Update main.py
Browse files
main.py
CHANGED
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@@ -1,4 +1,5 @@
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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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@@ -18,18 +19,33 @@ except Exception as e:
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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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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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import os
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import tempfile
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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.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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# Create a temporary file
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with tempfile.NamedTemporaryFile(delete=False) as temp_file:
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# Write the uploaded file contents to the temp file
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contents = await image.read()
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temp_file.write(contents)
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temp_file_path = temp_file.name
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# Use the temporary file path with handle_file or any other processing
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image_data = handle_file(temp_file_path)
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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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print(f"Error during prediction: {e}")
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return JSONResponse(content={"error": str(e)}, status_code=500)
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finally:
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# Remove the temporary file
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if os.path.exists(temp_file_path):
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os.remove(temp_file_path)
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# Run the server with: uvicorn main:app --reload
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