Delete pages/1_📷️_Live_Stream.py

pages/1_📷️_Live_Stream.py

@@ -1,68 +0,0 @@
-import av
-import os
-import sys
-import streamlit as st
-from streamlit_webrtc import VideoHTMLAttributes, webrtc_streamer
-from aiortc.contrib.media import MediaRecorder
-
-
-BASE_DIR = os.path.abspath(os.path.join(__file__, '../../'))
-sys.path.append(BASE_DIR)
-
-
-from utils import get_mediapipe_pose
-from process_frame import ProcessFrame
-from thresholds import get_thresholds_beginner, get_thresholds_pro
-
-
-st.title('Anju AI Fitness Trainer')
-
-mode = st.radio('Select Mode', ['Beginner', 'Pro'], horizontal=True)
-
-thresholds = None 
-
-if mode == 'Beginner':
-    thresholds = get_thresholds_beginner()
-
-elif mode == 'Pro':
-    thresholds = get_thresholds_pro()
-
-
-live_process_frame = ProcessFrame(thresholds=thresholds, flip_frame=True)
-# Initialize face mesh solution
-pose = get_mediapipe_pose()
-
-
-if 'download' not in st.session_state:
-    st.session_state['download'] = False
-
-output_video_file = f'output_live.flv'
-
-  
-
-def video_frame_callback(frame: av.VideoFrame):
-    frame = frame.to_ndarray(format="rgb24")  # Decode and get RGB frame
-    frame, _ = live_process_frame.process(frame, pose)  # Process frame
-    return av.VideoFrame.from_ndarray(frame, format="rgb24")  # Encode and return BGR frame
-
-
-def out_recorder_factory() -> MediaRecorder:
-        return MediaRecorder(output_video_file)
-
-
-ctx = webrtc_streamer(
-                        key="Squats-pose-analysis",
-                        video_frame_callback=video_frame_callback,
-                        rtc_configuration={"iceServers": [{"urls": ["stun:stun.l.google.com:19302"]}]},  # Add this config
-                        media_stream_constraints={"video": {"width": {'min':480, 'ideal':480}}, "audio": False},
-                        video_html_attrs=VideoHTMLAttributes(autoPlay=True, controls=False, muted=False),
-                        out_recorder_factory=None
-                    )
-
-
-
-
-
-    
-
-