Update app.py

app.py

@@ -5,10 +5,10 @@ from PIL import Image
 import cv2  # Make sure OpenCV is available for resizing
 from fastapi.responses import JSONResponse
 from fastapi.middleware.cors import CORSMiddleware
-from slowapi import Limiter
-from slowapi import Limiter
-from slowapi.util import get_remote_address
-from slowapi.errors import RateLimitExceeded
+#from slowapi import Limiter
+#from slowapi import Limiter
+#from slowapi.util import get_remote_address
+#from slowapi.errors import RateLimitExceeded
 
 # Load your trained model
 model = tf.keras.models.load_model('recyclebot.keras')
@@ -51,8 +51,8 @@ def preprocess_image(image_file):
     
 
 @app.post("/predict")
-@limiter.limit("10/minute")
-async def predict(request: Request, file: UploadFile = File(...)):
+#@limiter.limit("10/minute")
+async def predict(file: UploadFile = File(...)):   #async def predict(request: Request, file: UploadFile = File(...)):
     try:
         img_array = preprocess_image(file.file)  # Preprocess the image
         predictions = model.predict(img_array)  # Get predictions