First commit

app.py

@@ -0,0 +1,55 @@
+import streamlit as st
+import speech_recognition as sr
+ 
+def speech_recognition():
+    """
+    Function to create a Streamlit application for real-time speech recognition.
+ 
+    This function uses the SpeechRecognition library to capture audio from the user's microphone
+    and convert it to text using a speech recognition engine.
+ 
+    The recognized text is displayed on the Streamlit application.
+ 
+    Returns:
+    - None
+    """
+ 
+    # Create a Streamlit application
+    st.title("Real-time Speech Recognition")
+ 
+    # Create a speech recognizer object
+    recognizer = sr.Recognizer()
+ 
+    # Create a microphone object
+    microphone = sr.Microphone()
+ 
+    # Start the microphone input
+    with microphone as source:
+        st.info("Listening...")
+ 
+        # Adjust microphone energy threshold to ambient noise for better recognition
+        recognizer.adjust_for_ambient_noise(source)
+ 
+        # Continuously listen for audio and convert it to text
+        while True:
+            try:
+                # Listen for audio input
+                audio = recognizer.listen(source)
+ 
+                # Recognize the audio and convert it to text
+                text = recognizer.recognize_google(audio)
+ 
+                # Display the recognized text on the Streamlit application
+                st.write("You said:", text)
+ 
+            except sr.UnknownValueError:
+                # If the speech recognizer could not understand the audio
+                st.warning("Could not understand audio")
+ 
+            except sr.RequestError as e:
+                # If there was an error with the speech recognition service
+                st.error(f"Error: {e}")
+ 
+# Run the speech recognition function when the script is executed
+if __name__ == "__main__":
+    speech_recognition()

packages.txt

@@ -0,0 +1 @@
+ffmpeg

requirements.txt

@@ -0,0 +1,8 @@
+requests
+python-dotenv
+transformers
+streamlit
+torch
+datasets
+IPython
+torchaudio