Delete app.py

app.py

@@ -1,108 +0,0 @@
-import streamlit as st
-from streamlit_webrtc import webrtc_streamer, WebRtcMode
-import numpy as np
-import av
-import queue
-import threading
-from typing import List, NamedTuple
-import time
-
-# Audio recording class
-class AudioFrame(NamedTuple):
-    data: np.ndarray
-    timestamp: float
-
-# Global variables for recording state
-AUDIO_BUFFER: queue.Queue = queue.Queue()
-RECORDING = False
-AUDIO_FRAMES: List[AudioFrame] = []
-
-def main():
-    st.title("Audio Recorder App")
-    
-    # Add description
-    st.write("Click 'Start' to begin recording audio")
-    
-    # Create a placeholder for status messages
-    status_placeholder = st.empty()
-    
-    # Recording controls
-    col1, col2 = st.columns(2)
-    with col1:
-        start_button = st.button("Start Recording")
-    with col2:
-        stop_button = st.button("Stop Recording")
-    
-    def audio_callback(frame: av.AudioFrame) -> av.AudioFrame:
-        global RECORDING, AUDIO_FRAMES
-        
-        if RECORDING:
-            # Convert audio frame to numpy array
-            audio_data = frame.to_ndarray()
-            timestamp = time.time()
-            AUDIO_FRAMES.append(AudioFrame(audio_data, timestamp))
-            
-            # Update status
-            status_placeholder.info(f"Recording... Duration: {len(AUDIO_FRAMES) * 0.02:.1f}s")
-        
-        return frame
-    
-    # Initialize WebRTC component
-    ctx = webrtc_streamer(
-        key="audio-recorder",
-        mode=WebRtcMode.SENDONLY,
-        audio_receiver_size=256,
-        rtc_configuration={
-            "iceServers": [{"urls": ["stun:stun.l.google.com:19302"]}]
-        },
-        media_stream_constraints={"video": False, "audio": True},
-        audio_callback=audio_callback,
-    )
-    
-    # Handle recording controls
-    if start_button:
-        RECORDING = True
-        AUDIO_FRAMES.clear()
-        status_placeholder.info("Starting recording...")
-    
-    if stop_button:
-        RECORDING = False
-        if len(AUDIO_FRAMES) > 0:
-            # Combine all audio frames
-            all_audio = np.concatenate([frame.data for frame in AUDIO_FRAMES])
-            
-            # Save as numpy array
-            np.save("recorded_audio.npy", all_audio)
-            
-            # Show success message
-            status_placeholder.success(f"Recording saved! Duration: {len(AUDIO_FRAMES) * 0.02:.1f} seconds")
-            
-            # Add download button for the numpy array
-            with open("recorded_audio.npy", "rb") as file:
-                st.download_button(
-                    label="Download Recording",
-                    data=file,
-                    file_name="recorded_audio.npy",
-                    mime="application/octet-stream"
-                )
-        else:
-            status_placeholder.warning("No audio recorded")
-    
-    # Add instructions
-    with st.expander("How to use"):
-        st.markdown("""
-        1. Allow microphone access when prompted
-        2. Click 'Start Recording' to begin
-        3. Speak into your microphone
-        4. Click 'Stop Recording' when finished
-        5. Use the download button to save your recording
-        
-        Note: You may need to click 'Start' in the WebRTC player above first.
-        """)
-    
-    # Add requirements info
-    st.markdown("---")
-    st.caption("Required packages: streamlit-webrtc, numpy, av")
-
-if __name__ == "__main__":
-    main()