Update main.py

main.py

@@ -1,9 +1,11 @@
 from fastapi import FastAPI, File, UploadFile, Form
-from fastapi.responses import StreamingResponse, FileResponse
+from fastapi.responses import StreamingResponse
 from fastapi.staticfiles import StaticFiles
 import torch
+import shutil
 import cv2
 import numpy as np
+import io
 from io import BytesIO
 
 app = FastAPI()
@@ -18,7 +20,7 @@ def load_model():
     model.load_model('cartoon4')
 
 @app.post("/upload/")
-async def process_image(file: UploadFile = File(...)):
+async def process_image(file: UploadFile = File(...), top: int = Form(...), bottom: int = Form(...), left: int = Form(...), right: int = Form(...)):
     global model
     if model is None:
         load_model()
@@ -30,13 +32,8 @@ async def process_image(file: UploadFile = File(...)):
     nparr = np.frombuffer(contents, np.uint8)
     frame_rgb = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
 
-    # Automatically detect and align the face
-    aligned_face, instyle, message = model.detect_and_align_image(frame_rgb, 0, 0, 0, 0)
-    
-    if instyle is None:
-        return {"error": "No face detected. Please try a different image."}
-
     # Process the uploaded image
+    aligned_face, instyle, message = model.detect_and_align_image(frame_rgb, top, bottom, left, right)
     processed_image, message = model.image_toonify(aligned_face, instyle, model.exstyle, style_degree=0.5, style_type='cartoon4')
 
     # Convert BGR to RGB
@@ -48,10 +45,12 @@ async def process_image(file: UploadFile = File(...)):
     # Return the processed image as a streaming response
     return StreamingResponse(BytesIO(encoded_image.tobytes()), media_type="image/jpeg")
 
+
 # Mount static files directory
 app.mount("/", StaticFiles(directory="AB", html=True), name="static")
 
 # Define index route
 @app.get("/")
 def index():
-    return FileResponse(path="/app/AB/index.html", media_type="text/html")
+    return FileResponse(path="/app/AB/index.html", media_type="text/html")
+