app.py

import speech_recognition as sr
import matplotlib.pyplot as plt
import numpy as np
import sounddevice as sd
from textblob import TextBlob

def record_audio():
    duration = 5  # in seconds
    sample_rate = 44100  # in Hz
    channels = 1

    recording = sd.rec(int(duration * sample_rate), samplerate=sample_rate, channels=channels)
    sd.wait()

    return np.squeeze(recording)

def transcribe_audio(audio):
    r = sr.Recognizer()
    with sr.AudioFile(audio) as source:
        audio_data = r.record(source)

    return r.recognize_google(audio_data)

def get_sentiment(text):
    blob = TextBlob(text)
    sentiment = blob.sentiment.polarity

    return sentiment

def plot_sentiment(sentiment):
    plt.plot(sentiment)
    plt.xlabel("Time (s)")
    plt.ylabel("Sentiment")
    plt.show()

def main():
    audio = record_audio()
    text = transcribe_audio(audio)
    sentiment = [get_sentiment(sentence) for sentence in text.split('.')]
    plot_sentiment(sentiment)

if __name__ == "__main__":
    main()