Upload 13 files
Browse files- Notebook/Qwen2_5_financial_finetuning.ipynb +0 -0
- app.py +140 -0
- assets/improvements.png +0 -0
- assets/metrices.png +0 -0
- assets/workflow.png +0 -0
- index.html +1418 -0
- requirements.txt +18 -0
- scripts/__pycache__/load_llm.cpython-311.pyc +0 -0
- scripts/__pycache__/main.cpython-311.pyc +0 -0
- scripts/__pycache__/rag.cpython-311.pyc +0 -0
- scripts/load_llm.py +42 -0
- scripts/main.py +183 -0
- scripts/rag.py +188 -0
Notebook/Qwen2_5_financial_finetuning.ipynb
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app.py
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from fastapi import FastAPI, UploadFile, File, HTTPException
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import shutil
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from fastapi.responses import StreamingResponse
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import json
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import os
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from pydantic import BaseModel
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from fastapi.middleware.cors import CORSMiddleware
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from scripts.rag import RagPipeline
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from scripts.main import set_rag_instance
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from scripts.main import stream_chat_response
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app = FastAPI(version='1.0', title='FinAI', description="A finetuned qwen model for financial QA with rag.")
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rag = RagPipeline()
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set_rag_instance(rag)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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class ChatRequest(BaseModel):
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message: str
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thread_id: str = "default"
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@app.get('/')
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def health_check():
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return {'status' : 'The api is live.'}
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@app.post("/upload")
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async def upload_document(file: UploadFile = File(...)):
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try:
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if not file.filename.endswith(".pdf"):
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raise HTTPException(
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status_code=400,
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detail="Only PDF files allowed."
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)
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os.makedirs("temp_docs", exist_ok=True)
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file_path = f"temp_docs/{file.filename}"
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with open(file_path, "wb") as buffer:
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shutil.copyfileobj(file.file, buffer)
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rag.delete_all_docs()
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docs = rag.load_docs(file_path)
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split_docs = rag.split_docs(docs)
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rag.add_docs(split_docs)
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rag.create_bm25(split_docs)
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return {
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"status": "success",
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"message": "Document uploaded successfully",
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"chunks": len(split_docs),
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"document": file.filename
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}
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except Exception as e:
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raise HTTPException(
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status_code=500,
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detail=str(e)
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)
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@app.delete("/reset")
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async def reset_docs():
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try:
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rag.delete_all_docs()
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return {
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"status": "success",
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"message": "All docs deleted"
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}
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except Exception as e:
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raise HTTPException(
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status_code=500,
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detail=str(e)
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)
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@app.post("/chat/stream")
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async def chat_stream(request: ChatRequest):
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def event_generator():
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try:
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metadata_sent = False
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for chunk in stream_chat_response(
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user_message=request.message,
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thread_id=request.thread_id
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):
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if not metadata_sent:
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metadata_event = {
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"type": "metadata",
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"used_rag": chunk["metadata"]["used_rag"],
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"sources": chunk["metadata"]["sources"],
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"thread_id": chunk["metadata"]["thread_id"]
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}
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yield f"data: {json.dumps(metadata_event)}\n\n"
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metadata_sent = True
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token_event = {
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"type": "token",
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"content": chunk["token"]
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}
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yield f"data: {json.dumps(token_event)}\n\n"
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done_event = {
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"type": "done"
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}
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yield f"data: {json.dumps(done_event)}\n\n"
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except Exception as e:
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error_event = {
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"type": "error",
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"message": str(e)
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}
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yield f"data: {json.dumps(error_event)}\n\n"
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return StreamingResponse(
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event_generator(),
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media_type="text/event-stream"
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)
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assets/improvements.png
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assets/metrices.png
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assets/workflow.png
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index.html
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|
| 1 |
+
<!DOCTYPE html>
|
| 2 |
+
<html lang="en">
|
| 3 |
+
<head>
|
| 4 |
+
<meta charset="UTF-8">
|
| 5 |
+
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 6 |
+
<title>FinAI — Financial Intelligence</title>
|
| 7 |
+
<link rel="preconnect" href="https://fonts.googleapis.com">
|
| 8 |
+
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">
|
| 9 |
+
<style>
|
| 10 |
+
:root {
|
| 11 |
+
--bg: #050505;
|
| 12 |
+
--bg-elevated: #0a0a0a;
|
| 13 |
+
--bg-card: #0f0f0f;
|
| 14 |
+
--bg-hover: #161616;
|
| 15 |
+
--bg-active: #1a1a1a;
|
| 16 |
+
--border: #1f1f1f;
|
| 17 |
+
--border-light: #2a2a2a;
|
| 18 |
+
--border-hover: #333333;
|
| 19 |
+
--text: #f5f5f5;
|
| 20 |
+
--text-secondary: #a0a0a0;
|
| 21 |
+
--text-muted: #666666;
|
| 22 |
+
--text-dim: #444444;
|
| 23 |
+
--accent: #e8e8e8;
|
| 24 |
+
--accent-dim: #999999;
|
| 25 |
+
--radius-sm: 16px;
|
| 26 |
+
--radius: 20px;
|
| 27 |
+
--radius-lg: 24px;
|
| 28 |
+
--radius-pill: 999px;
|
| 29 |
+
}
|
| 30 |
+
|
| 31 |
+
* { margin: 0; padding: 0; box-sizing: border-box; }
|
| 32 |
+
|
| 33 |
+
body {
|
| 34 |
+
font-family: 'Inter', -apple-system, BlinkMacSystemFont, sans-serif;
|
| 35 |
+
background: var(--bg);
|
| 36 |
+
color: var(--text);
|
| 37 |
+
height: 100vh;
|
| 38 |
+
overflow: hidden;
|
| 39 |
+
line-height: 1.5;
|
| 40 |
+
-webkit-font-smoothing: antialiased;
|
| 41 |
+
}
|
| 42 |
+
|
| 43 |
+
::-webkit-scrollbar { width: 4px; }
|
| 44 |
+
::-webkit-scrollbar-track { background: transparent; }
|
| 45 |
+
::-webkit-scrollbar-thumb { background: var(--border); border-radius: 4px; }
|
| 46 |
+
|
| 47 |
+
@keyframes fadeIn { from { opacity: 0; transform: translateY(12px); } to { opacity: 1; transform: translateY(0); } }
|
| 48 |
+
@keyframes fadeInScale { from { opacity: 0; transform: scale(0.97); } to { opacity: 1; transform: scale(1); } }
|
| 49 |
+
