Upload main (24).py

main (24).py

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+from __future__ import annotations
+from fastapi import FastAPI, File, UploadFile
+from fastapi.responses import FileResponse
+from fastapi.staticfiles import StaticFiles
+import shutil
+import torch
+
+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, exstyle, style_type = 'cartoon1' , style_degree=0.5)
+
+    # 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")
+
+
+