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