@keyframes slideInRight { from { opacity: 0; transform: translateX(30px); } to { opacity: 1; transform: translateX(0); } }
|
| 50 |
+
@keyframes slideInLeft { from { opacity: 0; transform: translateX(-30px); } to { opacity: 1; transform: translateX(0); } }
|
| 51 |
+
@keyframes pulse { 0%,100% { opacity: 0.3; } 50% { opacity: 1; } }
|
| 52 |
+
@keyframes breathe { 0%,100% { transform: scale(1); opacity: 0.6; } 50% { transform: scale(1.05); opacity: 1; } }
|
| 53 |
+
@keyframes spin { to { transform: rotate(360deg); } }
|
| 54 |
+
@keyframes typingDot { 0%,100% { transform: translateY(0); } 50% { transform: translateY(-5px); } }
|
| 55 |
+
@keyframes shimmer { 0% { background-position: -200% 0; } 100% { background-position: 200% 0; } }
|
| 56 |
+
@keyframes progressFill { from { width: 0%; } to { width: 100%; } }
|
| 57 |
+
@keyframes cursorBlink { 0%,100% { opacity: 1; } 50% { opacity: 0; } }
|
| 58 |
+
@keyframes ripple { 0% { transform: scale(0); opacity: 0.5; } 100% { transform: scale(4); opacity: 0; } }
|
| 59 |
+
@keyframes float { 0%,100% { transform: translateY(0); } 50% { transform: translateY(-3px); } }
|
| 60 |
+
|
| 61 |
+
.app { display: flex; height: 100vh; width: 100vw; }
|
| 62 |
+
|
| 63 |
+
/* ===== SIDEBAR ===== */
|
| 64 |
+
.sidebar {
|
| 65 |
+
width: 300px;
|
| 66 |
+
background: var(--bg-elevated);
|
| 67 |
+
border-right: 1px solid var(--border);
|
| 68 |
+
display: flex; flex-direction: column;
|
| 69 |
+
padding: 20px;
|
| 70 |
+
gap: 20px;
|
| 71 |
+
overflow-y: auto;
|
| 72 |
+
transition: transform 0.4s cubic-bezier(0.16, 1, 0.3, 1);
|
| 73 |
+
position: relative; z-index: 100;
|
| 74 |
+
}
|
| 75 |
+
|
| 76 |
+
.sidebar-logo {
|
| 77 |
+
display: flex; align-items: center; gap: 12px;
|
| 78 |
+
padding: 8px 4px;
|
| 79 |
+
}
|
| 80 |
+
|
| 81 |
+
.logo-ring {
|
| 82 |
+
width: 36px; height: 36px;
|
| 83 |
+
border-radius: var(--radius-sm);
|
| 84 |
+
background: var(--bg-card);
|
| 85 |
+
border: 1.5px solid var(--border-light);
|
| 86 |
+
display: flex; align-items: center; justify-content: center;
|
| 87 |
+
font-size: 16px;
|
| 88 |
+
position: relative;
|
| 89 |
+
overflow: hidden;
|
| 90 |
+
}
|
| 91 |
+
|
| 92 |
+
.logo-ring::after {
|
| 93 |
+
content: ''; position: absolute; inset: -2px;
|
| 94 |
+
border-radius: inherit;
|
| 95 |
+
background: conic-gradient(from 0deg, transparent, var(--text-dim), transparent);
|
| 96 |
+
opacity: 0.3;
|
| 97 |
+
animation: spin 8s linear infinite;
|
| 98 |
+
z-index: -1;
|
| 99 |
+
}
|
| 100 |
+
|
| 101 |
+
.logo-text {
|
| 102 |
+
font-size: 18px; font-weight: 700;
|
| 103 |
+
letter-spacing: -0.4px;
|
| 104 |
+
color: var(--text);
|
| 105 |
+
}
|
| 106 |
+
|
| 107 |
+
.new-chat {
|
| 108 |
+
display: flex; align-items: center; justify-content: center;
|
| 109 |
+
gap: 8px; padding: 12px;
|
| 110 |
+
background: var(--bg-card);
|
| 111 |
+
border: 1.5px solid var(--border);
|
| 112 |
+
border-radius: var(--radius-sm);
|
| 113 |
+
color: var(--text);
|
| 114 |
+
font-size: 13px; font-weight: 500;
|
| 115 |
+
font-family: inherit; cursor: pointer;
|
| 116 |
+
transition: all 0.25s cubic-bezier(0.16, 1, 0.3, 1);
|
| 117 |
+
}
|
| 118 |
+
|
| 119 |
+
.new-chat:hover {
|
| 120 |
+
background: var(--bg-hover);
|
| 121 |
+
border-color: var(--border-hover);
|
| 122 |
+
transform: translateY(-1px);
|
| 123 |
+
box-shadow: 0 4px 20px rgba(0,0,0,0.4);
|
| 124 |
+
}
|
| 125 |
+
|
| 126 |
+
.new-chat:active { transform: scale(0.98); }
|
| 127 |
+
|
| 128 |
+
.section-label {
|
| 129 |
+
font-size: 10px; font-weight: 600;
|
| 130 |
+
text-transform: uppercase;
|
| 131 |
+
letter-spacing: 2px;
|
| 132 |
+
color: var(--text-dim);
|
| 133 |
+
padding: 0 6px;
|
| 134 |
+
margin-bottom: 6px;
|
| 135 |
+
}
|
| 136 |
+
|
| 137 |
+
.recent-list { display: flex; flex-direction: column; gap: 2px; }
|
| 138 |
+
|
| 139 |
+
.recent-item {
|
| 140 |
+
display: flex; align-items: center; gap: 10px;
|
| 141 |
+
padding: 10px 12px;
|
| 142 |
+
border-radius: var(--radius-sm);
|
| 143 |
+
cursor: pointer;
|
| 144 |
+
transition: all 0.2s ease;
|
| 145 |
+
position: relative;
|
| 146 |
+
}
|
| 147 |
+
|
| 148 |
+
.recent-item:hover { background: var(--bg-hover); }
|
| 149 |
+
.recent-item.active { background: var(--bg-active); }
|
| 150 |
+
.recent-item.active::before {
|
| 151 |
+
content: ''; position: absolute; left: 0; top: 50%; transform: translateY(-50%);
|
| 152 |
+
width: 3px; height: 14px; background: var(--text-secondary); border-radius: 2px;
|
| 153 |
+
}
|
| 154 |
+
|
| 155 |
+
.recent-dot {
|
| 156 |
+
width: 6px; height: 6px; border-radius: 50%;
|
| 157 |
+
background: var(--border-light); flex-shrink: 0;
|
| 158 |
+
}
|
| 159 |
+
.recent-item.active .recent-dot { background: var(--text-secondary); }
|
| 160 |
+
|
| 161 |
+
.recent-title {
|
| 162 |
+
font-size: 13px; font-weight: 500;
|
| 163 |
+
color: var(--text-secondary);
|
| 164 |
+
white-space: nowrap; overflow: hidden; text-overflow: ellipsis;
|
| 165 |
+
}
|
| 166 |
+
.recent-time { font-size: 11px; color: var(--text-dim); margin-top: 1px; }
|
| 167 |
+
|
| 168 |
+
/* Upload Area */
|
| 169 |
+
.upload-wrap { display: flex; flex-direction: column; gap: 10px; }
|
| 170 |
+
|
| 171 |
+
.upload-zone {
|
| 172 |
+
border: 1.5px dashed var(--border-light);
|
| 173 |
+
border-radius: var(--radius-sm);
|
| 174 |
+
padding: 24px 16px;
|
| 175 |
+
text-align: center;
|
| 176 |
+
cursor: pointer;
|
| 177 |
+
transition: all 0.3s ease;
|
| 178 |
+
background: var(--bg-card);
|
| 179 |
+
position: relative;
|
| 180 |
+
overflow: hidden;
|
| 181 |
+
}
|
| 182 |
+
|
| 183 |
+
.upload-zone:hover {
|
| 184 |
+
border-color: var(--border-hover);
|
| 185 |
+
background: var(--bg-hover);
|
| 186 |
+
}
|
| 187 |
+
|
| 188 |
+
.upload-zone.dragover {
|
| 189 |
+
border-color: var(--text-muted);
|
| 190 |
+
background: rgba(255,255,255,0.02);
|
| 191 |
+
}
|
| 192 |
+
|
| 193 |
+
.upload-zone input { position: absolute; inset: 0; opacity: 0; cursor: pointer; }
|
| 194 |
+
|
| 195 |
+
.upload-zone-icon { font-size: 28px; margin-bottom: 8px; display: block; filter: grayscale(1); opacity: 0.7; }
|
| 196 |
+
.upload-zone-text { font-size: 13px; color: var(--text-secondary); font-weight: 500; }
|
| 197 |
+
.upload-zone-hint { font-size: 11px; color: var(--text-dim); margin-top: 3px; }
|
| 198 |
+
|
| 199 |
+
/* Upload Progress */
|
| 200 |
+
.upload-progress {
|
| 201 |
+
display: none;
|
| 202 |
+
flex-direction: column;
|
| 203 |
+
gap: 8px;
|
| 204 |
+
padding: 12px;
|
| 205 |
+
background: var(--bg-card);
|
| 206 |
+
border: 1px solid var(--border);
|
| 207 |
+
border-radius: var(--radius-sm);
|
| 208 |
+
animation: fadeInScale 0.3s ease;
|
| 209 |
+
}
|
| 210 |
+
|
| 211 |
+
.upload-progress.show { display: flex; }
|
| 212 |
+
|
| 213 |
+
.progress-track {
|
| 214 |
+
height: 3px;
|
| 215 |
+
background: var(--border);
|
| 216 |
+
border-radius: 3px;
|
| 217 |
+
overflow: hidden;
|
| 218 |
+
}
|
| 219 |
+
|
| 220 |
+
.progress-fill {
|
| 221 |
+
height: 100%;
|
| 222 |
+
background: linear-gradient(90deg, var(--text-dim), var(--text-secondary), var(--text-dim));
|
| 223 |
+
background-size: 200% 100%;
|
| 224 |
+
border-radius: 3px;
|
| 225 |
+
width: 0%;
|
| 226 |
+
transition: width 0.4s cubic-bezier(0.16, 1, 0.3, 1);
|
| 227 |
+
animation: shimmer 2s linear infinite;
|
| 228 |
+
}
|
| 229 |
+
|
| 230 |
+
.progress-info {
|
| 231 |
+
display: flex; justify-content: space-between; align-items: center;
|
| 232 |
+
font-size: 11px;
|
| 233 |
+
}
|
| 234 |
+
|
| 235 |
+
.progress-step {
|
| 236 |
+
color: var(--text-secondary);
|
| 237 |
+
font-weight: 500;
|
| 238 |
+
display: flex; align-items: center; gap: 6px;
|
| 239 |
+
}
|
| 240 |
+
|
| 241 |
+
.progress-step .spinner {
|
| 242 |
+
width: 12px; height: 12px;
|
| 243 |
+
border: 1.5px solid transparent;
|
| 244 |
+
border-top-color: var(--text-secondary);
|
| 245 |
+
border-radius: 50%;
|
| 246 |
+
animation: spin 0.8s linear infinite;
|
| 247 |
+
}
|
| 248 |
+
|
| 249 |
+
.progress-pct { color: var(--text-dim); font-family: 'JetBrains Mono', monospace; font-size: 10px; }
|
| 250 |
+
|
| 251 |
+
.upload-done {
|
| 252 |
+
display: none;
|
| 253 |
+
padding: 12px;
|
| 254 |
+
background: var(--bg-card);
|
| 255 |
+
border: 1px solid var(--border);
|
| 256 |
+
border-radius: var(--radius-sm);
|
| 257 |
+
animation: fadeInScale 0.3s ease;
|
| 258 |
+
}
|
| 259 |
+
|
| 260 |
+
.upload-done.show { display: flex; align-items: center; gap: 10px; }
|
| 261 |
+
|
| 262 |
+
.upload-done-icon {
|
| 263 |
+
width: 28px; height: 28px;
|
| 264 |
+
border-radius: 50%;
|
| 265 |
+
background: var(--bg-hover);
|
| 266 |
+
display: flex; align-items: center; justify-content: center;
|
| 267 |
+
font-size: 13px;
|
| 268 |
+
flex-shrink: 0;
|
| 269 |
+
}
|
| 270 |
+
|
| 271 |
+
.upload-done-text { font-size: 12px; color: var(--text-secondary); font-weight: 500; }
|
| 272 |
+
.upload-done-meta { font-size: 10px; color: var(--text-dim); margin-top: 2px; }
|
| 273 |
+
|
| 274 |
+
.upload-btn {
|
| 275 |
+
padding: 10px;
|
| 276 |
+
background: var(--bg-card);
|
| 277 |
+
border: 1.5px solid var(--border);
|
| 278 |
+
border-radius: var(--radius-sm);
|
| 279 |
+
color: var(--text);
|
| 280 |
+
font-size: 13px; font-weight: 500;
|
| 281 |
+
font-family: inherit; cursor: pointer;
|
| 282 |
+
transition: all 0.25s ease;
|
| 283 |
+
width: 100%;
|
| 284 |
+
}
|
| 285 |
+
|
| 286 |
+
.upload-btn:hover {
|
| 287 |
+
background: var(--bg-hover);
|
| 288 |
+
border-color: var(--border-hover);
|
| 289 |
+
}
|
| 290 |
+
|
| 291 |
+
.upload-btn:disabled { opacity: 0.4; cursor: not-allowed; }
|
| 292 |
+
|
| 293 |
+
.reset-btn {
|
| 294 |
+
padding: 10px;
|
| 295 |
+
background: transparent;
|
| 296 |
+
border: 1.5px solid var(--border);
|
| 297 |
+
border-radius: var(--radius-sm);
|
| 298 |
+
color: var(--text-muted);
|
| 299 |
+
font-size: 12px; font-weight: 500;
|
| 300 |
+
font-family: inherit; cursor: pointer;
|
| 301 |
+
transition: all 0.2s;
|
| 302 |
+
width: 100%;
|
| 303 |
+
display: flex; align-items: center; justify-content: center; gap: 6px;
|
| 304 |
+
}
|
| 305 |
+
|
| 306 |
+
.reset-btn:hover {
|
| 307 |
+
border-color: rgba(239,68,68,0.3);
|
| 308 |
+
color: #ef4444;
|
| 309 |
+
background: rgba(239,68,68,0.03);
|
| 310 |
+
}
|
| 311 |
+
|
| 312 |
+
/* Session */
|
| 313 |
+
.session-box {
|
| 314 |
+
margin-top: auto;
|
| 315 |
+
padding-top: 16px;
|
