Update app.py

app.py

@@ -63,16 +63,16 @@ with tab1:
                 col1, col2 = st.columns(2)
                 with col1:
                     st.image(image, caption="Uploaded Image", use_column_width=True)
-
-                probabilities, landmarks = process_and_predict(image, model)
-
+                
+                probabilities, landmarks = process_and_predict(image)
+                
                 if probabilities is not None and landmarks is not None:
                     with col2:
                         st.subheader("Top 5 Predictions:")
                         top_indices = np.argsort(probabilities)[::-1][:5]
                         for i in top_indices:
                             st.write(f"{model.classes_[i]}: {probabilities[i]:.2f}")
-
+                    
                     fig = plot_hand_landmarks(landmarks, "Detected Hand Landmarks")
                     st.pyplot(fig)
                 else:
@@ -96,7 +96,7 @@ with tab2:
                     try:
                         image = cv2.imread(image_path)
                         if image is not None:
-                            probabilities, landmarks = process_and_predict(image, model)
+                            probabilities, landmarks = process_and_predict(image)
                             if landmarks is not None:
                                 fig = plot_hand_landmarks(landmarks, f"Hand Landmarks for {alphabet}")
                                 st.pyplot(fig)