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Switch to Docker-based deployment with proper FastAPI+Gradio integration
Browse files🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Dockerfile +12 -0
- README.md +27 -18
- app.py +30 -47
- requirements.txt +1 -1
Dockerfile
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FROM python:3.10-slim
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WORKDIR /app
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY app.py .
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EXPOSE 7860
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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README.md
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---
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title:
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emoji:
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colorFrom:
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sdk: docker
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sdk_version: 5.38.2
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app_file: app.py
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pinned: false
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---
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#
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This
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- **FastAPI endpoint**: `/api?a=<number>` - Returns JSON with `a` and `b=2*a`
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- **Health check**: `/health` - App status endpoint
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## Local Development
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```bash
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pip install -r requirements.txt
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```
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The app will be available at:
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- UI: http://localhost:7860/
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- API: http://localhost:7860/api
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- Health: http://localhost:7860/health
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---
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title: Gradio + FastAPI App
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emoji: 🔥
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colorFrom: indigo
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colorTo: cyan
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sdk: docker
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app_file: app.py
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pinned: false
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---
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# Gradio + FastAPI Hybrid App
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This Hugging Face Space serves:
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- ✅ Gradio UI at `/` (via `gr.Interface`)
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- ✅ JSON API at `/api` (GET request with `?a=int`)
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- ✅ CORS enabled
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- ✅ OpenAPI docs at `/docs` (not visible in HF but works locally)
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## Example Usage
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### API
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```bash
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curl "https://your-space.hf.space/api?a=10"
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# Returns: {"a": 10, "b": 20}
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```
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### Web Interface
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Visit the root URL for the interactive Gradio interface.
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## Local Development
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```bash
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pip install -r requirements.txt
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uvicorn app:app --host 0.0.0.0 --port 7860
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```
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Or with Docker:
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```bash
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docker build -t gradio-fastapi .
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docker run -p 7860:7860 gradio-fastapi
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```
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The app will be available at:
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- UI: http://localhost:7860/
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- API: http://localhost:7860/api
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app.py
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import gradio as gr
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# Core logic
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def compute(a: int):
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return {"a": a, "b": 2 * a}
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#
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try:
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result = compute(int(a))
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return f"Result: a = {result['a']}, b = {result['b']}"
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except:
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return "Invalid input - please enter a valid number"
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# API function that returns JSON
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def api_compute(a):
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try:
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result = compute(int(a))
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return result
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except:
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return {"error": "Invalid input"}
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# Create Gradio interface
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with gr.Blocks(title="FastAPI + Gradio Calculator") as demo:
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gr.Markdown("# FastAPI + Gradio Calculator")
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gr.Markdown("Enter a number to compute a and b=2*a")
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with gr.Tab("Web Interface"):
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with gr.Row():
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input_num = gr.Number(label="Enter number 'a'", value=5)
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result_text = gr.Textbox(label="Result", interactive=False)
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submit_btn = gr.Button("Calculate")
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submit_btn.click(gradio_compute, inputs=input_num, outputs=result_text)
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input_num.submit(gradio_compute, inputs=input_num, outputs=result_text)
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gr.Examples([[5], [10], [42]], inputs=input_num)
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with gr.Tab("API"):
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gr.Markdown("## API Usage")
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gr.Markdown("Use the Gradio API endpoint:")
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gr.Markdown("```\nPOST /gradio_api/call/api_compute\n```")
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api_input = gr.Number(label="Enter number for API", value=5)
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api_output = gr.JSON(label="API Response")
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api_btn = gr.Button("Test API")
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api_btn.click(api_compute, inputs=api_input, outputs=api_output)
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#
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from fastapi import FastAPI, Query, HTTPException
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import JSONResponse
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import gradio as gr
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from gradio.routes import mount_gradio_app
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# FastAPI app
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app = FastAPI(title="Gradio + FastAPI Hybrid App", description="UI at `/`, API at `/api`", version="1.0")
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# Enable CORS (for JS/frontend clients)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # You can restrict this in prod
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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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# Core logic
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def compute(a: int):
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return {"a": a, "b": 2 * a}
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# GET /api?a=10 → JSON
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@app.get("/api")
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def get_api(a: int = Query(..., description="Input integer")):
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return JSONResponse(content=compute(a))
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# Gradio UI app
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gr_app = gr.Interface(
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fn=compute,
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inputs=gr.Number(label="Input a"),
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outputs="json",
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title="Double Calculator",
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description="Returns JSON: {'a': a, 'b': 2a}"
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)
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# Mount Gradio UI at root `/`
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app = mount_gradio_app(app, gr_app, path="/")
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requirements.txt
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gradio
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fastapi
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uvicorn
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fastapi
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gradio
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uvicorn
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