Create app.py

app.py

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+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()