| 316 |
+
border-top: 1px solid var(--border);
|
| 317 |
+
display: flex; flex-direction: column; gap: 10px;
|
| 318 |
+
}
|
| 319 |
+
|
| 320 |
+
.session-label {
|
| 321 |
+
display: flex; justify-content: space-between; align-items: center;
|
| 322 |
+
font-size: 10px; color: var(--text-dim);
|
| 323 |
+
text-transform: uppercase;
|
| 324 |
+
letter-spacing: 1.5px;
|
| 325 |
+
}
|
| 326 |
+
|
| 327 |
+
.session-id {
|
| 328 |
+
font-family: 'JetBrains Mono', monospace;
|
| 329 |
+
font-size: 10px; color: var(--text-dim);
|
| 330 |
+
word-break: break-all;
|
| 331 |
+
padding: 8px 10px;
|
| 332 |
+
background: var(--bg-card);
|
| 333 |
+
border: 1px solid var(--border);
|
| 334 |
+
border-radius: var(--radius-sm);
|
| 335 |
+
}
|
| 336 |
+
|
| 337 |
+
.copy-mini {
|
| 338 |
+
background: none; border: none;
|
| 339 |
+
color: var(--text-dim); cursor: pointer;
|
| 340 |
+
font-size: 10px; padding: 2px 6px;
|
| 341 |
+
border-radius: 4px; transition: all 0.2s;
|
| 342 |
+
}
|
| 343 |
+
|
| 344 |
+
.copy-mini:hover { color: var(--text-secondary); background: var(--bg-hover); }
|
| 345 |
+
|
| 346 |
+
.version { font-size: 10px; color: var(--text-dim); text-align: center; }
|
| 347 |
+
|
| 348 |
+
/* ===== MAIN ===== */
|
| 349 |
+
.main {
|
| 350 |
+
flex: 1;
|
| 351 |
+
display: flex; flex-direction: column;
|
| 352 |
+
position: relative; overflow: hidden;
|
| 353 |
+
background: var(--bg);
|
| 354 |
+
}
|
| 355 |
+
|
| 356 |
+
/* Empty State */
|
| 357 |
+
.empty {
|
| 358 |
+
flex: 1;
|
| 359 |
+
display: flex; flex-direction: column;
|
| 360 |
+
align-items: center; justify-content: center;
|
| 361 |
+
gap: 24px;
|
| 362 |
+
padding: 40px 24px;
|
| 363 |
+
animation: fadeInScale 0.6s ease;
|
| 364 |
+
}
|
| 365 |
+
|
| 366 |
+
.empty-orb {
|
| 367 |
+
width: 72px; height: 72px;
|
| 368 |
+
border-radius: var(--radius-lg);
|
| 369 |
+
background: var(--bg-card);
|
| 370 |
+
border: 1.5px solid var(--border);
|
| 371 |
+
display: flex; align-items: center; justify-content: center;
|
| 372 |
+
font-size: 28px;
|
| 373 |
+
position: relative;
|
| 374 |
+
animation: breathe 4s ease-in-out infinite;
|
| 375 |
+
}
|
| 376 |
+
|
| 377 |
+
.empty-orb::before {
|
| 378 |
+
content: ''; position: absolute; inset: -4px;
|
| 379 |
+
border-radius: inherit;
|
| 380 |
+
background: conic-gradient(from 0deg, transparent, var(--border-light), transparent);
|
| 381 |
+
opacity: 0.2;
|
| 382 |
+
animation: spin 12s linear infinite;
|
| 383 |
+
z-index: -1;
|
| 384 |
+
}
|
| 385 |
+
|
| 386 |
+
.empty-title {
|
| 387 |
+
font-size: 32px; font-weight: 700;
|
| 388 |
+
letter-spacing: -1px;
|
| 389 |
+
color: var(--text);
|
| 390 |
+
}
|
| 391 |
+
|
| 392 |
+
.empty-desc {
|
| 393 |
+
font-size: 14px; color: var(--text-muted);
|
| 394 |
+
text-align: center; max-width: 400px; line-height: 1.7;
|
| 395 |
+
}
|
| 396 |
+
|
| 397 |
+
.empty-chips {
|
| 398 |
+
display: flex; flex-wrap: wrap;
|
| 399 |
+
justify-content: center; gap: 8px;
|
| 400 |
+
max-width: 600px; margin-top: 4px;
|
| 401 |
+
}
|
| 402 |
+
|
| 403 |
+
.chip {
|
| 404 |
+
padding: 8px 16px;
|
| 405 |
+
background: var(--bg-card);
|
| 406 |
+
border: 1px solid var(--border);
|
| 407 |
+
border-radius: var(--radius-pill);
|
| 408 |
+
font-size: 12px; color: var(--text-secondary);
|
| 409 |
+
cursor: pointer;
|
| 410 |
+
transition: all 0.25s cubic-bezier(0.16, 1, 0.3, 1);
|
| 411 |
+
font-weight: 500;
|
| 412 |
+
}
|
| 413 |
+
|
| 414 |
+
.chip:hover {
|
| 415 |
+
border-color: var(--border-hover);
|
| 416 |
+
color: var(--text);
|
| 417 |
+
background: var(--bg-hover);
|
| 418 |
+
transform: translateY(-2px);
|
| 419 |
+
box-shadow: 0 4px 16px rgba(0,0,0,0.3);
|
| 420 |
+
}
|
| 421 |
+
|
| 422 |
+
/* Messages */
|
| 423 |
+
.messages {
|
| 424 |
+
flex: 1;
|
| 425 |
+
overflow-y: auto;
|
| 426 |
+
padding: 32px 24px 16px;
|
| 427 |
+
display: flex; flex-direction: column;
|
| 428 |
+
gap: 28px;
|
| 429 |
+
scroll-behavior: smooth;
|
| 430 |
+
}
|
| 431 |
+
|
| 432 |
+
.msg {
|
| 433 |
+
display: flex; gap: 14px;
|
| 434 |
+
max-width: 780px;
|
| 435 |
+
width: 100%;
|
| 436 |
+
align-self: center;
|
| 437 |
+
animation: fadeIn 0.35s ease-out;
|
| 438 |
+
}
|
| 439 |
+
|
| 440 |
+
.msg-avatar {
|
| 441 |
+
width: 32px; height: 32px;
|
| 442 |
+
border-radius: 50%;
|
| 443 |
+
display: flex; align-items: center; justify-content: center;
|
| 444 |
+
flex-shrink: 0;
|
| 445 |
+
font-size: 13px;
|
| 446 |
+
position: relative;
|
| 447 |
+
}
|
| 448 |
+
|
| 449 |
+
.msg-avatar.user {
|
| 450 |
+
background: var(--bg-card);
|
| 451 |
+
border: 1.5px solid var(--border-light);
|
| 452 |
+
color: var(--text-secondary);
|
| 453 |
+
}
|
| 454 |
+
|
| 455 |
+
.msg-avatar.assistant {
|
| 456 |
+
background: var(--bg-card);
|
| 457 |
+
border: 1.5px solid var(--border-light);
|
| 458 |
+
color: var(--text);
|
| 459 |
+
}
|
| 460 |
+
|
| 461 |
+
.msg-avatar::after {
|
| 462 |
+
content: ''; position: absolute; bottom: -2px; right: -2px;
|
| 463 |
+
width: 8px; height: 8px; border-radius: 50%;
|
| 464 |
+
background: var(--bg); border: 2px solid var(--bg);
|
| 465 |
+
}
|
| 466 |
+
|
| 467 |
+
.msg-avatar.user::after { background: var(--text-dim); }
|
| 468 |
+
.msg-avatar.assistant::after { background: var(--text-secondary); }
|
| 469 |
+
|
| 470 |
+
.msg-body { flex: 1; min-width: 0; display: flex; flex-direction: column; gap: 4px; }
|
| 471 |
+
|
| 472 |
+
.msg-head {
|
| 473 |
+
display: flex; align-items: center; gap: 8px;
|
| 474 |
+
font-size: 12px;
|
| 475 |
+
}
|
| 476 |
+
|
| 477 |
+
.msg-name { font-weight: 600; color: var(--text); }
|
| 478 |
+
.msg-time { color: var(--text-dim); font-weight: 400; font-size: 11px; }
|
| 479 |
+
|
| 480 |
+
.msg-text {
|
| 481 |
+
font-size: 14.5px; line-height: 1.75;
|
| 482 |
+
color: var(--text-secondary);
|
| 483 |
+
word-wrap: break-word;
|
| 484 |
+
padding: 2px 0;
|
| 485 |
+
}
|
| 486 |
+
|
| 487 |
+
.msg-text strong { color: var(--text); font-weight: 600; }
|
| 488 |
+
.msg-text em { color: var(--text); font-style: italic; }
|
| 489 |
+
.msg-text code {
|
| 490 |
+
background: var(--bg-elevated);
|
| 491 |
+
padding: 2px 6px;
|
| 492 |
+
border-radius: 6px;
|
| 493 |
+
font-family: 'JetBrains Mono', monospace;
|
| 494 |
+
font-size: 12px; color: var(--text);
|
| 495 |
+
border: 1px solid var(--border);
|
| 496 |
+
}
|
| 497 |
+
|
| 498 |
+
.msg-text p { margin: 0 0 10px 0; }
|
| 499 |
+
.msg-text p:last-child { margin-bottom: 0; }
|
| 500 |
+
|
| 501 |
+
/* Typing */
|
| 502 |
+
.typing {
|
| 503 |
+
display: flex; gap: 4px; align-items: center;
|
| 504 |
+
padding: 6px 0;
|
| 505 |
+
}
|
| 506 |
+
|
| 507 |
+
.typing span {
|
| 508 |
+
width: 5px; height: 5px;
|
| 509 |
+
background: var(--text-dim);
|
| 510 |
+
border-radius: 50%;
|
| 511 |
+
animation: typingDot 1.4s ease-in-out infinite;
|
| 512 |
+
}
|
| 513 |
+
|
| 514 |
+
.typing span:nth-child(2) { animation-delay: 0.2s; }
|
| 515 |
+
.typing span:nth-child(3) { animation-delay: 0.4s; }
|
| 516 |
+
|
| 517 |
+
/* Cursor */
|
| 518 |
+
.stream-cursor {
|
| 519 |
+
display: inline-block;
|
| 520 |
+
width: 2px; height: 1.1em;
|
| 521 |
+
background: var(--text-secondary);
|
| 522 |
+
margin-left: 2px;
|
| 523 |
+
vertical-align: text-bottom;
|
| 524 |
+
animation: cursorBlink 1s step-end infinite;
|
| 525 |
+
}
|
| 526 |
+
|
| 527 |
+
/* RAG Card */
|
| 528 |
+
.rag {
|
| 529 |
+
margin-top: 10px;
|
| 530 |
+
background: var(--bg-elevated);
|
| 531 |
+
border: 1px solid var(--border);
|
| 532 |
+
border-radius: var(--radius-sm);
|
| 533 |
+
overflow: hidden;
|
| 534 |
+
animation: fadeInScale 0.35s ease;
|
| 535 |
+
}
|
| 536 |
+
|
| 537 |
+
.rag-toggle {
|
| 538 |
+
display: flex; align-items: center; gap: 10px;
|
| 539 |
+
padding: 10px 14px;
|
| 540 |
+
cursor: pointer;
|
| 541 |
+
user-select: none;
|
| 542 |
+
transition: background 0.15s;
|
| 543 |
+
}
|
| 544 |
+
|
| 545 |
+
.rag-toggle:hover { background: var(--bg-hover); }
|
| 546 |
+
|
| 547 |
+
.rag-badge {
|
| 548 |
+
display: inline-flex; align-items: center; gap: 4px;
|
| 549 |
+
padding: 3px 10px; border-radius: var(--radius-pill);
|
| 550 |
+
font-size: 10px; font-weight: 700;
|
| 551 |
+
text-transform: uppercase; letter-spacing: 0.8px;
|
| 552 |
+
}
|
| 553 |
+
|
| 554 |
+
.rag-badge.rag-active {
|
| 555 |
+
background: var(--bg-hover);
|
| 556 |
+
color: var(--text-secondary);
|
| 557 |
+
border: 1px solid var(--border-light);
|
| 558 |
+
}
|
| 559 |
+
|
| 560 |
+
.rag-badge.rag-direct {
|
| 561 |
+
background: var(--bg-hover);
|
| 562 |
+
color: var(--text-dim);
|
| 563 |
+
border: 1px solid var(--border);
|
| 564 |
+
}
|
| 565 |
+
|
| 566 |
+
.rag-label { font-size: 12px; color: var(--text-muted); font-weight: 500; }
|
| 567 |
+
.rag-arrow { margin-left: auto; font-size: 10px; color: var(--text-dim); transition: transform 0.25s ease; }
|
| 568 |
+
.rag-toggle.open .rag-arrow { transform: rotate(180deg); }
|
| 569 |
+
|
| 570 |
+
.rag-body {
|
| 571 |
+
display: none;
|
| 572 |
+
padding: 0 14px 12px;
|
| 573 |
+
flex-direction: column; gap: 6px;
|
| 574 |
+
}
|
| 575 |
+
|
| 576 |
+
.rag-body.open { display: flex; }
|
| 577 |
+
|
| 578 |
+
.source {
|
| 579 |
+
display: flex; align-items: center; gap: 10px;
|
| 580 |
+
padding: 10px 12px;
|
| 581 |
+
background: var(--bg);
|
| 582 |
+
border-radius: var(--radius-sm);
|
| 583 |
+
border: 1px solid var(--border);
|
| 584 |
+
transition: all 0.2s ease;
|
| 585 |
+
}
|
| 586 |
+
|
| 587 |
+
.source:hover {
|
| 588 |
+
border-color: var(--border-hover);
|
| 589 |
+
background: var(--bg-card);
|
| 590 |
+
transform: translateX(3px);
|
| 591 |
+
}
|
| 592 |
+
|
| 593 |
+
.source-icon {
|
| 594 |
+
width: 28px; height: 28px;
|
| 595 |
+
background: var(--bg-elevated);
|
| 596 |
+
border-radius: 8px;
|
| 597 |
+
display: flex; align-items: center; justify-content: center;
|
| 598 |
+
font-size: 12px; flex-shrink: 0;
|
| 599 |
+
border: 1px solid var(--border);
|
| 600 |
+
}
|
| 601 |
+
|
| 602 |
+
.source-info { flex: 1; min-width: 0; }
|
| 603 |
+
.source-name {
|
| 604 |
+
font-size: 12px; font-weight: 500;
|
| 605 |
+
color: var(--text-secondary);
|
| 606 |
+
white-space: nowrap; overflow: hidden; text-overflow: ellipsis;
|
| 607 |
+
}
|
| 608 |
+
.source-meta { font-size: 10px; color: var(--text-dim); margin-top: 1px; }
|
| 609 |
+
|
| 610 |
+
.source-score {
|
| 611 |
+
font-family: 'JetBrains Mono', monospace;
|
| 612 |
+
