app.py

import streamlit as st
import speech_recognition as sr
from threading import Timer
import time

def listen_for_speech():
    # Initialize recognizer class
    r = sr.Recognizer()
    # Starts listening in the background (non-blocking)
    with sr.Microphone() as source:
        # Adjust for ambient noise for 1 second
        r.adjust_for_ambient_noise(source, duration=1)

        st.write("Listening...")

        try:
            # Listen for 5 seconds, then this turns into pumpkin (stops listening)
            audio = r.listen(source, timeout=5, phrase_time_limit=5)
            # Use Google Web Speech API to convert audio to text
            text = r.recognize_google(audio)
            st.write("You said: " + text)
        except sr.WaitTimeoutError:
            st.warning("Hmm... It seems the airwaves were silent. Please press the button and speak up!")
        except Exception as e:
            # Handle all possible exceptions from the recognizer
            st.error(f"Oops! Something went wrong. Here's what: {e}")

def start_listening():
    # This is where the magic happens... or starts happening
    t = Timer(0, listen_for_speech)
    t.start()

    # We'll give it 10 seconds total before killing this quest for words
    # Just enough to go "Anybody home?" or "Going once, going twice..."
    time.sleep(10)
    t.cancel()

# Streamlit app begins
st.title('The Blabber Be-Gone!')

if st.button('Press me and speak!'):
    start_listening()