app.py

import streamlit as st
import cv2
import numpy as np
import tempfile
import os
import time
from pose_detector import PoseDetector
from dance_generator import DanceGenerator
from dance_visualizer import DanceVisualizer

class AIDancePartner:
    def __init__(self):
        self.pose_detector = PoseDetector()
        self.dance_generator = DanceGenerator()
        self.visualizer = DanceVisualizer()
        
    def setup_ui(self):
        st.title("AI Dance Partner 💃🤖")
        st.sidebar.header("Controls")
        
        # Upload video section
        video_file = st.sidebar.file_uploader(
            "Upload your dance video", 
            type=['mp4', 'avi', 'mov']
        )
        
        # Mode selection
        mode = st.sidebar.selectbox(
            "Select Mode",
            ["Sync Partner", "Generate New Moves"]
        )
        
        # Add playback controls
        play_speed = st.sidebar.slider("Playback Speed", 0.1, 2.0, 1.0, 0.1)
        
        # Add play/pause button
        is_playing = st.sidebar.button("Play/Pause")
        
        if video_file:
            self.process_video(video_file, mode, play_speed, is_playing)

    def process_video(self, video_file, mode, play_speed, is_playing):
        # Create a placeholder for the video
        video_placeholder = st.empty()
        
        # Create temporary file
        tfile = tempfile.NamedTemporaryFile(delete=False)
        tfile.write(video_file.read())
        
        # Open video file
        cap = cv2.VideoCapture(tfile.name)
        
        # Get video properties
        fps = cap.get(cv2.CAP_PROP_FPS)
        frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
        frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
        total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
        
        # Initialize progress bar
        progress_bar = st.progress(0)
        
        # Store video frames and AI sequences
        frames = []
        ai_sequences = []
        
        # Pre-process video
        with st.spinner('Processing video...'):
            while cap.isOpened():
                ret, frame = cap.read()
                if not ret:
                    break
                    
                pose_landmarks = self.pose_detector.detect_pose(frame)
                ai_frame = self.dance_generator.generate_dance_sequence(
                    [pose_landmarks], 
                    mode, 
                    1,
                    (frame_height, frame_width)
                )[0]
                
                frames.append(frame)
                ai_sequences.append(ai_frame)
        
        # Playback loop
        frame_count = 0
        play = True if is_playing else False
        
        while True:
            if play:
                if frame_count >= len(frames):
                    frame_count = 0
                    
                # Get current frames
                frame = frames[frame_count]
                ai_frame = ai_sequences[frame_count]
                
                # Combine frames side by side
                combined_frame = np.hstack([
                    frame,
                    cv2.resize(ai_frame, (frame_width, frame_height))
                ])
                
                # Update progress
                progress = frame_count / total_frames
                progress_bar.progress(progress)
                
                # Display frame
                video_placeholder.image(
                    combined_frame,
                    channels="BGR",
                    use_container_width=True
                )
                
                # Control playback speed
                time.sleep(1 / (fps * play_speed))
                frame_count += 1
                
            # Check for play/pause button
            if st.sidebar.button("Stop"):
                break
                
            # Add replay button
            if frame_count >= len(frames):
                if st.sidebar.button("Replay"):
                    frame_count = 0
        
        # Cleanup
        cap.release()
        os.unlink(tfile.name)

def main():
    app = AIDancePartner()
    app.setup_ui()

if __name__ == "__main__":
    main()