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Update backend/main.py
Browse files- backend/main.py +52 -0
backend/main.py
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from fastapi import FastAPI, File, UploadFile, HTTPException
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from fastapi.responses import StreamingResponse
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from fastapi.middleware.cors import CORSMiddleware
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import gradio_client as grc
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from PIL import Image
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import io
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app = FastAPI(title="Face Aging + White Hair & Beard API")
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# CORS allow karo Android app ke liye
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # Production mein specific origin daalna (jaise http://10.0.2.2 etc.)
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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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# Apna Hugging Face Space ka URL yahan daal do
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HF_SPACE_URL = "https://huggingface.co/spaces/Seniordev22/OldServer" # ← apna actual space URL daal do
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client = grc.Client(HF_SPACE_URL)
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@app.post("/age-face")
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async def age_face(file: UploadFile = File(...)):
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if not file.content_type.startswith("image/"):
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raise HTTPException(400, detail="Only image files allowed")
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contents = await file.read()
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try:
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# Gradio Space ko call kar rahe hain (image input)
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result = client.predict(
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image=grc.handle_file(io.BytesIO(contents)), # ya direct bytes bhi try kar sakte ho
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api_name="/predict" # ← yeh important hai! Apne Space mein "Use via API" check karo exact api_name ke liye
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)
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# Agar result mein image hai (usually tuple hota hai)
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if isinstance(result, tuple):
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output_image = result[0] # pehla output image assume kar rahe hain
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else:
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output_image = result
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# Image ko bytes mein convert karke return karo
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img_byte_arr = io.BytesIO()
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output_image.save(img_byte_arr, format='PNG')
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img_byte_arr.seek(0)
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return StreamingResponse(img_byte_arr, media_type="image/png")
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except Exception as e:
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raise HTTPException(500, detail=f"Error processing image: {str(e)}")
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