Update main.py

main.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 from fastapi import FastAPI, File, UploadFile
-from fastapi.responses import HTMLResponse
+from fastapi.responses import FileResponse, StreamingResponse
 from fastapi.staticfiles import StaticFiles
 import shutil
 from io import BytesIO
@@ -13,26 +13,27 @@ import pathlib
 from vtoonify_model import Model
 
 app = FastAPI()
+model = Model(device='cuda' if torch.cuda.is_available() else 'cpu')
 
+@app.post("/process_image")
+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')
 
-model = cartoon1(device='cuda' if torch.cuda.is_available() else 'cpu')
+    # Process the uploaded image
+    aligned_face, _, input_info = model.detect_and_align_image("uploaded_image.jpg", padding_params=[200, 200, 200, 200])
+    result_face, output_info = model.image_toonify(aligned_face, exstyle, 'cartoon1', style_degree=0.5)
 
-def generate_cartoon(image_bytes: bytes) -> bytes:
-    image = Image.open(BytesIO(image_bytes))
-    cartoon_image = model.generate_cartoon(image)
-    with BytesIO() as output:
-        cartoon_image.save(output, format="PNG")
-        return output.getvalue()
-
-@app.post("/upload/")
-async def upload_image(file: UploadFile = File(...)):
-    contents = await file.read()
-    result_bytes = generate_cartoon(contents)
-    return {"result": result_bytes}
+    # Return the processed image
+    return FileResponse("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")
+