Update app.py

app.py

@@ -20,25 +20,22 @@ image = PIL.Image.open(img)
 file=model+'_'+pre+'.skops'
 loaded_model = sio.load(file)
 predictions = loaded_model.predict(single_image(image,pre))
-end_time = time.time()  # Record end time
-elapsed_time_microseconds = (end_time - start_time) * 1_000_000_000  # Calculate elapsed time in microseconds
+end_time = time.time()  
+elapsed_time_microseconds = (end_time - start_time) * 1_000_000_000  
 
-    return f"{elapsed_time_microseconds/factor:.2f} ns",f"{elapsed_time_microseconds/1000:.2f} μs",factor, result
-    return result
+    return  predictions,(end_time - start_time) * 1_000_000_000
 
 
-# Create a Gradio interface
 interface = gr.Interface(
-    fn=Classify,  # Reference to the function
+    fn=Classify,  
     inputs=[
        gr.Image(type="filepath"),
         gr.Radio(
-            ["rgb", "hsv", "BoVW"],
+            ["rgb", "hsv", "sift"],
             label="Preprocessing",
             info="Choose one" 
         )  
-        # Input for sorting methodgr.Radio(
-            ["DT", "RF", "XGBoost"],
+            ["dt", "rf", "gb"],
             label="ML Model",
             info="Choose one"  
         )