import gradio as gr
import speech_recognition as sr

def transcribe_speech():
    # Initialize the Recognizer object
    r = sr.Recognizer()

    # Open a Microphone source
    with sr.Microphone() as source:
        # Set the recording length (in seconds)
        print("Listening...")

        # Adjust for ambient noise
        r.adjust_for_ambient_noise(source)

        # Record the sound
        audio = r.listen(source)

        try:
            # Use Google's web-based speech-to-text algorithm to convert the audio to text
            text = r.recognize_google(audio, language='en-US')
            return text

        except sr.UnknownValueError:
            print("Sorry, I can't understand you.")
            return "Sorry, I can't understand you."

        except sr.RequestError as e:
            print(f"Error: {e}")
            return f"Error: {e}"

# Define a simple greeting function for demonstration
def greet(name):
    return "Hello " + name + "!!"

# Create a Gradio interface for the transcription function
demo = gr.Interface(fn=transcribe_speech, inputs="text", outputs="text")
demo.launch()