Update app.py

app.py

@@ -2,12 +2,7 @@ import streamlit as st
 import numpy as np
 from PIL import Image
 import mediapipe as mp
-
-# Try importing OpenCV and handle ImportError
-try:
-    import cv2
-except ImportError:
-    st.error("OpenCV is not installed. Please check the requirements.")
+import cv2
 
 # Initialize MediaPipe
 mp_hands = mp.solutions.hands
@@ -45,17 +40,32 @@ def process_hand(image):
 
 # Streamlit Interface
 st.title("AI Sign Language Interpreter")
-st.write("Make a thumbs up or thumbs down gesture in front of your camera.")
+st.write("Make a thumbs up or thumbs down gesture in front of your camera, or upload an image.")
+
+# Use Streamlit's built-in camera input
+video_input = st.camera_input("Take a picture with your webcam")
 
-# Button to start webcam
-if st.button("Start Webcam"):
-    # Use Streamlit's built-in camera input
-    video_input = st.camera_input("Camera Input")
+if video_input is not None:
+    # Read the video input
+    image = Image.open(video_input)
+    # Convert the image to a numpy array
+    image_np = np.array(image)
+    
+    # Process the hand gesture
+    processed_image = process_hand(image_np)
+    
+    # Display the processed output
+    st.image(cv2.cvtColor(processed_image, cv2.COLOR_BGR2RGB), caption="Processed Output", use_column_width=True)
+
+# Upload image section
+uploaded_file = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
+
+if uploaded_file is not None:
+    uploaded_image = Image.open(uploaded_file)
+    uploaded_image_np = np.array(uploaded_image)
+    
+    # Process the hand gesture
+    processed_uploaded_image = process_hand(uploaded_image_np)
     
-    if video_input is not None:
-        # Read the video input
-        image = Image.open(video_input)
-        processed_image = process_hand(np.array(image))
-        
-        # Display the processed output
-        st.image(cv2.cvtColor(processed_image, cv2.COLOR_BGR2RGB), caption="Processed Output", use_column_width=True)
+    # Display the processed output
+    st.image(cv2.cvtColor(processed_uploaded_image, cv2.COLOR_BGR2RGB), caption="Processed Uploaded Image", use_column_width=True)