app.py

import gradio as gr

def greet(name):
    return "Hello " + name + "!!"

iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()

from gradio import Interface, Textbox, Button, css

# Define the theme
theme = css.Theme(
    background="#212529",
    text_color="#f8f9fa",
    button_color="#4285f4",
    button_text_color="#ffffff",
)

# Define the UI components
input_box = Textbox(label="Input:", placeholder="Enter your text here...", theme=theme)
submit_button = Button("Submit", theme=theme)
output_box = Textbox(label="Output:", theme=theme)

# Define the function to handle the input
def handle_input(text):
    # Replace this with your actual processing logic
    output_text = f"Processed input: {text}"
    return output_text

# Create the interface
interface = Interface(
    fn=handle_input,
    inputs=[input_box, submit_button],
    outputs=[output_box],
    layout="horizontal",
    title="Dark Theme UI",
    theme=theme,
)

# Launch the interface
# interface.launch()
# import gradio as gr
# from speech_recognition import Recognizer, Microphone

# # Initialize speech recognizer
# recognizer = Recognizer()

# def speech_to_text(input_text=None):
#   """
#   Speech to text function
#   """
#   # Record audio
#   with Microphone() as source:
#     recognizer.adjust_for_ambient_noise(source)
#     audio = recognizer.listen(source)

#    # Recognize speech
#   try:
#     text = recognizer.recognize_google(audio)
#     output_text = f"You said: {text}"
#   except Exception as e:
#     print(e)
#     output_text = "Could not understand your speech. Please try again!"

#   return output_text

# # Create Gradio interface
# iface = gr.Interface(
#     fn=speech_to_text,
#     inputs=[],
#     outputs=gr.Textbox(label="Transcription"),
#     title="Speech to Text",
#     theme="dark",
# )

# # Launch the interface
# iface.launch()