font-size: 10px; color: var(--text-secondary);
|
| 613 |
+
background: var(--bg-elevated);
|
| 614 |
+
padding: 3px 8px; border-radius: 6px;
|
| 615 |
+
border: 1px solid var(--border);
|
| 616 |
+
}
|
| 617 |
+
|
| 618 |
+
.rag-footer {
|
| 619 |
+
padding-top: 8px; margin-top: 4px;
|
| 620 |
+
border-top: 1px solid var(--border);
|
| 621 |
+
font-size: 10px; color: var(--text-dim);
|
| 622 |
+
font-family: 'JetBrains Mono', monospace;
|
| 623 |
+
display: flex; justify-content: space-between;
|
| 624 |
+
}
|
| 625 |
+
|
| 626 |
+
/* Performance */
|
| 627 |
+
.perf {
|
| 628 |
+
display: flex; align-items: center; gap: 14px;
|
| 629 |
+
padding: 4px 0;
|
| 630 |
+
font-size: 11px;
|
| 631 |
+
color: var(--text-dim);
|
| 632 |
+
font-family: 'JetBrains Mono', monospace;
|
| 633 |
+
}
|
| 634 |
+
|
| 635 |
+
.perf-item { display: flex; align-items: center; gap: 5px; }
|
| 636 |
+
.perf-dot {
|
| 637 |
+
width: 4px; height: 4px; border-radius: 50%;
|
| 638 |
+
background: var(--text-dim);
|
| 639 |
+
}
|
| 640 |
+
|
| 641 |
+
/* Input */
|
| 642 |
+
.input-area {
|
| 643 |
+
padding: 16px 24px 28px;
|
| 644 |
+
display: flex; flex-direction: column;
|
| 645 |
+
align-items: center; gap: 10px;
|
| 646 |
+
position: relative;
|
| 647 |
+
}
|
| 648 |
+
|
| 649 |
+
.input-box {
|
| 650 |
+
display: flex; align-items: flex-end; gap: 10px;
|
| 651 |
+
width: 100%; max-width: 720px;
|
| 652 |
+
background: var(--bg-elevated);
|
| 653 |
+
border: 1.5px solid var(--border);
|
| 654 |
+
border-radius: var(--radius);
|
| 655 |
+
padding: 6px 6px 6px 18px;
|
| 656 |
+
transition: all 0.3s cubic-bezier(0.16, 1, 0.3, 1);
|
| 657 |
+
}
|
| 658 |
+
|
| 659 |
+
.input-box:focus-within {
|
| 660 |
+
border-color: var(--border-hover);
|
| 661 |
+
box-shadow: 0 0 0 4px rgba(255,255,255,0.03), 0 8px 32px rgba(0,0,0,0.4);
|
| 662 |
+
}
|
| 663 |
+
|
| 664 |
+
.input-field {
|
| 665 |
+
flex: 1;
|
| 666 |
+
background: transparent; border: none;
|
| 667 |
+
color: var(--text); font-family: inherit;
|
| 668 |
+
font-size: 14.5px; padding: 10px 0;
|
| 669 |
+
resize: none; outline: none;
|
| 670 |
+
max-height: 160px; min-height: 24px;
|
| 671 |
+
line-height: 1.6;
|
| 672 |
+
}
|
| 673 |
+
|
| 674 |
+
.input-field::placeholder { color: var(--text-dim); }
|
| 675 |
+
|
| 676 |
+
.send-btn {
|
| 677 |
+
width: 32px; height: 32px;
|
| 678 |
+
border-radius: 50%;
|
| 679 |
+
background: var(--bg-card);
|
| 680 |
+
border: 1.5px solid var(--border);
|
| 681 |
+
color: var(--text-secondary);
|
| 682 |
+
display: flex; align-items: center; justify-content: center;
|
| 683 |
+
cursor: pointer;
|
| 684 |
+
transition: all 0.25s cubic-bezier(0.16, 1, 0.3, 1);
|
| 685 |
+
flex-shrink: 0; margin-bottom: 2px;
|
| 686 |
+
}
|
| 687 |
+
|
| 688 |
+
.send-btn:hover {
|
| 689 |
+
background: var(--bg-hover);
|
| 690 |
+
border-color: var(--border-hover);
|
| 691 |
+
color: var(--text);
|
| 692 |
+
transform: scale(1.08);
|
| 693 |
+
}
|
| 694 |
+
|
| 695 |
+
.send-btn:active { transform: scale(0.95); }
|
| 696 |
+
.send-btn:disabled { opacity: 0.3; cursor: not-allowed; transform: none; }
|
| 697 |
+
|
| 698 |
+
.send-btn svg { width: 15px; height: 15px; }
|
| 699 |
+
|
| 700 |
+
.input-hint {
|
| 701 |
+
font-size: 11px; color: var(--text-dim);
|
| 702 |
+
text-align: center;
|
| 703 |
+
}
|
| 704 |
+
|
| 705 |
+
/* Status */
|
| 706 |
+
.status-bar {
|
| 707 |
+
position: absolute; bottom: 0; left: 0; right: 0;
|
| 708 |
+
padding: 6px 24px;
|
| 709 |
+
display: flex; align-items: center; gap: 8px;
|
| 710 |
+
font-size: 11px; color: var(--text-dim);
|
| 711 |
+
pointer-events: none;
|
| 712 |
+
}
|
| 713 |
+
|
| 714 |
+
.status-pulse {
|
| 715 |
+
width: 5px; height: 5px;
|
| 716 |
+
background: var(--text-dim);
|
| 717 |
+
border-radius: 50%;
|
| 718 |
+
}
|
| 719 |
+
|
| 720 |
+
.status-pulse.active {
|
| 721 |
+
background: var(--text-secondary);
|
| 722 |
+
animation: pulse 2s ease-in-out infinite;
|
| 723 |
+
box-shadow: 0 0 6px rgba(160,160,160,0.3);
|
| 724 |
+
}
|
| 725 |
+
|
| 726 |
+
/* Toast */
|
| 727 |
+
.toasts {
|
| 728 |
+
position: fixed; top: 16px; right: 16px;
|
| 729 |
+
z-index: 1000;
|
| 730 |
+
display: flex; flex-direction: column; gap: 8px;
|
| 731 |
+
}
|
| 732 |
+
|
| 733 |
+
.toast {
|
| 734 |
+
padding: 12px 18px; border-radius: var(--radius-sm);
|
| 735 |
+
font-size: 13px; font-weight: 500;
|
| 736 |
+
display: flex; align-items: center; gap: 10px;
|
| 737 |
+
animation: slideInRight 0.35s cubic-bezier(0.16, 1, 0.3, 1);
|
| 738 |
+
box-shadow: 0 8px 32px rgba(0,0,0,0.5);
|
| 739 |
+
backdrop-filter: blur(16px);
|
| 740 |
+
max-width: 380px;
|
| 741 |
+
border: 1px solid var(--border);
|
| 742 |
+
}
|
| 743 |
+
|
| 744 |
+
.toast.ok { background: var(--bg-card); color: var(--text); }
|
| 745 |
+
.toast.err { background: var(--bg-card); color: #ef4444; }
|
| 746 |
+
.toast.info { background: var(--bg-card); color: var(--text-secondary); }
|
| 747 |
+
|
| 748 |
+
/* Mobile */
|
| 749 |
+
.mobile-toggle {
|
| 750 |
+
display: none;
|
| 751 |
+
position: absolute; left: 16px; top: 14px;
|
| 752 |
+
width: 36px; height: 36px;
|
| 753 |
+
border-radius: var(--radius-sm);
|
| 754 |
+
border: 1.5px solid var(--border);
|
| 755 |
+
background: var(--bg-elevated);
|
| 756 |
+
color: var(--text-secondary);
|
| 757 |
+
align-items: center; justify-content: center;
|
| 758 |
+
cursor: pointer; font-size: 16px; z-index: 60;
|
| 759 |
+
}
|
| 760 |
+
|
| 761 |
+
.sidebar-overlay {
|
| 762 |
+
display: none; position: fixed; inset: 0;
|
| 763 |
+
background: rgba(0,0,0,0.6);
|
| 764 |
+
z-index: 99; backdrop-filter: blur(4px);
|
| 765 |
+
}
|
| 766 |
+
|
| 767 |
+
@media (max-width: 768px) {
|
| 768 |
+
.sidebar { position: fixed; left: 0; top: 0; height: 100vh; transform: translateX(-100%); width: 280px; }
|
| 769 |
+
.sidebar.open { transform: translateX(0); }
|
| 770 |
+
.sidebar-overlay.show { display: block; }
|
| 771 |
+
.mobile-toggle { display: flex; }
|
| 772 |
+
.messages { padding: 56px 16px 16px; }
|
| 773 |
+
.msg { max-width: 100%; }
|
| 774 |
+
.input-area { padding: 12px 16px 20px; }
|
| 775 |
+
.empty-title { font-size: 26px; }
|
| 776 |
+
}
|
| 777 |
+
|
| 778 |
+
/* Chat header */
|
| 779 |
+
.chat-header {
|
| 780 |
+
padding: 14px 24px;
|
| 781 |
+
border-bottom: 1px solid var(--border);
|
| 782 |
+
display: flex; align-items: center; justify-content: center;
|
| 783 |
+
position: relative;
|
| 784 |
+
background: rgba(5,5,5,0.8);
|
| 785 |
+
backdrop-filter: blur(16px);
|
| 786 |
+
}
|
| 787 |
+
|
| 788 |
+
.chat-header-text {
|
| 789 |
+
font-size: 13px; font-weight: 600;
|
| 790 |
+
color: var(--text-muted);
|
| 791 |
+
letter-spacing: 0.5px;
|
| 792 |
+
}
|
| 793 |
+
|
| 794 |
+
.spinner {
|
| 795 |
+
width: 14px; height: 14px;
|
| 796 |
+
border: 1.5px solid transparent;
|
| 797 |
+
border-top-color: currentColor;
|
| 798 |
+
border-radius: 50%;
|
| 799 |
+
animation: spin 0.8s linear infinite;
|
| 800 |
+
}
|
| 801 |
+
</style>
|
| 802 |
+
<base target="_blank">
|
| 803 |
+
</head>
|
| 804 |
+
<body>
|
| 805 |
+
<div class="app">
|
| 806 |
+
<!-- Sidebar -->
|
| 807 |
+
<aside class="sidebar" id="sidebar">
|
| 808 |
+
<div class="sidebar-logo">
|
| 809 |
+
<div class="logo-ring">💹</div>
|
| 810 |
+
<div class="logo-text">FinAI</div>
|
| 811 |
+
</div>
|
| 812 |
+
|
| 813 |
+
<button class="new-chat" id="newChatBtn">
|
| 814 |
+
<span style="font-size:16px;">+</span> New Chat
|
| 815 |
+
</button>
|
| 816 |
+
|
| 817 |
+
<div>
|
| 818 |
+
<div class="section-label">Recent Chats</div>
|
| 819 |
+
<div class="recent-list" id="recentList"></div>
|
| 820 |
+
</div>
|
| 821 |
+
|
| 822 |
+
<div class="upload-wrap">
|
| 823 |
+
<div class="section-label">Upload Document</div>
|
| 824 |
+
<div class="upload-zone" id="uploadZone">
|
| 825 |
+
<input type="file" id="fileInput" accept=".pdf" />
|
| 826 |
+
<span class="upload-zone-icon">📄</span>
|
| 827 |
+
<div class="upload-zone-text" id="uzText">Drop PDF or click to browse</div>
|
| 828 |
+
<div class="upload-zone-hint" id="uzHint">Financial reports, statements, tax docs</div>
|
| 829 |
+
</div>
|
| 830 |
+
|
| 831 |
+
<div class="upload-progress" id="uploadProgress">
|
| 832 |
+
<div class="progress-track"><div class="progress-fill" id="progressFill"></div></div>
|
| 833 |
+
<div class="progress-info">
|
| 834 |
+
<span class="progress-step" id="progressStep"><div class="spinner"></div> Uploading PDF...</span>
|
| 835 |
+
<span class="progress-pct" id="progressPct">0%</span>
|
| 836 |
+
</div>
|
| 837 |
+
</div>
|
| 838 |
+
|
| 839 |
+
<div class="upload-done" id="uploadDone">
|
| 840 |
+
<div class="upload-done-icon">✓</div>
|
| 841 |
+
<div>
|
| 842 |
+
<div class="upload-done-text" id="udText">Document uploaded</div>
|
| 843 |
+
<div class="upload-done-meta" id="udMeta">Ready for queries</div>
|
| 844 |
+
</div>
|
| 845 |
+
</div>
|
| 846 |
+
|
| 847 |
+
<button class="upload-btn" id="uploadBtn">Upload Document</button>
|
| 848 |
+
</div>
|
| 849 |
+
|
| 850 |
+
<div>
|
| 851 |
+
<div class="section-label">Danger Zone</div>
|
| 852 |
+
<button class="reset-btn" id="resetBtn">
|
| 853 |
+
<span>🗑</span> Delete All Documents
|
| 854 |
+
</button>
|
| 855 |
+
</div>
|
| 856 |
+
|
| 857 |
+
<div class="session-box">
|
| 858 |
+
<div class="session-label">
|
| 859 |
+
<span>Session ID</span>
|
| 860 |
+
<button class="copy-mini" id="copyThread">Copy</button>
|
| 861 |
+
</div>
|
| 862 |
+
<div class="session-id" id="threadDisplay"></div>
|
| 863 |
+
<div class="version">FinAI v1.0 · Qwen + RAG</div>
|
| 864 |
+
</div>
|
| 865 |
+
</aside>
|
| 866 |
+
|
| 867 |
+
<div class="sidebar-overlay" id="sidebarOverlay"></div>
|
| 868 |
+
|
| 869 |
+
<!-- Main -->
|
| 870 |
+
<main class="main" id="main">
|
| 871 |
+
<button class="mobile-toggle" id="mobileToggle">☰</button>
|
| 872 |
+
|
| 873 |
+
<header class="chat-header" id="chatHeader" style="display:none;">
|
| 874 |
+
<div class="chat-header-text">Conversation</div>
|
| 875 |
+
</header>
|
| 876 |
+
|
| 877 |
+
<div class="messages" id="messages">
|
| 878 |
+
<div class="empty" id="emptyState">
|
| 879 |
+
<div class="empty-orb">💹</div>
|
| 880 |
+
<div class="empty-title">FinAI</div>
|
| 881 |
+
<div class="empty-desc">
|
| 882 |
+
Your intelligent financial assistant. Upload a document and ask about dividends,
|
| 883 |
+
taxes, retirement accounts, business valuation, or market analysis.
