Update app.py

app.py

@@ -3,7 +3,7 @@ import numpy as np
 import streamlit as st
 from PIL import Image
 
-st.title("OpenCV Image Input with Streamlit")
+st.title("Custom_Hand_Gesture_Recognition_using_Mediapipe")
 
 uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "png", "jpeg"])
 
@@ -18,7 +18,7 @@ if uploaded_file is not None:
     img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
 
         # Display the image using OpenCV (cv2.imshow does not work in Streamlit)
-    st.image(opencv_image, channels="BGR")
+    st.image(img, channels="BGR")
     mp_hands = mp.solutions.hands
 
 # Now second step is to set the hands function which will hold the landmarks points