Update main.py

from fastapi import FastAPI, File, UploadFile, Form
from fastapi.responses import JSONResponse
from gradio_client import Client, handle_file
import shutil
import base64
import os

app = FastAPI()

HF_TOKEN = os.getenv("HF_TOKEN")

# Initialize the Gradio client with the token
client = Client("Makhinur/Image_Face_Upscale_Restoration-GFPGAN", hf_token=HF_TOKEN)


# Version mapping from HTML to Gradio API
version_map = {
"M1": "v1.2",
"M2": "v1.3",
"M3": "v1.4"
}



@app
.post("/upload/")
async def enhance_image(
file: UploadFile = File(...),
version: str = Form(...),
scale: int = Form(...)
):
# Map version from HTML to Gradio expected value
gradio_version = version_map.get(version, "v1.4")

# Save the uploaded image to a temporary file
temp_file_path = "temp_image.png"
with open(temp_file_path, "wb") as buffer:
shutil.copyfileobj(file.file, buffer)

try:
# Use the Gradio client to process the image
result = client.predict(
img=handle_file(temp_file_path),
version=gradio_version,
scale=scale,
api_name="/predict"
)

# Read the result image and encode it in base64
with open(result[0], "rb") as img_file:
b64_string = base64.b64encode(img_file.read()).decode('utf-8')

# Clean up the temporary file
os.remove(temp_file_path)

return JSONResponse(content={"sketch_image_base64": f"data:image/png;base64,{b64_string}"})

except Exception as e:
# Log the error message for debugging
print(f"Error processing image: {e}")
return JSONResponse(status_code=500, content={"message": "Internal Server Error"})

main.py

@@ -12,6 +12,7 @@ HF_TOKEN = os.getenv("HF_TOKEN")
 # Initialize the Gradio client with the token
 client = Client("Makhinur/Image_Face_Upscale_Restoration-GFPGAN", hf_token=HF_TOKEN)
 
+
 # Version mapping from HTML to Gradio API
 version_map = {
     "M1": "v1.2",
@@ -43,18 +44,16 @@ async def enhance_image(
         )
 
         # Read the result image and encode it in base64
-        with open(result[0], "rb") as image_file:
-            image_data = base64.b64encode(image_file.read()).decode("utf-8")
+        with open(result[0], "rb") as img_file:
+            b64_string = base64.b64encode(img_file.read()).decode('utf-8')
 
         # Clean up the temporary file
         os.remove(temp_file_path)
 
-        return JSONResponse(content={
-            "sketch_image_base64": f"data:image/png;base64,{image_data}",
-            "result_file": result[1]
-        })
+        return JSONResponse(content={"sketch_image_base64": f"data:image/png;base64,{b64_string}"})
 
     except Exception as e:
         # Log the error message for debugging
         print(f"Error processing image: {e}")
-        return JSONResponse(status_code=500, content={"message": "Internal Server Error"})
+        return JSONResponse(status_code=500, content={"message": "Internal Server Error"})
+