Create frontend skeleton

index.py

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+import streamlit as st
+import cv2
+# import pandas as pd
+# import numpy as np
+def main():
+    st.title('NouriScan')
+
+    st.sidebar.header('Ingredients & Nutrition')
+    
+
+    option1 = st.sidebar.checkbox('Banana')
+    option2 = st.sidebar.checkbox('Strawberry')
+    option3 = st.sidebar.checkbox('Kale')
+    option4 = st.sidebar.checkbox('Orange Juice')
+    option5 = st.sidebar.checkbox('Almond Milk')
+    button_clicked = st.sidebar.button('Done')
+    if not button_clicked:
+        videoCapture()
+    if button_clicked:
+        displayRecipes()
+
+def displayRecipes():
+    items = [
+    {"title": "Item 1", "content": "Content for Item 1."},
+    {"title": "Item 2", "content": "Content for Item 2."},
+    {"title": "Item 3", "content": "Content for Item 3."}
+    ]
+
+    # Display the items with expanding boxes
+    for item in items:
+        with st.expander(item["title"]):
+            st.write(item["content"])
+
+    
+
+def videoCapture():
+    
+    # Create a VideoCapture object to access the webcam
+    cap = cv2.VideoCapture(0)
+
+    # Set the video frame width and height (optional)
+    cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
+    cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)
+
+    # Check if the webcam is opened correctly
+    if not cap.isOpened():
+        st.error("Error: Unable to access the webcam.")
+        return
+
+    # Display a placeholder for the video stream
+    video_placeholder = st.empty()
+
+    while True:
+        # Read a frame from the webcam
+        ret, frame = cap.read()
+
+        if not ret:
+            st.error("Error: Unable to read frame from the webcam.")
+            break
+
+        # Display the frame in the Streamlit app
+        video_placeholder.image(frame, channels="BGR", use_column_width=True)
+
+        # Check if the user pressed the 'q' key to quit
+        if cv2.waitKey(1) & 0xFF == ord('q'):
+            break
+
+    # Release the VideoCapture and close the OpenCV window
+    cap.release()
+    cv2.destroyAllWindows()
+    
+
+
+
+if __name__ == '__main__':
+    main()