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from fastapi import FastAPI, Response, HTTPException |
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from pydantic import BaseModel |
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from typing import Union, Dict, Any |
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import os |
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import io |
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import sys |
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from handler import EndpointHandler |
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def debug_log(message): |
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print(f"DEBUG: {message}") |
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sys.stdout.flush() |
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debug_log("Starting API initialization") |
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app = FastAPI() |
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model_dir = os.environ.get("MODEL_DIR", "/code/diffsketcher") |
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debug_log(f"Using model_dir: {model_dir}") |
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handler = EndpointHandler(model_dir) |
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debug_log("Handler initialized") |
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class TextRequest(BaseModel): |
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inputs: Union[str, Dict[str, Any]] |
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@app.get("/") |
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def read_root(): |
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debug_log("Root endpoint called") |
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return {"message": "DiffSketcher Vector Graphics Generation API"} |
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@app.post("/") |
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async def generate(request: TextRequest): |
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try: |
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debug_log(f"Generate endpoint called with request: {request}") |
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result = handler(request.dict()) |
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debug_log("Handler returned result") |
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if hasattr(result, "save"): |
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debug_log("Result is a PIL Image, converting to bytes") |
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img_byte_arr = io.BytesIO() |
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result.save(img_byte_arr, format="PNG") |
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img_byte_arr.seek(0) |
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debug_log("Returning image response") |
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return Response(content=img_byte_arr.getvalue(), media_type="image/png") |
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else: |
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debug_log(f"Returning JSON response: {result}") |
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return result |
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except Exception as e: |
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debug_log(f"Error in generate endpoint: {e}") |
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import traceback |
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debug_log(traceback.format_exc()) |
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raise HTTPException(status_code=500, detail=str(e)) |