Delete app.py

app.py

@@ -1,42 +0,0 @@
-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()