Update app.py

app.py

@@ -3,6 +3,8 @@ import cv2
 import openai
 import numpy as np
 import mediapipe as mp
+import tempfile
+import os
 
 # Set your OpenAI API key (or get it from user input)
 openai.api_key = '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'
@@ -42,6 +44,10 @@ def solve_math_problem_with_openai(problem):
 def main():
     st.title("Visual Math Solver with OpenAI")
 
+    # Create a placeholder for the video feed
+    stframe = st.empty()
+
+    # Start the camera when the button is clicked
     if st.button('Start'):
         st.write("Starting the camera...")
 
@@ -52,14 +58,13 @@ def main():
             st.error("Failed to open the camera. Please check your camera settings and permissions.")
             return
 
-        stframe = st.empty()
-
         # Initialize MediaPipe hands model
         with mp_hands.Hands(
             model_complexity=1,
             min_detection_confidence=0.5,
             min_tracking_confidence=0.5) as hands:
 
+            # Create a loop to keep capturing video
             while True:
                 ret, frame = cap.read()
                 if not ret:
@@ -82,13 +87,13 @@ def main():
                         gesture = detect_gesture(hand_landmarks)
                         if gesture:
                             st.write(f"Detected Gesture: {gesture}")
-                            # Implement additional logic for gestures
 
                 # Display the frame in the Streamlit app
                 stframe.image(frame, channels="BGR")
 
-                # Break the loop when the 'q' key is pressed
-                if cv2.waitKey(1) & 0xFF == ord('q'):
+                # Break the loop if the stop button is pressed
+                if st.button('Stop'):
+                    st.write("Stopping the camera...")
                     break
 
         # Release the camera resource