app.py

import os
import cv2
import streamlit as st
import mediapipe as mp
from PIL import Image

# Initialize MediaPipe Hands
mp_hands = mp.solutions.hands
mp_drawing = mp.solutions.drawing_utils

# Streamlit App Title
st.title("Gesture & Hand Landmark Detection 🚀")
st.write("This app uses MediaPipe and OpenCV to detect hand landmarks in real-time from your webcam.")

# Start Webcam
run_webcam = st.button("Start Webcam")

# MediaPipe Hands configuration
hands = mp_hands.Hands(
    max_num_hands=2,
    min_detection_confidence=0.5,
    min_tracking_confidence=0.5,
)

# Webcam video feed
if run_webcam:
    stframe = st.empty()  # Placeholder for video frames
    cap = cv2.VideoCapture(0)  # Open the first webcam
    
    if not cap.isOpened():
        st.error("Unable to access the webcam. Please ensure it's connected and accessible.")
    else:
        while run_webcam:
            ret, frame = cap.read()
            if not ret:
                st.error("Failed to grab frame from webcam.")
                break

            # Convert frame to RGB
            frame = cv2.flip(frame, 1)  # Flip horizontally
            frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

            # Process the frame with MediaPipe Hands
            result = hands.process(frame_rgb)

            # Draw hand landmarks
            if result.multi_hand_landmarks:
                for hand_landmarks in result.multi_hand_landmarks:
                    mp_drawing.draw_landmarks(
                        frame, 
                        hand_landmarks, 
                        mp_hands.HAND_CONNECTIONS,
                        mp_drawing.DrawingSpec(color=(121, 22, 76), thickness=2, circle_radius=4),
                        mp_drawing.DrawingSpec(color=(250, 44, 250), thickness=2, circle_radius=2),
                    )

            # Convert back to BGR for OpenCV display
            frame_bgr = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)

            # Display frame in Streamlit
            stframe.image(frame_bgr, channels="BGR", use_column_width=True)

        cap.release()

hands.close()
st.write("Webcam stopped.")