|
| 884 |
+
</div>
|
| 885 |
+
<div class="empty-chips" id="emptyChips">
|
| 886 |
+
<div class="chip" data-q="What are the risks of dividend-yielding stocks?">Dividend risks</div>
|
| 887 |
+
<div class="chip" data-q="15-year vs 30-year mortgage paid in 15 — what's the difference?">Mortgage comparison</div>
|
| 888 |
+
<div class="chip" data-q="How do taxes work for a new LLC business owner?">LLC taxes</div>
|
| 889 |
+
<div class="chip" data-q="Can I have both a 401(k) and a SEP IRA?">Retirement accounts</div>
|
| 890 |
+
<div class="chip" data-q="How to value a small business before investing?">Business valuation</div>
|
| 891 |
+
<div class="chip" data-q="Why do companies have fiscal years different from calendar years?">Fiscal years</div>
|
| 892 |
+
<div class="chip" data-q="What's wrong with taking money from your own business?">Owner withdrawals</div>
|
| 893 |
+
<div class="chip" data-q="Is there a candlestick pattern that guarantees profit?">Trading patterns</div>
|
| 894 |
+
</div>
|
| 895 |
+
</div>
|
| 896 |
+
</div>
|
| 897 |
+
|
| 898 |
+
<div class="input-area">
|
| 899 |
+
<div class="input-box">
|
| 900 |
+
<textarea class="input-field" id="inputField" rows="1" placeholder="Ask a finance question..."></textarea>
|
| 901 |
+
<button class="send-btn" id="sendBtn">
|
| 902 |
+
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2.2" stroke-linecap="round" stroke-linejoin="round">
|
| 903 |
+
<line x1="22" y1="2" x2="11" y2="13"></line>
|
| 904 |
+
<polygon points="22,2 15,22 11,13 2,9 22,2"></polygon>
|
| 905 |
+
</svg>
|
| 906 |
+
</button>
|
| 907 |
+
</div>
|
| 908 |
+
<div class="input-hint">Enter to send · Shift+Enter for new line</div>
|
| 909 |
+
</div>
|
| 910 |
+
|
| 911 |
+
<div class="status-bar">
|
| 912 |
+
<span class="status-pulse" id="statusDot"></span>
|
| 913 |
+
<span id="statusText">Ready</span>
|
| 914 |
+
</div>
|
| 915 |
+
</main>
|
| 916 |
+
</div>
|
| 917 |
+
|
| 918 |
+
<div class="toasts" id="toasts"></div>
|
| 919 |
+
|
| 920 |
+
<script>
|
| 921 |
+
// ================= CONFIG =================
|
| 922 |
+
const API_BASE = "http://127.0.0.1:8000";
|
| 923 |
+
|
| 924 |
+
// ================= STATE =================
|
| 925 |
+
let threadId = localStorage.getItem("finai_tid") || generateId();
|
| 926 |
+
let messages = JSON.parse(localStorage.getItem("finai_msgs") || "[]");
|
| 927 |
+
let isStreaming = false;
|
| 928 |
+
let currentFile = null;
|
| 929 |
+
let streamStart = 0;
|
| 930 |
+
let tokCount = 0;
|
| 931 |
+
|
| 932 |
+
localStorage.setItem("finai_tid", threadId);
|
| 933 |
+
|
| 934 |
+
// ================= DOM =================
|
| 935 |
+
const sidebar = document.getElementById("sidebar");
|
| 936 |
+
const sidebarOverlay = document.getElementById("sidebarOverlay");
|
| 937 |
+
const mobileToggle = document.getElementById("mobileToggle");
|
| 938 |
+
const messagesEl = document.getElementById("messages");
|
| 939 |
+
const emptyState = document.getElementById("emptyState");
|
| 940 |
+
const inputField = document.getElementById("inputField");
|
| 941 |
+
const sendBtn = document.getElementById("sendBtn");
|
| 942 |
+
const uploadZone = document.getElementById("uploadZone");
|
| 943 |
+
const fileInput = document.getElementById("fileInput");
|
| 944 |
+
const uploadBtn = document.getElementById("uploadBtn");
|
| 945 |
+
const uploadProgress = document.getElementById("uploadProgress");
|
| 946 |
+
const progressFill = document.getElementById("progressFill");
|
| 947 |
+
const progressStep = document.getElementById("progressStep");
|
| 948 |
+
const progressPct = document.getElementById("progressPct");
|
| 949 |
+
const uploadDone = document.getElementById("uploadDone");
|
| 950 |
+
const udText = document.getElementById("udText");
|
| 951 |
+
const udMeta = document.getElementById("udMeta");
|
| 952 |
+
const uzText = document.getElementById("uzText");
|
| 953 |
+
const uzHint = document.getElementById("uzHint");
|
| 954 |
+
const resetBtn = document.getElementById("resetBtn");
|
| 955 |
+
const newChatBtn = document.getElementById("newChatBtn");
|
| 956 |
+
const threadDisplay = document.getElementById("threadDisplay");
|
| 957 |
+
const copyThread = document.getElementById("copyThread");
|
| 958 |
+
const toasts = document.getElementById("toasts");
|
| 959 |
+
const chatHeader = document.getElementById("chatHeader");
|
| 960 |
+
const statusDot = document.getElementById("statusDot");
|
| 961 |
+
const statusText = document.getElementById("statusText");
|
| 962 |
+
const recentList = document.getElementById("recentList");
|
| 963 |
+
|
| 964 |
+
threadDisplay.textContent = threadId;
|
| 965 |
+
|
| 966 |
+
// ================= INIT =================
|
| 967 |
+
function generateId() {
|
| 968 |
+
return "xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx".replace(/[xy]/g, c => {
|
| 969 |
+
const r = Math.random() * 16 | 0;
|
| 970 |
+
return (c === "x" ? r : (r & 0x3 | 0x8)).toString(16);
|
| 971 |
+
});
|
| 972 |
+
}
|
| 973 |
+
|
| 974 |
+
function saveMsgs() {
|
| 975 |
+
localStorage.setItem("finai_msgs", JSON.stringify(messages));
|
| 976 |
+
updateRecent();
|
| 977 |
+
}
|
| 978 |
+
|
| 979 |
+
function updateRecent() {
|
| 980 |
+
let chats = JSON.parse(localStorage.getItem("finai_chats") || "[]");
|
| 981 |
+
if (messages.length > 0) {
|
| 982 |
+
const first = messages.find(m => m.role === "user");
|
| 983 |
+
const title = first ? first.content.slice(0, 32) + (first.content.length > 32 ? "..." : "") : "New Chat";
|
| 984 |
+
const idx = chats.findIndex(c => c.id === threadId);
|
| 985 |
+
const entry = { id: threadId, title, time: Date.now() };
|
| 986 |
+
if (idx >= 0) chats[idx] = entry; else chats.unshift(entry);
|
| 987 |
+
chats = chats.slice(0, 15);
|
| 988 |
+
localStorage.setItem("finai_chats", JSON.stringify(chats));
|
| 989 |
+
}
|
| 990 |
+
recentList.innerHTML = "";
|
| 991 |
+
chats.forEach(c => {
|
| 992 |
+
const el = document.createElement("div");
|
| 993 |
+
el.className = `recent-item${c.id === threadId ? " active" : ""}`;
|
| 994 |
+
const d = new Date(c.time);
|
| 995 |
+
const ts = d.toLocaleDateString() === new Date().toLocaleDateString()
|
| 996 |
+
? d.toLocaleTimeString([], {hour:"2-digit", minute:"2-digit"})
|
| 997 |
+
: d.toLocaleDateString([], {month:"short", day:"numeric"});
|
| 998 |
+
el.innerHTML = `<div class="recent-dot"></div><div><div class="recent-title">${esc(c.title)}</div><div class="recent-time">${ts}</div></div>`;
|
| 999 |
+
el.addEventListener("click", () => loadChat(c.id));
|
| 1000 |
+
recentList.appendChild(el);
|
| 1001 |
+
});
|
| 1002 |
+
}
|
| 1003 |
+
|
| 1004 |
+
function loadChat(id) {
|
| 1005 |
+
const data = localStorage.getItem("finai_msgs_" + id);
|
| 1006 |
+
if (!data) { toast("Chat not found", "err"); return; }
|
| 1007 |
+
threadId = id;
|
| 1008 |
+
messages = JSON.parse(data);
|
| 1009 |
+
localStorage.setItem("finai_tid", threadId);
|
| 1010 |
+
threadDisplay.textContent = threadId;
|
| 1011 |
+
renderMsgs();
|
| 1012 |
+
updateRecent();
|
| 1013 |
+
sidebar.classList.remove("open");
|
| 1014 |
+
sidebarOverlay.classList.remove("show");
|
| 1015 |
+
}
|
| 1016 |
+
|
| 1017 |
+
function renderMsgs() {
|
| 1018 |
+
messagesEl.innerHTML = "";
|
| 1019 |
+
if (messages.length === 0) {
|
| 1020 |
+
messagesEl.appendChild(emptyState);
|
| 1021 |
+
chatHeader.style.display = "none";
|
| 1022 |
+
return;
|
| 1023 |
+
}
|
| 1024 |
+
chatHeader.style.display = "flex";
|
| 1025 |
+
messages.forEach(m => appendMsg(m.role, m.content, m.meta, m.perf, false));
|
| 1026 |
+
scrollBottom();
|
| 1027 |
+
}
|
| 1028 |
+
|
| 1029 |
+
// ================= HELPERS =================
|
| 1030 |
+
function toast(msg, type="info") {
|
| 1031 |
+
const el = document.createElement("div");
|
| 1032 |
+
el.className = `toast ${type}`;
|
| 1033 |
+
const icon = type === "ok" ? "✓" : type === "err" ? "✕" : "•";
|
| 1034 |
+
el.innerHTML = `<span style="font-weight:700;font-size:14px;">${icon}</span> ${msg}`;
|
| 1035 |
+
toasts.appendChild(el);
|
| 1036 |
+
setTimeout(() => { el.style.opacity="0"; el.style.transform="translateX(20px)"; setTimeout(()=>el.remove(),300); }, 4000);
|
| 1037 |
+
}
|
| 1038 |
+
|
| 1039 |
+
function setStatus(text, active=false) {
|
| 1040 |
+
statusText.textContent = text;
|
| 1041 |
+
statusDot.classList.toggle("active", active);
|
| 1042 |
+
}
|
| 1043 |
+
|
| 1044 |
+
function scrollBottom() { messagesEl.scrollTop = messagesEl.scrollHeight; }
|
| 1045 |
+
function esc(t) { const d=document.createElement("div"); d.textContent=t; return d.innerHTML; }
|
| 1046 |
+
|
| 1047 |
+
function fmtMd(t) {
|
| 1048 |
+
if (!t) return "";
|
| 1049 |
+
return t
|
| 1050 |
+
.replace(/\*\*(.+?)\*\*/g, "<strong>$1</strong>")
|
| 1051 |
+
.replace(/\*(.+?)\*/g, "<em>$1</em>")
|
| 1052 |
+
.replace(/`([^`]+)`/g, "<code>$1</code>")
|
| 1053 |
+
.replace(/\n/g, "<p></p>");
|
| 1054 |
+
}
|
| 1055 |
+
|
| 1056 |
+
// ================= MESSAGES =================
|
| 1057 |
+
function appendMsg(role, content, meta=null, perf=null, animate=true) {
|
| 1058 |
+
if (messages.length === 0 && emptyState.parentNode) {
|
| 1059 |
+
emptyState.remove();
|
| 1060 |
+
chatHeader.style.display = "flex";
|
| 1061 |
+
}
|
| 1062 |
+
const msg = document.createElement("div");
|
| 1063 |
+
msg.className = `msg${animate?" fade-in":""}`;
|
| 1064 |
+
|
| 1065 |
+
const av = document.createElement("div");
|
| 1066 |
+
av.className = `msg-avatar ${role}`;
|
| 1067 |
+
av.textContent = role === "user" ? "👤" : "🤖";
|
| 1068 |
+
|
| 1069 |
+
const body = document.createElement("div");
|
| 1070 |
+
body.className = "msg-body";
|
| 1071 |
+
|
| 1072 |
+
const head = document.createElement("div");
|
| 1073 |
+
head.className = "msg-head";
|
| 1074 |
+
const tm = new Date().toLocaleTimeString([], {hour:"2-digit", minute:"2-digit"});
|
| 1075 |
+
head.innerHTML = `<span class="msg-name">${role==="user"?"You":"FinAI"}</span><span class="msg-time">${tm}</span>`;
|
| 1076 |
+
body.appendChild(head);
|
| 1077 |
+
|
