Spaces:
Sleeping
Sleeping
Run via uvicorn FastAPI+Gradio so /chat stays up for Flutter.
Browse files- README.md +3 -2
- app.py +50 -33
- requirements.txt +1 -0
README.md
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@@ -13,16 +13,17 @@ pinned: false
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Gradio Space that proxies chat to DeepSeek with per-topic personality prompts.
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##
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- `GET /health`
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- `GET /personalities`
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- `GET /personalities/{id}`
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- `POST /chat` — `{ "personalityId", "message", "history?" }`
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Public URL: `https://scchess-confidence-api.hf.space`
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## Secrets
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- `DEEPSEEK_API_KEY` (required)
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- `CHAT_API_SECRET` (optional) —
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Gradio Space that proxies chat to DeepSeek with per-topic personality prompts.
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## Endpoints (Flutter)
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- `GET /health`
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- `GET /personalities`
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- `GET /personalities/{id}`
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- `POST /chat` — `{ "personalityId", "message", "history?" }`
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- UI: `/ui`
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Public URL: `https://scchess-confidence-api.hf.space`
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## Secrets
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- `DEEPSEEK_API_KEY` (required)
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- `CHAT_API_SECRET` (optional) — non-health API routes need header `X-App-Key`
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app.py
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@@ -9,12 +9,12 @@ from typing import Any
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import gradio as gr
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import httpx
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from fastapi import HTTPException, Request
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from fastapi.responses import JSONResponse
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try:
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import spaces
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except ImportError:
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spaces = None
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PERSONALITIES_PATH = Path(__file__).with_name("personalities.json")
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}
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-
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(f"{p['name']} ({p['id']})", p["id"]) for p in PERSONALITIES.values()
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]
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# ZeroGPU Spaces require at least one @spaces.GPU function at import time.
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# Chat itself is CPU-only (DeepSeek HTTP proxy); this satisfies the runtime check.
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if spaces is not None:
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@spaces.GPU(duration=60)
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return "ok"
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async def ui_chat(
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personality_id: str,
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message: str,
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return history, ""
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-
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gr.Markdown(
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"## Confidence Buddy API\n"
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"Flutter uses `POST /chat`. This UI is for quick manual checks.\n\n"
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f"Personalities loaded: **{len(PERSONALITIES)}**"
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)
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personality = gr.Dropdown(
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choices=PERSONALITY_CHOICES,
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value=PERSONALITY_CHOICES[0][1] if PERSONALITY_CHOICES else None,
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label="Personality",
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)
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chatbot = gr.Chatbot(type="messages", height=420)
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msg = gr.Textbox(label="Message", placeholder="Type a message…")
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clear = gr.Button("Clear")
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msg.submit(ui_chat, [personality, msg, chatbot], [chatbot, msg])
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clear.click(lambda: ([], ""), outputs=[chatbot, msg])
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-
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@demo.app.middleware("http")
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async def optional_app_key(request: Request, call_next):
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return await call_next(request)
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secret = _app_secret()
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if secret and request.headers.get("x-app-key") != secret:
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return await call_next(request)
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@
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async def health():
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return {"ok": True, "hasApiKey": bool(_api_key())}
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@
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async def personalities_list():
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return list_personalities()
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@
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async def personality_detail(personality_id: str):
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personality = get_personality(personality_id)
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if not personality:
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}
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@
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async def chat_endpoint(request: Request):
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body = await request.json()
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try:
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)
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except HTTPException as exc:
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return JSONResponse({"error": exc.detail}, status_code=exc.status_code)
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import gradio as gr
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import httpx
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from fastapi import FastAPI, HTTPException, Request
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from fastapi.responses import JSONResponse, RedirectResponse
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try:
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import spaces
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except ImportError:
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spaces = None
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PERSONALITIES_PATH = Path(__file__).with_name("personalities.json")
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}
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# ZeroGPU hardware on this Space requires a @spaces.GPU symbol at import time.
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if spaces is not None:
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@spaces.GPU(duration=60)
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return "ok"
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PERSONALITY_CHOICES = [
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(f"{p['name']} ({p['id']})", p["id"]) for p in PERSONALITIES.values()
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]
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async def ui_chat(
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personality_id: str,
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message: str,
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return history, ""
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api = FastAPI()
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@api.middleware("http")
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async def optional_app_key(request: Request, call_next):
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path = request.url.path
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if path in ("/health", "/", "/ui", "/ui/") or path.startswith("/ui/"):
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return await call_next(request)
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secret = _app_secret()
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if secret and request.headers.get("x-app-key") != secret:
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return await call_next(request)
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@api.get("/")
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async def root():
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return RedirectResponse(url="/ui/")
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@api.get("/health")
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async def health():
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return {"ok": True, "hasApiKey": bool(_api_key())}
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@api.get("/personalities")
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async def personalities_list():
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return list_personalities()
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@api.get("/personalities/{personality_id}")
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async def personality_detail(personality_id: str):
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personality = get_personality(personality_id)
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if not personality:
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}
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@api.post("/chat")
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async def chat_endpoint(request: Request):
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body = await request.json()
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try:
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)
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except HTTPException as exc:
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return JSONResponse({"error": exc.detail}, status_code=exc.status_code)
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with gr.Blocks(title="Confidence Buddy API") as gradio_ui:
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gr.Markdown(
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"## Confidence Buddy API\n"
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"Flutter uses `POST /chat`. This UI is for quick manual checks.\n\n"
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f"Personalities loaded: **{len(PERSONALITIES)}** · "
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f"API key configured: **{bool(_api_key())}**"
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)
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personality = gr.Dropdown(
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choices=PERSONALITY_CHOICES,
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value=PERSONALITY_CHOICES[0][1] if PERSONALITY_CHOICES else None,
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label="Personality",
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)
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chatbot = gr.Chatbot(type="messages", height=420)
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msg = gr.Textbox(label="Message", placeholder="Type a message…")
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clear = gr.Button("Clear")
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msg.submit(ui_chat, [personality, msg, chatbot], [chatbot, msg])
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clear.click(lambda: ([], ""), outputs=[chatbot, msg])
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app = gr.mount_gradio_app(api, gradio_ui, path="/ui")
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=int(os.environ.get("PORT", "7860")))
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requirements.txt
CHANGED
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gradio>=5.0.0,<6
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httpx>=0.27.0
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spaces>=0.30.0
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gradio>=5.0.0,<6
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httpx>=0.27.0
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spaces>=0.30.0
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uvicorn>=0.30.0
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