from pathlib import Path from fastapi import FastAPI from fastapi.staticfiles import StaticFiles from fastapi import File, UploadFile import uvicorn import gradio as gr from datetime import datetime import sys # create a FastAPI app app = FastAPI() # create a static directory to store the static files static_dir = Path('./static') static_dir.mkdir(parents=True, exist_ok=True) # mount FastAPI StaticFiles server app.mount("/static", StaticFiles(directory=static_dir), name="static") app.mount("/public", StaticFiles(directory=static_dir), name="static") @app.post("/upload") def upload(file: UploadFile = File(...)): try: file_name = f"{datetime.utcnow().strftime('%s')}.html" file_path = static_dir / file_name print(file_path) with open(file_path, 'wb') as f: while contents := file.file.read(1024 * 1024): f.write(contents) except Exception: return {"message": "There was an error uploading the file"} finally: file.file.close() return {"message": f"Successfully uploaded {file_path}", "url": f"https://fairedge-static-page.hf.space/{file_path}"} def predict(text_input): file_name = f"{datetime.utcnow().strftime('%s')}.html" file_path = static_dir / file_name print(file_path) with open(file_path, "w") as f: f.write(f"""