skill education wip test

.cursor/plans/skill_agent_pptx_5413e3c2.plan.md

@@ -10,13 +10,13 @@ todos:
     status: completed
   - id: gradio-tabs
     content: "Refactor Gradio app into Tabs: Education PPTX (primary) + Chat (debug)"
-    status: in_progress
+    status: completed
   - id: docker-workspace
     content: Wire agent package into uv workspace, Dockerfile, models.yaml active_model
-    status: pending
+    status: completed
   - id: trace-demo
     content: Add trace JSON export + README demo script for hackathon submission
-    status: pending
+    status: completed
 isProject: false
 ---
 

.env.example

@@ -1,25 +1,30 @@
 # --- Preset selection (models.yaml is the source of truth) ---
-ACTIVE_MODEL=qwen3b-gguf
+ACTIVE_MODEL=minicpm5-1b
 # Dev: enable dropdown in Gradio. Space: leave false to pin one model for visitors.
-ALLOW_MODEL_SWITCH=true
+ALLOW_MODEL_SWITCH=false
 # MODEL_PRESETS_PATH=./models.yaml
 
-# --- Legacy single-model overrides (optional; applied to ACTIVE_MODEL only) ---
-INFERENCE_BACKEND=llama_cpp
-MODEL_REPO=Qwen/Qwen2.5-3B-Instruct-GGUF
-MODEL_FILE=qwen2.5-3b-instruct-q4_k_m.gguf
-N_CTX=4096
-N_GPU_LAYERS=0
-
-# Optional: local GGUF path instead of Hub download (set in models.yaml model_path too)
-# MODEL_PATH=./models/qwen2.5-3b-instruct-q4_k_m.gguf
+# --- Agent outputs ---
+# AGENT_OUTPUTS_DIR=/tmp/agent_outputs
+# AGENT_TRACES_DIR=outputs/traces
+# SKILLS_DIR=./skills
 
-# Optional: transformers presets (requires inference[transformers] extra)
-# ACTIVE_MODEL=minicpm5-1b
+# --- Legacy single-model overrides (optional; applied to ACTIVE_MODEL only) ---
 # INFERENCE_BACKEND=transformers
 # MODEL_ID=openbmb/MiniCPM5-1B
 # TRUST_REMOTE_CODE=true
 
+# --- llama.cpp presets (optional) ---
+# ACTIVE_MODEL=qwen3b-gguf
+# INFERENCE_BACKEND=llama_cpp
+# MODEL_REPO=Qwen/Qwen2.5-3B-Instruct-GGUF
+# MODEL_FILE=qwen2.5-3b-instruct-q4_k_m.gguf
+# N_CTX=4096
+# N_GPU_LAYERS=0
+
+# Optional: local GGUF path instead of Hub download
+# MODEL_PATH=./models/qwen2.5-3b-instruct-q4_k_m.gguf
+
 # Optional: local fine-tuned merged weights
 # ACTIVE_MODEL=gemma-merged-local
 # MODEL_ID=./gemma_merged_model

USAGE.md

@@ -1,6 +1,8 @@
 # Usage
 
-How to run the Gradio chat app locally, test it in Docker, and deploy to a Hugging Face Space for the [Build Small Hackathon](https://huggingface.co/build-small-hackathon).
+How to run the **Lesson Agent** Gradio app locally, test it in Docker, and deploy to a Hugging Face Space for the [Build Small Hackathon](https://huggingface.co/build-small-hackathon).
+
+The primary UI is the **Lesson slides** tab (topic → local model outline → downloadable `.pptx`). The **Chat (debug)** tab tests the underlying model.
 
 ## Prerequisites
 
@@ -23,11 +25,11 @@ uv sync --all-packages
 cp .env.example .env
 ```
 
-Edit `.env` if you want a different model or local GGUF path. Defaults work out of the box.
+Edit `.env` if you want a different model preset. Default is `minicpm5-1b` (transformers).
 
-### 3. Pre-download the model (recommended)
+### 3. Pre-download the model (optional for GGUF presets)
 
-The app can download the GGUF on first chat, but pre-downloading avoids a long wait during your first message:
+If using a GGUF preset (`qwen3b-gguf`), pre-download avoids a long wait on first use:
 
 ```bash
 uv run python scripts/download_model.py
@@ -47,7 +49,13 @@ uv run --package gradio-space python -m gradio_space.app
 
 Open [http://localhost:7860](http://localhost:7860).
 
-The model loads on the **first chat message** unless you set `MODEL_PATH`. After code changes, restart the process to pick up updates.
+The model loads on the **first Generate** (Lesson slides) or chat message. Agent traces are written to `outputs/traces/`. After code changes, restart the process to pick up updates.
+
+### 5. Upload agent trace (Sharing is Caring badge)
+
+```bash
+uv run python scripts/upload_trace.py --repo-id YOUR_USER/build-small-agent-traces
+```
 
 ### 5. Quick sanity checks
 

uv.lock

@@ -15,6 +15,7 @@ resolution-markers = [
 
 [manifest]
 members = [
+    "agent",
     "gradio-space",
     "inference",
     "small-model-hackathon",
@@ -38,6 +39,25 @@ wheels = [
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 ]
 
+[[package]]
+name = "agent"
+version = "0.1.0"
+source = { editable = "libs/agent" }
+dependencies = [
+    { name = "inference" },
+    { name = "pydantic" },
+    { name = "python-pptx" },
+    { name = "pyyaml" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "inference", editable = "libs/inference" },
+    { name = "pydantic", specifier = ">=2.0.0" },
+    { name = "python-pptx", specifier = ">=1.0.0" },
+    { name = "pyyaml", specifier = ">=6.0.2" },
+]
+
 [[package]]
 name = "annotated-doc"
 version = "0.0.4"
@@ -362,12 +382,14 @@ name = "gradio-space"
 version = "0.1.0"
 source = { editable = "apps/gradio-space" }
 dependencies = [
+    { name = "agent" },
     { name = "gradio" },
     { name = "inference" },
 ]
 
 [package.metadata]
 requires-dist = [
+    { name = "agent", editable = "libs/agent" },
     { name = "gradio", specifier = ">=5.0.0" },
     { name = "inference", editable = "libs/inference" },
 ]
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