| 1078 |
+
const bubble = document.createElement("div");
|
| 1079 |
+
bubble.className = "msg-text";
|
| 1080 |
+
bubble.innerHTML = fmtMd(content);
|
| 1081 |
+
body.appendChild(bubble);
|
| 1082 |
+
|
| 1083 |
+
if (perf && role === "assistant") {
|
| 1084 |
+
const p = document.createElement("div");
|
| 1085 |
+
p.className = "perf";
|
| 1086 |
+
p.innerHTML = `
|
| 1087 |
+
<div class="perf-item"><span class="perf-dot"></span>${perf.tokens} tokens</div>
|
| 1088 |
+
<div class="perf-item">${perf.tps.toFixed(1)} tok/s</div>
|
| 1089 |
+
<div class="perf-item">${perf.latency.toFixed(2)}s</div>
|
| 1090 |
+
`;
|
| 1091 |
+
body.appendChild(p);
|
| 1092 |
+
}
|
| 1093 |
+
|
| 1094 |
+
if (meta && role === "assistant") {
|
| 1095 |
+
body.appendChild(makeRag(meta));
|
| 1096 |
+
}
|
| 1097 |
+
|
| 1098 |
+
msg.appendChild(av);
|
| 1099 |
+
msg.appendChild(body);
|
| 1100 |
+
messagesEl.appendChild(msg);
|
| 1101 |
+
scrollBottom();
|
| 1102 |
+
return msg;
|
| 1103 |
+
}
|
| 1104 |
+
|
| 1105 |
+
function makeRag(meta) {
|
| 1106 |
+
const card = document.createElement("div");
|
| 1107 |
+
card.className = "rag";
|
| 1108 |
+
const used = meta.used_rag;
|
| 1109 |
+
const sources = meta.sources || [];
|
| 1110 |
+
|
| 1111 |
+
const toggle = document.createElement("div");
|
| 1112 |
+
toggle.className = "rag-toggle";
|
| 1113 |
+
const bCls = used ? "rag-active" : "rag-direct";
|
| 1114 |
+
const bTxt = used ? `📄 RAG · ${sources.length} source${sources.length!==1?"s":""}` : "🧠 Direct";
|
| 1115 |
+
toggle.innerHTML = `<span class="rag-badge ${bCls}">${bTxt}</span><span class="rag-arrow">▼</span>`;
|
| 1116 |
+
|
| 1117 |
+
const body = document.createElement("div");
|
| 1118 |
+
body.className = "rag-body";
|
| 1119 |
+
|
| 1120 |
+
if (used && sources.length) {
|
| 1121 |
+
sources.forEach((s,i) => {
|
| 1122 |
+
const row = document.createElement("div");
|
| 1123 |
+
row.className = "source";
|
| 1124 |
+
row.style.animationDelay = `${i*0.06}s`;
|
| 1125 |
+
row.innerHTML = `
|
| 1126 |
+
<div class="source-icon">📄</div>
|
| 1127 |
+
<div class="source-info">
|
| 1128 |
+
<div class="source-name">${esc(s.document||"Unknown")}</div>
|
| 1129 |
+
<div class="source-meta">Page ${s.page||"?"}${s.chunk_index!==undefined?` · Chunk ${s.chunk_index}`:""}</div>
|
| 1130 |
+
</div>
|
| 1131 |
+
<div class="source-score">${(s.score||0.95).toFixed(3)}</div>
|
| 1132 |
+
`;
|
| 1133 |
+
body.appendChild(row);
|
| 1134 |
+
});
|
| 1135 |
+
} else if (!used) {
|
| 1136 |
+
const info = document.createElement("div");
|
| 1137 |
+
info.style.cssText = "font-size:11px;color:var(--text-dim);padding:4px 0;";
|
| 1138 |
+
info.textContent = "Generated from fine-tuned Qwen model knowledge without document retrieval.";
|
| 1139 |
+
body.appendChild(info);
|
| 1140 |
+
}
|
| 1141 |
+
|
| 1142 |
+
const foot = document.createElement("div");
|
| 1143 |
+
foot.className = "rag-footer";
|
| 1144 |
+
foot.innerHTML = `<span>Thread: ${meta.thread_id||threadId}</span><span>${new Date().toLocaleTimeString()}</span>`;
|
| 1145 |
+
body.appendChild(foot);
|
| 1146 |
+
|
| 1147 |
+
toggle.addEventListener("click", () => {
|
| 1148 |
+
const open = body.classList.contains("open");
|
| 1149 |
+
body.classList.toggle("open");
|
| 1150 |
+
toggle.classList.toggle("open");
|
| 1151 |
+
toggle.querySelector(".rag-arrow").textContent = open ? "▼" : "▲";
|
| 1152 |
+
});
|
| 1153 |
+
|
| 1154 |
+
card.appendChild(toggle);
|
| 1155 |
+
card.appendChild(body);
|
| 1156 |
+
return card;
|
| 1157 |
+
}
|
| 1158 |
+
|
| 1159 |
+
// ================= CHAT =================
|
| 1160 |
+
async function sendMsg() {
|
| 1161 |
+
const text = inputField.value.trim();
|
| 1162 |
+
if (!text || isStreaming) return;
|
| 1163 |
+
|
| 1164 |
+
inputField.value = "";
|
| 1165 |
+
inputField.style.height = "auto";
|
| 1166 |
+
isStreaming = true;
|
| 1167 |
+
sendBtn.disabled = true;
|
| 1168 |
+
streamStart = performance.now();
|
| 1169 |
+
tokCount = 0;
|
| 1170 |
+
setStatus("Generating...", true);
|
| 1171 |
+
|
| 1172 |
+
messages.push({role:"user", content:text});
|
| 1173 |
+
saveMsgs();
|
| 1174 |
+
appendMsg("user", text);
|
| 1175 |
+
|
| 1176 |
+
const asst = {role:"assistant", content:"", meta:null, perf:null};
|
| 1177 |
+
messages.push(asst);
|
| 1178 |
+
const msgDiv = appendMsg("assistant", "", null, null);
|
| 1179 |
+
const bubble = msgDiv.querySelector(".msg-text");
|
| 1180 |
+
bubble.innerHTML = `<div class="typing"><span></span><span></span><span></span></div>`;
|
| 1181 |
+
|
| 1182 |
+
try {
|
| 1183 |
+
const res = await fetch(`${API_BASE}/chat/stream`, {
|
| 1184 |
+
method: "POST",
|
| 1185 |
+
headers: {"Content-Type":"application/json"},
|
| 1186 |
+
body: JSON.stringify({message:text, thread_id:threadId})
|
| 1187 |
+
});
|
| 1188 |
+
if (!res.ok) throw new Error(`HTTP ${res.status}: ${await res.text()}`);
|
| 1189 |
+
|
| 1190 |
+
const reader = res.body.getReader();
|
| 1191 |
+
const decoder = new TextDecoder();
|
| 1192 |
+
let buf = "", full = "", meta = null;
|
| 1193 |
+
|
| 1194 |
+
while (true) {
|
| 1195 |
+
const {done, value} = await reader.read();
|
| 1196 |
+
if (done) break;
|
| 1197 |
+
buf += decoder.decode(value, {stream:true});
|
| 1198 |
+
const lines = buf.split("\n");
|
| 1199 |
+
buf = lines.pop();
|
| 1200 |
+
for (const line of lines) {
|
| 1201 |
+
if (!line.trim()) continue;
|
| 1202 |
+
const clean = line.replace(/^data: /,"").trim();
|
| 1203 |
+
if (!clean) continue;
|
| 1204 |
+
try {
|
| 1205 |
+
const ev = JSON.parse(clean);
|
| 1206 |
+
if (ev.type === "token") {
|
| 1207 |
+
if (full === "") bubble.innerHTML = "";
|
| 1208 |
+
full += ev.content;
|
| 1209 |
+
tokCount++;
|
| 1210 |
+
const elapsed = (performance.now()-streamStart)/1000;
|
| 1211 |
+
const tps = elapsed>0 ? tokCount/elapsed : 0;
|
| 1212 |
+
setStatus(`${tokCount} tokens · ${tps.toFixed(1)} tok/s`, true);
|
| 1213 |
+
bubble.innerHTML = fmtMd(full) + '<span class="stream-cursor"></span>';
|
| 1214 |
+
scrollBottom();
|
| 1215 |
+
} else if (ev.type === "metadata") {
|
| 1216 |
+
meta = ev;
|
| 1217 |
+
} else if (ev.type === "done") {
|
| 1218 |
+
break;
|
| 1219 |
+
} else if (ev.type === "error") {
|
| 1220 |
+
throw new Error(ev.message);
|
| 1221 |
+
}
|
| 1222 |
+
} catch(e) {}
|
| 1223 |
+
}
|
| 1224 |
+
}
|
| 1225 |
+
|
| 1226 |
+
const total = (performance.now()-streamStart)/1000;
|
| 1227 |
+
const tps = total>0 ? tokCount/total : 0;
|
| 1228 |
+
bubble.innerHTML = fmtMd(full);
|
| 1229 |
+
asst.content = full;
|
| 1230 |
+
asst.meta = meta;
|
| 1231 |
+
asst.perf = {tokens:tokCount, tps, latency:total};
|
| 1232 |
+
saveMsgs();
|
| 1233 |
+
localStorage.setItem("finai_msgs_"+threadId, JSON.stringify(messages));
|
| 1234 |
+
|
| 1235 |
+
if (meta) {
|
| 1236 |
+
const rag = makeRag(meta);
|
| 1237 |
+
const body = msgDiv.querySelector(".msg-body");
|
| 1238 |
+
const perfEl = body.querySelector(".perf");
|
| 1239 |
+
body.insertBefore(rag, perfEl?.nextSibling || null);
|
| 1240 |
+
}
|
| 1241 |
+
setStatus("Ready", false);
|
| 1242 |
+
|
| 1243 |
+
} catch(err) {
|
| 1244 |
+
bubble.innerHTML = `<span style="color:#ef4444">Error: ${esc(err.message)}</span>`;
|
| 1245 |
+
asst.content = `Error: ${err.message}`;
|
| 1246 |
+
saveMsgs();
|
| 1247 |
+
toast(err.message, "err");
|
| 1248 |
+
setStatus("Error", false);
|
| 1249 |
+
} finally {
|
| 1250 |
+
isStreaming = false;
|
| 1251 |
+
sendBtn.disabled = false;
|
| 1252 |
+
inputField.focus();
|
| 1253 |
+
}
|
| 1254 |
+
}
|
| 1255 |
+
|
| 1256 |
+
// ================= UPLOAD =================
|
| 1257 |
+
uploadZone.addEventListener("click", () => fileInput.click());
|
| 1258 |
+
uploadZone.addEventListener("dragover", e => { e.preventDefault(); uploadZone.classList.add("dragover"); });
|
| 1259 |
+
uploadZone.addEventListener("dragleave", () => uploadZone.classList.remove("dragover"));
|
| 1260 |
+
uploadZone.addEventListener("drop", e => {
|
| 1261 |
+
e.preventDefault();
|
| 1262 |
+
uploadZone.classList.remove("dragover");
|
| 1263 |
+
if (e.dataTransfer.files.length) handleFile(e.dataTransfer.files[0]);
|
| 1264 |
+
});
|
| 1265 |
+
fileInput.addEventListener("change", () => { if (fileInput.files.length) handleFile(fileInput.files[0]); });
|
| 1266 |
+
|
| 1267 |
+
function handleFile(file) {
|
| 1268 |
+
if (file.type !== "application/pdf" && !file.name.endsWith(".pdf")) {
|
| 1269 |
+
toast("Only PDF files are supported", "err");
|
| 1270 |
+
return;
|
| 1271 |
+
}
|
| 1272 |
+
currentFile = file;
|
| 1273 |
+
uzText.textContent = file.name;
|
| 1274 |
+
uzHint.textContent = `${(file.size/1024).toFixed(1)} KB · Click Upload to index`;
|
| 1275 |
+
uploadZone.style.borderColor = "var(--border-hover)";
|
| 1276 |
+
uploadDone.classList.remove("show");
|
| 1277 |
+
}
|
| 1278 |
+
|
| 1279 |
+
uploadBtn.addEventListener("click", async () => {
|
| 1280 |
+
if (!currentFile) { toast("Select a PDF file first", "info"); return; }
|
| 1281 |
+
|
| 1282 |
+
uploadProgress.classList.add("show");
|
| 1283 |
+
uploadDone.classList.remove("show");
|
| 1284 |
+
uploadBtn.disabled = true;
|
| 1285 |
+
|
| 1286 |
+
const steps = [
|
| 1287 |
+
{text:"Uploading PDF...", pct:"15%"},
|
| 1288 |
+
{text:"Extracting text...", pct:"30%"},
|
| 1289 |
+
{text:"Splitting into chunks...", pct:"50%"},
|
| 1290 |
+
{text:"Creating embeddings...", pct:"70%"},
|
| 1291 |
+
{text:"Storing in vector DB...", pct:"90%"},
|
| 1292 |
+
{text:"Finalizing...", pct:"98%"}
|
| 1293 |
+
];
|
| 1294 |
+
|
| 1295 |
+
let idx = 0;
|
| 1296 |
+
const interval = setInterval(() => {
|
| 1297 |
+
if (idx < steps.length) {
|
| 1298 |
+
progressStep.innerHTML = `<div class="spinner"></div> ${steps[idx].text}`;
|
| 1299 |
+
progressPct.textContent = steps[idx].pct;
|
| 1300 |
+
progressFill.style.width = steps[idx].pct;
|
| 1301 |
+
idx++;
|
| 1302 |
+
}
|
| 1303 |
+
}, 500);
|
| 1304 |
+
|
| 1305 |
+
const formData = new FormData();
|
| 1306 |
+
formData.append("file", currentFile);
|
| 1307 |
+
|
| 1308 |
+
try {
