Update main.py

main.py

@@ -1,36 +1,30 @@
-from __future__ import annotations
-from fastapi import FastAPI, File, UploadFile
-from fastapi.responses import FileResponse
+from fastapi import FastAPI, File, UploadFile,Form
+from fastapi.responses import FileResponse, StreamingResponse
 from fastapi.staticfiles import StaticFiles
-import shutil
-import torch
+from fastapi import FastAPI, File, UploadFile
+from pydantic import BaseModel
 import numpy as np
-
+import cv2
 from vtoonify_model import Model
 
 app = FastAPI()
-model = Model(device='cuda' if torch.cuda.is_available() else 'cpu')
-
-@app.post("/upload/")
-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 without setting Content-Disposition header
-    return FileResponse("result_image.jpg", media_type="image/jpeg")
+# Load the model
+device = "cuda" if torch.cuda.is_available() else "cpu"
+model = Model(device)
+exstyle, message = model.load_model("cartoon1")
+
+class ImageRequest(BaseModel):
+    image_file: UploadFile = File(...)
+
+@app.post("/toonify/image/")
+async def toonify_image(image_request: ImageRequest):
+    image = await image_request.image_file.read()
+    nparr = np.frombuffer(image, np.uint8)
+    img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
+    aligned_face, instyle, message = model.detect_and_align_image(img, 200, 200, 200, 200)  # Hardcoded values
+    toonified_img, message = model.image_toonify(aligned_face, instyle, exstyle, style_degree=0.5, style_type="cartoon1")
+    return {"toonified_image": toonified_img, "message": message}
 
 app.mount("/", StaticFiles(directory="AB", html=True), name="static")