app.py

import gradio as gr
from LLM_Handler import process_query

def handle_input(audio_file, text):
    transcript, audio_url = process_query(audio_file, text)
    return transcript, audio_url

# Gradio UI
with gr.Blocks() as demo:
    gr.Markdown("## 🎙️ AI Assistant - Text & Voice Interaction")

    with gr.Row():
        text_input = gr.Textbox(label="💬 Enter Your Query")
        audio_input = gr.Audio(type="filepath", label="🎤 Speak Your Query")

    submit_button = gr.Button("Submit")

    with gr.Row():
        transcript_output = gr.Textbox(label="📝 AI Response (Transcript)")
        audio_output = gr.Audio(label="🔊 AI Response (Audio)")

    submit_button.click(handle_input, inputs=[audio_input, text_input], outputs=[transcript_output, audio_output])

# Run the Gradio app
if __name__ == "__main__":
    demo.launch()