It was working. Now testing by adding webinterface in docker without gradio.

app.py

@@ -1,21 +1,50 @@
-from fastapi import FastAPI
+from fastapi import FastAPI, Header, HTTPException, Request, Form
+from fastapi.responses import HTMLResponse
+from fastapi.templating import Jinja2Templates
+from fastapi.staticfiles import StaticFiles
 from pydantic import BaseModel
 from gradio_client import Client
 
-app = FastAPI()
+app = FastAPI(
+    title="SearchGPT Relay API",
+    description="A simple wrapper around SearchGPT using gradio_client",
+    version="1.0.0"
+)
+
+API_KEY = "your-secret-api-key"
+
+templates = Jinja2Templates(directory="templates")
 
 class Message(BaseModel):
     text: str
 
-@app.get("/")
-def read_root():
-    return {"status": "SearchGPT API is running"}
+@app.get("/", response_class=HTMLResponse)
+def read_root(request: Request):
+    return templates.TemplateResponse("index.html", {"request": request})
 
 @app.post("/ask")
-async def ask_searchgpt(msg: Message):
+async def ask_searchgpt(
+    msg: Message,
+    x_api_key: str = Header(..., description="Your API key")
+):
+    if x_api_key != API_KEY:
+        raise HTTPException(status_code=401, detail="Invalid API key")
+
     client = Client("https://umint-searchgpt.hf.space/")
     result = client.predict(
         user_message={"text": msg.text},
         api_name="/public"
     )
     return {"response": result}
+
+@app.post("/web", response_class=HTMLResponse)
+async def ask_via_web(request: Request, apikey: str = Form(...), text: str = Form(...)):
+    if apikey != API_KEY:
+        return HTMLResponse(content="<h3>Invalid API Key</h3>", status_code=401)
+
+    client = Client("https://umint-searchgpt.hf.space/")
+    result = client.predict(
+        user_message={"text": text},
+        api_name="/public"
+    )
+    return HTMLResponse(content=f"<h3>Response:</h3><p>{result}</p>")