Update main.py

main.py

@@ -1,47 +1,39 @@
-from fastapi import FastAPI, File, UploadFile,Form
-from fastapi.responses import FileResponse, StreamingResponse
-from fastapi.staticfiles import StaticFiles
+from __future__ import annotations
 from fastapi import FastAPI, File, UploadFile
-from pydantic import BaseModel
-import numpy as np
-import cv2
+from fastapi.responses import FileResponse
+from fastapi.staticfiles import StaticFiles
+import shutil
 import torch
+import numpy as np
+
 from vtoonify_model import Model
-import shutil
-import os
 
 app = FastAPI()
 model = Model(device='cuda' if torch.cuda.is_available() else 'cpu')
 
 @app.post("/upload/")
-async def upload_image(file: UploadFile = File(...), top: int = Form(...), bottom: int = Form(...), left: int = Form(...), right: int = Form(...)):
-    try:
-        with open("temp.jpg", "wb") as buffer:
-            shutil.copyfileobj(file.file, buffer)
-        
-        # Perform image processing using the model
-        result_image, _, _ = model.detect_and_align_image("temp.jpg", top, bottom, left, right)
-        
-        # Save the result image temporarily
-        result_path = "result.jpg"
-        cv2.imwrite(result_path, result_image)
-        
-        # Return the result image
-        with open(result_path, "rb") as result_buffer:
-            result_image_bytes = result_buffer.read()
-        
-        # Remove temporary files
-        os.remove("temp.jpg")
-        os.remove(result_path)
-        
-        return {"result_image": result_image_bytes}
-    
-    except Exception as e:
-        return {"error": str(e)}
+async def process_image(file: UploadFile = File(...)):
+    # Save the uploaded image locally
+    with open("uploaded_image.jpg", "wb") as buffer:
+        shutil.copyfileobj(file.file, buffer)
+
+    # Load the model (assuming 'cartoon1' is always used)
+    exstyle, load_info = model.load_model('cartoon1')
+
+    # Process the uploaded image
+    top, bottom, left, right = 200, 200, 200, 200  
+    aligned_face, _, input_info = model.detect_and_align_image("uploaded_image.jpg", top, bottom, left, right)
+    processed_image, message = model.image_toonify(aligned_face, None, exstyle, style_degree=0.5, style_type='cartoon1')
+
+    # Save the processed image
+    with open("result_image.jpg", "wb") as result_buffer:
+        result_buffer.write(processed_image)
+
+    # Return the processed image
+    return FileResponse("result_image.jpg", media_type="image/jpeg", headers={"Content-Disposition": "attachment; filename=result_image.jpg"})
 
 app.mount("/", StaticFiles(directory="AB", html=True), name="static")
 
 @app.get("/")
 def index() -> FileResponse:
     return FileResponse(path="/app/AB/index.html", media_type="text/html")
-