|
| 1309 |
+
const res = await fetch(`${API_BASE}/upload`, {method:"POST", body:formData});
|
| 1310 |
+
const data = await res.json();
|
| 1311 |
+
clearInterval(interval);
|
| 1312 |
+
|
| 1313 |
+
if (res.ok) {
|
| 1314 |
+
progressFill.style.width = "100%";
|
| 1315 |
+
progressStep.innerHTML = `<div class="spinner"></div> Done!`;
|
| 1316 |
+
progressPct.textContent = "100%";
|
| 1317 |
+
|
| 1318 |
+
setTimeout(() => {
|
| 1319 |
+
uploadProgress.classList.remove("show");
|
| 1320 |
+
udText.textContent = `Uploaded: ${data.filename || currentFile.name}`;
|
| 1321 |
+
udMeta.textContent = `${data.chunks || "?"} chunks indexed · Ready for queries`;
|
| 1322 |
+
uploadDone.classList.add("show");
|
| 1323 |
+
toast(`"${currentFile.name}" indexed successfully`, "ok");
|
| 1324 |
+
|
| 1325 |
+
currentFile = null;
|
| 1326 |
+
uzText.textContent = "Drop PDF or click to browse";
|
| 1327 |
+
uzHint.textContent = "Financial reports, statements, tax docs";
|
| 1328 |
+
uploadZone.style.borderColor = "";
|
| 1329 |
+
fileInput.value = "";
|
| 1330 |
+
uploadBtn.disabled = false;
|
| 1331 |
+
}, 600);
|
| 1332 |
+
} else {
|
| 1333 |
+
throw new Error(data.detail || data.message || "Upload failed");
|
| 1334 |
+
}
|
| 1335 |
+
} catch(err) {
|
| 1336 |
+
clearInterval(interval);
|
| 1337 |
+
uploadProgress.classList.remove("show");
|
| 1338 |
+
progressFill.style.width = "0%";
|
| 1339 |
+
toast(err.message, "err");
|
| 1340 |
+
uploadBtn.disabled = false;
|
| 1341 |
+
}
|
| 1342 |
+
});
|
| 1343 |
+
|
| 1344 |
+
// ================= RESET =================
|
| 1345 |
+
resetBtn.addEventListener("click", async () => {
|
| 1346 |
+
if (!confirm("Delete all uploaded documents? This cannot be undone.")) return;
|
| 1347 |
+
try {
|
| 1348 |
+
const res = await fetch(`${API_BASE}/reset`, {method:"DELETE"});
|
| 1349 |
+
if (res.ok) { toast("All documents deleted", "ok"); uploadDone.classList.remove("show"); }
|
| 1350 |
+
else throw new Error("Failed");
|
| 1351 |
+
} catch(err) { toast(err.message, "err"); }
|
| 1352 |
+
});
|
| 1353 |
+
|
| 1354 |
+
// ================= NEW CHAT =================
|
| 1355 |
+
newChatBtn.addEventListener("click", () => {
|
| 1356 |
+
if (messages.length > 0) {
|
| 1357 |
+
localStorage.setItem("finai_msgs_"+threadId, JSON.stringify(messages));
|
| 1358 |
+
}
|
| 1359 |
+
messages = [];
|
| 1360 |
+
threadId = generateId();
|
| 1361 |
+
localStorage.setItem("finai_tid", threadId);
|
| 1362 |
+
localStorage.removeItem("finai_msgs");
|
| 1363 |
+
threadDisplay.textContent = threadId;
|
| 1364 |
+
messagesEl.innerHTML = "";
|
| 1365 |
+
messagesEl.appendChild(emptyState);
|
| 1366 |
+
chatHeader.style.display = "none";
|
| 1367 |
+
updateRecent();
|
| 1368 |
+
toast("New chat started", "info");
|
| 1369 |
+
});
|
| 1370 |
+
|
| 1371 |
+
// ================= COPY =================
|
| 1372 |
+
copyThread.addEventListener("click", () => {
|
| 1373 |
+
navigator.clipboard.writeText(threadId).then(() => {
|
| 1374 |
+
copyThread.textContent = "Copied!";
|
| 1375 |
+
setTimeout(() => copyThread.textContent = "Copy", 1200);
|
| 1376 |
+
});
|
| 1377 |
+
});
|
| 1378 |
+
|
| 1379 |
+
// ================= INPUT =================
|
| 1380 |
+
inputField.addEventListener("input", () => {
|
| 1381 |
+
inputField.style.height = "auto";
|
| 1382 |
+
inputField.style.height = Math.min(inputField.scrollHeight, 160) + "px";
|
| 1383 |
+
});
|
| 1384 |
+
|
| 1385 |
+
inputField.addEventListener("keydown", e => {
|
| 1386 |
+
if (e.key === "Enter" && !e.shiftKey) { e.preventDefault(); sendMsg(); }
|
| 1387 |
+
});
|
| 1388 |
+
|
| 1389 |
+
sendBtn.addEventListener("click", sendMsg);
|
| 1390 |
+
|
| 1391 |
+
// ================= CHIPS =================
|
| 1392 |
+
document.getElementById("emptyChips").addEventListener("click", e => {
|
| 1393 |
+
const chip = e.target.closest(".chip");
|
| 1394 |
+
if (chip) {
|
| 1395 |
+
inputField.value = chip.dataset.q;
|
| 1396 |
+
inputField.focus();
|
| 1397 |
+
inputField.style.height = "auto";
|
| 1398 |
+
inputField.style.height = Math.min(inputField.scrollHeight, 160) + "px";
|
| 1399 |
+
}
|
| 1400 |
+
});
|
| 1401 |
+
|
| 1402 |
+
// ================= MOBILE =================
|
| 1403 |
+
mobileToggle.addEventListener("click", () => {
|
| 1404 |
+
sidebar.classList.toggle("open");
|
| 1405 |
+
sidebarOverlay.classList.toggle("show");
|
| 1406 |
+
});
|
| 1407 |
+
|
| 1408 |
+
sidebarOverlay.addEventListener("click", () => {
|
| 1409 |
+
sidebar.classList.remove("open");
|
| 1410 |
+
sidebarOverlay.classList.remove("show");
|
| 1411 |
+
});
|
| 1412 |
+
|
| 1413 |
+
// ================= BOOT =================
|
| 1414 |
+
updateRecent();
|
| 1415 |
+
if (messages.length > 0) renderMsgs();
|
| 1416 |
+
</script>
|
| 1417 |
+
</body>
|
| 1418 |
+
</html>
|
requirements.txt
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#llama-cpp-python
|
| 2 |
+
uvicorn
|
| 3 |
+
fastapi
|
| 4 |
+
pydantic
|
| 5 |
+
langchain
|
| 6 |
+
langgraph
|
| 7 |
+
langchain-community
|
| 8 |
+
langchain-core
|
| 9 |
+
python-multipart
|
| 10 |
+
langchain-huggingface
|
| 11 |
+
huggingface_hub
|
| 12 |
+
rank-bm25
|
| 13 |
+
sentence-transformers
|
| 14 |
+
pypdf
|
| 15 |
+
pinecone-client
|
| 16 |
+
pinecone
|
| 17 |
+
langchain-pinecone
|
| 18 |
+
python-dotenv
|
scripts/__pycache__/load_llm.cpython-311.pyc
ADDED
|
Binary file (1.91 kB). View file
|
|
|
scripts/__pycache__/main.cpython-311.pyc
ADDED
|
Binary file (6.21 kB). View file
|
|
|
scripts/__pycache__/rag.cpython-311.pyc
ADDED
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Binary file (9.61 kB). View file
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scripts/load_llm.py
ADDED
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@@ -0,0 +1,42 @@
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| 1 |
+
# file: model_loader.py
|
| 2 |
+
from langchain_community.chat_models import ChatLlamaCpp
|
| 3 |
+
from huggingface_hub import hf_hub_download
|
| 4 |
+
from langchain_core.callbacks import StreamingStdOutCallbackHandler
|
| 5 |
+
import logging
|
| 6 |
+
import os
|
| 7 |
+
|
| 8 |
+
logging.basicConfig(level=logging.INFO)
|
| 9 |
+
logger = logging.getLogger(__name__)
|
| 10 |
+
|
| 11 |
+
_llm_instance = None
|
| 12 |
+
|
| 13 |
+
def get_model():
|
| 14 |
+
try:
|
| 15 |
+
global _llm_instance
|
| 16 |
+
|
| 17 |
+
if _llm_instance is None:
|
| 18 |
+
model_path = hf_hub_download(
|
| 19 |
+
repo_id="junaid17/qwen2.5-finance-assistant-gguf",
|
| 20 |
+
filename="qwen2.5-finance-assistant-q4_k_m.gguf",
|
| 21 |
+
)
|
| 22 |
+
|
| 23 |
+
logger.info(f"Loading model from: {model_path}")
|
| 24 |
+
|
| 25 |
+
_llm_instance = ChatLlamaCpp(
|
| 26 |
+
model_path=model_path,
|
| 27 |
+
temperature=0.5,
|
| 28 |
+
max_tokens=2048,
|
| 29 |
+
n_ctx=4096,
|
| 30 |
+
n_batch=512,
|
| 31 |
+
n_threads=max(4, os.cpu_count() // 2),
|
| 32 |
+
n_gpu_layers=0,
|
| 33 |
+
verbose=False,
|
| 34 |
+
streaming=True,
|
| 35 |
+
callbacks=[StreamingStdOutCallbackHandler()]
|
| 36 |
+
)
|
| 37 |
+
|
| 38 |
+
logger.info("Model loaded successfully!")
|
| 39 |
+
except Exception as e:
|
| 40 |
+
logger.exception(f"Error while loading the model, {str(e)}")
|
| 41 |
+
|
| 42 |
+
return _llm_instance
|
scripts/main.py
ADDED
|
@@ -0,0 +1,183 @@
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| 1 |
+
from langgraph.graph import StateGraph, START, END
|
| 2 |
+
from typing import TypedDict, Annotated
|
| 3 |
+
from scripts.rag import RagPipeline
|
| 4 |
+
from scripts.load_llm import get_model
|
| 5 |
+
from langchain_openai import OpenAIEmbeddings, ChatOpenAI
|
| 6 |
+
from langchain_core.messages import BaseMessage, HumanMessage, SystemMessage
|
| 7 |
+
from langgraph.graph.message import add_messages
|
| 8 |
+
from langgraph.checkpoint.memory import MemorySaver
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
# Initialized Rag and llm
|
| 12 |
+
RAG = None
|
| 13 |
+
llm = get_model()
|
| 14 |
+
|
| 15 |
+
def set_rag_instance(rag_instance):
|
| 16 |
+
global RAG
|
| 17 |
+
RAG = rag_instance
|
| 18 |
+
|
| 19 |
+
# Initializing ChatState
|
| 20 |
+
class ChatState(TypedDict):
|
| 21 |
+
query: str
|
| 22 |
+
retrieved_docs: list
|
| 23 |
+
context: str
|
| 24 |
+
use_rag: bool
|
| 25 |
+
final_prompt: str
|
| 26 |
+
sources: list
|
| 27 |
+
|
| 28 |
+
|
| 29 |
+
# Making Nodes
|
| 30 |
+
|
| 31 |
+
def retrieve_node(state):
|
| 32 |
+
query = state["query"]
|
| 33 |
+
|
| 34 |
+
docs = RAG.hybrid_retrieve(query=query, dense_k=3, top_k=3)
|
| 35 |
+
|
| 36 |
+
return {"retrieved_docs": docs}
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
def relevance_node(state):
|
| 40 |
+
docs = state["retrieved_docs"]
|
| 41 |
+
|
| 42 |
+
use_rag = False
|
| 43 |
+
|
| 44 |
+
if docs:
|
| 45 |
+
meaningful_docs = [
|
| 46 |
+
d for d in docs
|
| 47 |
+
if len(d.page_content.strip()) > 50
|
| 48 |
+
]
|
| 49 |
+
|
| 50 |
+
use_rag = len(meaningful_docs) > 0
|
| 51 |
+
|
| 52 |
+
return {"use_rag": use_rag}
|
| 53 |
+
|
| 54 |
+
|
| 55 |
+
def build_context_node(state):
|
| 56 |
+
docs = state["retrieved_docs"]
|
| 57 |
+
|
| 58 |
+
context = ""
|
| 59 |
+
sources = []
|
| 60 |
+
|
| 61 |
+
for doc in docs:
|
| 62 |
+
source = doc.metadata.get("source", "unknown")
|
| 63 |
+
page = doc.metadata.get("page", "unknown")
|
| 64 |
+
|
| 65 |
+
sources.append({
|
| 66 |
+
"document": source,
|
| 67 |
+
"page": page
|
| 68 |
+
})
|
| 69 |
+
|
| 70 |
+
context += f"""
|
| 71 |
+
SOURCE: {source}
|
| 72 |
+
PAGE: {page}
|
| 73 |
+
|
| 74 |
+
CONTENT:
|
| 75 |
+
{doc.page_content}
|
| 76 |
+
"""
|
| 77 |
+
|
| 78 |
+
return {
|
| 79 |
+
"context": context,
|
| 80 |
+
"sources": sources
|
| 81 |
+
}
|
| 82 |
+
|
| 83 |
+
|
| 84 |
+
def rag_prompt_node(state):
|
| 85 |
+
query = state["query"]
|
| 86 |
+
context = state["context"]
|
| 87 |
+
|
| 88 |
+
prompt = f"""
|
| 89 |
+
You are a financial intelligence assistant.
|
| 90 |
+
|
| 91 |
+
Use ONLY the provided context.
|
| 92 |
+
|
| 93 |
+
If context is insufficient, say so.
