Update requirements.txt

requirements.txt

@@ -1,94 +1,14 @@
-import streamlit as st
-import requests
-import base64
-import json
-from io import BytesIO
-import numpy as np
-from audio_recorder_streamlit import audio_recorder
-
-def convert_audio_to_base64(audio_bytes):
-    """Convert audio bytes to base64 string"""
-    if audio_bytes is None:
-        return None
-    base64_str = base64.b64encode(audio_bytes).decode('utf-8')
-    return f"data:audio/webm;codecs=opus;base64,{base64_str}"
-
-def query_prediction_api(audio_base64):
-    """Send request to prediction API"""
-    url = "http://localhost:3000/api/v1/prediction/<chatlfowid>"
-    
-    payload = {
-        "uploads": [
-            {
-                "data": audio_base64,
-                "type": "audio",
-                "name": "audio.wav",
-                "mime": "audio/webm"
-            }
-        ]
-    }
-    
-    try:
-        response = requests.post(
-            url,
-            headers={"Content-Type": "application/json"},
-            json=payload
-        )
-        response.raise_for_status()
-        return response.json()
-    except requests.exceptions.RequestException as e:
-        st.error(f"Error making prediction: {str(e)}")
-        return None
-
-def main():
-    st.title("Audio Prediction App")
-    st.write("Record or upload audio to get predictions")
-    
-    # Add tabs for different input methods
-    tab1, tab2 = st.tabs(["Record Audio", "Upload Audio"])
-    
-    with tab1:
-        st.write("Click the button below to record audio")
-        audio_bytes = audio_recorder()
-        
-        if audio_bytes:
-            st.audio(audio_bytes, format="audio/webm")
-            
-            if st.button("Get Prediction for Recorded Audio"):
-                with st.spinner("Getting prediction..."):
-                    audio_base64 = convert_audio_to_base64(audio_bytes)
-                    if audio_base64:
-                        prediction = query_prediction_api(audio_base64)
-                        if prediction:
-                            st.json(prediction)
-    
-    with tab2:
-        uploaded_file = st.file_uploader("Choose an audio file", type=['wav', 'mp3', 'webm'])
-        
-        if uploaded_file:
-            audio_bytes = uploaded_file.read()
-            st.audio(audio_bytes)
-            
-            if st.button("Get Prediction for Uploaded Audio"):
-                with st.spinner("Getting prediction..."):
-                    audio_base64 = convert_audio_to_base64(audio_bytes)
-                    if audio_base64:
-                        prediction = query_prediction_api(audio_base64)
-                        if prediction:
-                            st.json(prediction)
-
-    st.sidebar.markdown("""
-    ### About
-    This app allows you to:
-    - Record audio directly in the browser
-    - Upload audio files
-    - Get predictions from the API
-    
-    Supported formats:
-    - WAV
-    - MP3
-    - WebM
-    """)
-
-if __name__ == "__main__":
-    main()
+# Core dependencies
+streamlit>=1.28.0
+requests>=2.31.0
+audio-recorder-streamlit>=0.0.8
+python-dotenv>=1.0.0
+numpy>=1.24.0
+
+# Audio processing
+pydub>=0.25.1
+
+# Development dependencies
+black>=23.10.0      # Code formatting
+flake8>=6.1.0       # Code linting
+pytest>=7.4.3       # Testing