Update main.py
Browse files
main.py
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import os
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from fastapi import FastAPI, File, UploadFile, Form
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from fastapi.responses import JSONResponse
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from gradio_client import Client, handle_file
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app = FastAPI()
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HF_TOKEN = os.getenv("HF_TOKEN")
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client = Client("Luisgust/moondream1", hf_token=HF_TOKEN)
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@app.post("/get_caption")
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async def get_caption(image: UploadFile = File(...), context: str = Form(...)):
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try:
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# Read the uploaded image file
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contents = await image.read()
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# Use handle_file to prepare the image for the Gradio client
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image_data = handle_file(contents, orig_name=image.filename)
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# Call the Gradio API
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result = client.predict(
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image=image_data,
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question=context,
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api_name="/answer_question"
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)
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# Return the result as a JSON response
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return JSONResponse(content={"caption": result})
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except Exception as e:
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return JSONResponse(content={"error": str(e)}, status_code=500)
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import os
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from fastapi import FastAPI, File, UploadFile, Form
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from fastapi.responses import JSONResponse
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from gradio_client import Client, handle_file
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app = FastAPI()
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HF_TOKEN = os.getenv("HF_TOKEN")
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if not HF_TOKEN:
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raise ValueError("HF_TOKEN environment variable is not set.")
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try:
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client = Client("Luisgust/moondream1", hf_token=HF_TOKEN)
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except Exception as e:
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print(f"Failed to initialize Gradio client: {e}")
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raise
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@app.post("/get_caption")
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async def get_caption(image: UploadFile = File(...), context: str = Form(...)):
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try:
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contents = await image.read()
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image_data = handle_file(contents, orig_name=image.filename)
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result = client.predict(
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image=image_data,
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question=context,
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api_name="/answer_question"
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)
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return JSONResponse(content={"caption": result})
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except Exception as e:
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print(f"Error during prediction: {e}")
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return JSONResponse(content={"error": str(e)}, status_code=500)
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