|
| 94 |
+
|
| 95 |
+
Context:
|
| 96 |
+
{context}
|
| 97 |
+
|
| 98 |
+
Question:
|
| 99 |
+
{query}
|
| 100 |
+
"""
|
| 101 |
+
|
| 102 |
+
return {
|
| 103 |
+
"final_prompt": prompt
|
| 104 |
+
}
|
| 105 |
+
|
| 106 |
+
def direct_prompt_node(state):
|
| 107 |
+
query = state["query"]
|
| 108 |
+
|
| 109 |
+
prompt = f"""
|
| 110 |
+
You are a financial intelligence assistant.
|
| 111 |
+
your job is to answer the user's question to the best of your ability.
|
| 112 |
+
|
| 113 |
+
Question:
|
| 114 |
+
{query}
|
| 115 |
+
"""
|
| 116 |
+
|
| 117 |
+
return {
|
| 118 |
+
"final_prompt": prompt,
|
| 119 |
+
"sources": []
|
| 120 |
+
}
|
| 121 |
+
|
| 122 |
+
def route_decision(state):
|
| 123 |
+
if state["use_rag"]:
|
| 124 |
+
return "build_context"
|
| 125 |
+
|
| 126 |
+
return "direct_prompt"
|
| 127 |
+
|
| 128 |
+
|
| 129 |
+
|
| 130 |
+
memory = MemorySaver()
|
| 131 |
+
workflow = StateGraph(ChatState)
|
| 132 |
+
|
| 133 |
+
workflow.add_node("retrieve", retrieve_node)
|
| 134 |
+
workflow.add_node("relevance", relevance_node)
|
| 135 |
+
workflow.add_node("build_context", build_context_node)
|
| 136 |
+
workflow.add_node("rag_prompt", rag_prompt_node)
|
| 137 |
+
workflow.add_node("direct_prompt", direct_prompt_node)
|
| 138 |
+
|
| 139 |
+
workflow.set_entry_point("retrieve")
|
| 140 |
+
|
| 141 |
+
workflow.add_edge("retrieve", "relevance")
|
| 142 |
+
|
| 143 |
+
workflow.add_conditional_edges(
|
| 144 |
+
"relevance",
|
| 145 |
+
route_decision,
|
| 146 |
+
{
|
| 147 |
+
"build_context": "build_context",
|
| 148 |
+
"direct_prompt": "direct_prompt"
|
| 149 |
+
}
|
| 150 |
+
)
|
| 151 |
+
|
| 152 |
+
workflow.add_edge("build_context", "rag_prompt")
|
| 153 |
+
workflow.add_edge("rag_prompt", END)
|
| 154 |
+
workflow.add_edge("direct_prompt", END)
|
| 155 |
+
|
| 156 |
+
graph_app = workflow.compile(checkpointer=memory)
|
| 157 |
+
|
| 158 |
+
def stream_chat_response(user_message: str, thread_id: str):
|
| 159 |
+
config = {
|
| 160 |
+
"configurable": {
|
| 161 |
+
"thread_id": thread_id
|
| 162 |
+
}
|
| 163 |
+
}
|
| 164 |
+
|
| 165 |
+
state = graph_app.invoke(
|
| 166 |
+
{"query": user_message},
|
| 167 |
+
config=config
|
| 168 |
+
)
|
| 169 |
+
|
| 170 |
+
metadata = {
|
| 171 |
+
"used_rag": state["use_rag"],
|
| 172 |
+
"sources": state["sources"],
|
| 173 |
+
"thread_id": thread_id
|
| 174 |
+
}
|
| 175 |
+
|
| 176 |
+
for chunk in llm.stream(
|
| 177 |
+
[HumanMessage(content=state["final_prompt"])]
|
| 178 |
+
):
|
| 179 |
+
if chunk.content:
|
| 180 |
+
yield {
|
| 181 |
+
"token": chunk.content,
|
| 182 |
+
"metadata": metadata
|
| 183 |
+
}
|
scripts/rag.py
ADDED
|
@@ -0,0 +1,188 @@
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|
| 1 |
+
import os
|
| 2 |
+
import logging
|
| 3 |
+
from pinecone import Pinecone, ServerlessSpec
|
| 4 |
+
from dotenv import load_dotenv
|
| 5 |
+
from langchain_huggingface import HuggingFaceEmbeddings
|
| 6 |
+
from langchain_pinecone import PineconeVectorStore
|
| 7 |
+
from langchain_community.retrievers import BM25Retriever
|
| 8 |
+
from langchain_community.document_loaders import PyPDFLoader
|
| 9 |
+
from langchain_text_splitters import RecursiveCharacterTextSplitter
|
| 10 |
+
|
| 11 |
+
load_dotenv()
|
| 12 |
+
|
| 13 |
+
logging.basicConfig(level=logging.INFO)
|
| 14 |
+
logger = logging.getLogger(__name__)
|
| 15 |
+
|
| 16 |
+
INDEX_NAME = "finance-rag"
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
class RagPipeline:
|
| 20 |
+
|
| 21 |
+
def __init__(self, index_name=INDEX_NAME, embedding_model="BAAI/bge-base-en-v1.5"):
|
| 22 |
+
api_key = os.getenv("PINECONE_API_KEY")
|
| 23 |
+
|
| 24 |
+
if not api_key:
|
| 25 |
+
raise ValueError("PINECONE_API_KEY not found in environment variables.")
|
| 26 |
+
|
| 27 |
+
self.pc = Pinecone(api_key=api_key)
|
| 28 |
+
self.index_name = index_name
|
| 29 |
+
self.bm25_retriever = None
|
| 30 |
+
self.cached_docs = [] # FIX
|
| 31 |
+
|
| 32 |
+
self._ensure_index()
|
| 33 |
+
|
| 34 |
+
logger.info("Loading embedding model...")
|
| 35 |
+
self.embeddings = HuggingFaceEmbeddings(model_name=embedding_model)
|
| 36 |
+
logger.info("Embedding model loaded successfully.")
|
| 37 |
+
|
| 38 |
+
def _ensure_index(self):
|
| 39 |
+
existing_indexes = self.pc.list_indexes().names()
|
| 40 |
+
|
| 41 |
+
if self.index_name not in existing_indexes:
|
| 42 |
+
logger.info(f"Creating Pinecone index: {self.index_name}")
|
| 43 |
+
|
| 44 |
+
self.pc.create_index(
|
| 45 |
+
name=self.index_name,
|
| 46 |
+
dimension=768,
|
| 47 |
+
metric="cosine",
|
| 48 |
+
spec=ServerlessSpec(
|
| 49 |
+
cloud="aws",
|
| 50 |
+
region="us-east-1"
|
| 51 |
+
)
|
| 52 |
+
)
|
| 53 |
+
|
| 54 |
+
logger.info("Pinecone index created successfully.")
|
| 55 |
+
|
| 56 |
+
else:
|
| 57 |
+
logger.info(f"Pinecone index '{self.index_name}' already exists.")
|
| 58 |
+
|
| 59 |
+
def vector_store(self):
|
| 60 |
+
return PineconeVectorStore(
|
| 61 |
+
index=self.pc.Index(self.index_name),
|
| 62 |
+
embedding=self.embeddings
|
| 63 |
+
)
|
| 64 |
+
|
| 65 |
+
def load_docs(self, pdf_path: str):
|
| 66 |
+
try:
|
| 67 |
+
logger.info(f"Loading PDF: {pdf_path}")
|
| 68 |
+
|
| 69 |
+
loader = PyPDFLoader(pdf_path)
|
| 70 |
+
documents = loader.load()
|
| 71 |
+
|
| 72 |
+
logger.info(f"Loaded {len(documents)} pages.")
|
| 73 |
+
|
| 74 |
+
return documents
|
| 75 |
+
|
| 76 |
+
except Exception as e:
|
| 77 |
+
logger.exception("Error loading PDF.")
|
| 78 |
+
raise e
|
| 79 |
+
|
| 80 |
+
def split_docs(self, docs, chunk_size=1000, chunk_overlap=250):
|
| 81 |
+
try:
|
| 82 |
+
logger.info("Splitting documents into chunks...")
|
| 83 |
+
|
| 84 |
+
splitter = RecursiveCharacterTextSplitter(
|
| 85 |
+
chunk_size=chunk_size,
|
| 86 |
+
chunk_overlap=chunk_overlap
|
| 87 |
+
)
|
| 88 |
+
|
| 89 |
+
split_documents = splitter.split_documents(docs)
|
| 90 |
+
|
| 91 |
+
self.cached_docs = split_documents # FIX
|
| 92 |
+
|
| 93 |
+
logger.info(f"Generated {len(split_documents)} chunks.")
|
| 94 |
+
|
| 95 |
+
return split_documents
|
| 96 |
+
|
| 97 |
+
except Exception:
|
| 98 |
+
logger.exception("Error splitting documents.")
|
| 99 |
+
return None
|
| 100 |
+
|
| 101 |
+
def add_docs(self, split_docs):
|
| 102 |
+
try:
|
| 103 |
+
logger.info("Uploading chunks to Pinecone...")
|
| 104 |
+
|
| 105 |
+
vectorstore = self.vector_store()
|
| 106 |
+
vectorstore.add_documents(split_docs)
|
| 107 |
+
|
| 108 |
+
logger.info("Documents uploaded to Pinecone successfully.")
|
| 109 |
+
|
| 110 |
+
except Exception:
|
| 111 |
+
logger.exception("Error uploading documents to Pinecone.")
|
| 112 |
+
|
| 113 |
+
def delete_all_docs(self):
|
| 114 |
+
try:
|
| 115 |
+
logger.info("Deleting ALL documents from Pinecone index...")
|
| 116 |
+
|
| 117 |
+
index = self.pc.Index(self.index_name)
|
| 118 |
+
|
| 119 |
+
index.delete(delete_all=True)
|
| 120 |
+
|
| 121 |
+
logger.info("All documents deleted successfully.")
|
| 122 |
+
|
| 123 |
+
self.bm25_retriever = None
|
| 124 |
+
self.cached_docs = [] # FIX
|
| 125 |
+
|
| 126 |
+
except Exception:
|
| 127 |
+
logger.exception("Error deleting all documents.")
|
| 128 |
+
|
| 129 |
+
def create_bm25(self, split_docs=None, k=4): # FIX
|
| 130 |
+
try:
|
| 131 |
+
logger.info("Creating BM25 retriever...")
|
| 132 |
+
|
| 133 |
+
docs = split_docs if split_docs is not None else self.cached_docs
|
| 134 |
+
|
| 135 |
+
self.bm25_retriever = BM25Retriever.from_documents(docs)
|
| 136 |
+
self.bm25_retriever.k = k
|
| 137 |
+
|
| 138 |
+
logger.info("BM25 retriever ready.")
|
| 139 |
+
|
| 140 |
+
except Exception:
|
| 141 |
+
logger.exception("Error creating BM25 retriever.")
|
| 142 |
+
|
| 143 |
+
def dense_retriever(self, k=4):
|
| 144 |
+
vectorstore = self.vector_store()
|
| 145 |
+
|
| 146 |
+
return vectorstore.as_retriever(
|
| 147 |
+
search_kwargs={"k": k}
|
| 148 |
+
)
|
| 149 |
+
|
| 150 |
+
def hybrid_retrieve(self, query, dense_k=4, top_k=6):
|
| 151 |
+
try:
|
| 152 |
+
dense_docs = []
|
| 153 |
+
|
| 154 |
+
try:
|
| 155 |
+
dense_docs = self.dense_retriever(k=dense_k).invoke(query)
|
| 156 |
+
except Exception:
|
| 157 |
+
logger.warning("Dense retrieval unavailable.")
|
| 158 |
+
|
| 159 |
+
bm25_docs = []
|
| 160 |
+
|
| 161 |
+
if self.bm25_retriever is None:
|
| 162 |
+
if self.cached_docs:
|
| 163 |
+
logger.info("Rebuilding BM25 retriever.")
|
| 164 |
+
self.create_bm25()
|
| 165 |
+
else:
|
| 166 |
+
logger.warning("No uploaded docs found. Using direct LLM fallback.")
|
| 167 |
+
return []
|
| 168 |
+
|
| 169 |
+
if self.bm25_retriever:
|
| 170 |
+
bm25_docs = self.bm25_retriever.invoke(query)
|
| 171 |
+
|
| 172 |
+
combined = bm25_docs + dense_docs
|
| 173 |
+
|
| 174 |
+
seen = set()
|
| 175 |
+
unique = []
|
| 176 |
+
|
| 177 |
+
for doc in combined:
|
| 178 |
+
text = doc.page_content.strip()
|
| 179 |
+
|
| 180 |
+
if text not in seen:
|
| 181 |
+
seen.add(text)
|
| 182 |
+
unique.append(doc)
|
| 183 |
+
|
| 184 |
+
return unique[:top_k]
|
| 185 |
+
|
| 186 |
+
except Exception:
|
| 187 |
+
logger.exception("Error during hybrid retrieval.")
|
| 188 |
+
return []
|