Update app.py

app.py

@@ -1,5 +1,3 @@
-import numpy as np
-import pyaudio
 import speech_recognition as sr
 from sentiment_analysis import analyze_sentiment
 from product_recommender import ProductRecommender
@@ -14,37 +12,13 @@ from googleapiclient.discovery import build
 import pandas as pd
 import plotly.express as px
 import plotly.graph_objs as go
-import streamlit as st 
+import streamlit as st
+
 
 # Initialize components
 objection_handler = ObjectionHandler('objections.csv')
 product_recommender = ProductRecommender('recommendations.csv')
 model = SentenceTransformer('all-MiniLM-L6-v2')
-
-def record_audio(duration=5, sample_rate=16000):
-    """
-    Record audio using PyAudio and return as NumPy array
-    """
-    p = pyaudio.PyAudio()
-    stream = p.open(format=pyaudio.paFloat32,
-                    channels=1,
-                    rate=sample_rate,
-                    input=True,
-                    frames_per_buffer=1024)
-    
-    st.write("Recording...")
-    frames = []
-    for _ in range(0, int(sample_rate / 1024 * duration)):
-        data = stream.read(1024)
-        frames.append(np.frombuffer(data, dtype=np.float32))
-    
-    stream.stop_stream()
-    stream.close()
-    p.terminate()
-    
-    st.write("Recording finished.")
-    audio_data = np.concatenate(frames)
-    return audio_data, sample_rate
     
 def numpy_to_audio_data(audio_data):
     """