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from fastapi import FastAPI, UploadFile, File, HTTPException
from fastapi.responses import JSONResponse
from gradio_client import Client, handle_file
import shutil
import os
import base64
import os
app = FastAPI()
HF_TOKEN = os.getenv("HF_TOKEN")
# Initialize the Gradio client with the token
client = Client("Makhinur/Bringingoldphotoliveagain", hf_token=HF_TOKEN)
@app.post("/upload/")
async def upload_image(file: UploadFile = File(...)):
# Save the uploaded file to a temporary location
temp_file_path = f"temp_{file.filename}"
with open(temp_file_path, "wb") as buffer:
shutil.copyfileobj(file.file, buffer)
try:
# Use Gradio client to process the image
result = client.predict(
img=handle_file(temp_file_path),
api_name="/predict"
)
# Encode the processed image as base64
with open(result[0], "rb") as image_file:
encoded_image = base64.b64encode(image_file.read()).decode('utf-8')
# Clean up the temporary file
os.remove(temp_file_path)
# Return the processed image as a base64 string
return JSONResponse(content={"sketch_image_base64": f"data:image/png;base64,{encoded_image}"})
except Exception as e:
# Clean up the temporary file in case of an error
if os.path.exists(temp_file_path):
os.remove(temp_file_path)
raise HTTPException(status_code=500, detail=str(e))
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