app.py

import gradio as gr
import edge_tts
import asyncio
import tempfile
import os
from huggingface_hub import InferenceClient
import re
from streaming_stt_nemo import Model
import torch
import random
import pandas as pd
from datetime import datetime
import base64
import io

# ... (previous imports and functions remain the same)

def download_history():
    csv_buffer = io.StringIO()
    history_df.to_csv(csv_buffer, index=False)
    csv_string = csv_buffer.getvalue()
    b64 = base64.b64encode(csv_string.encode()).decode()
    href = f'data:text/csv;base64,{b64}'
    return href

DESCRIPTION = """ # <center><b>JARVIS⚡</b></center>
        ### <center>A personal Assistant of Tony Stark for YOU
        ### <center>Voice Chat with your personal Assistant</center>
        """

with gr.Blocks(css="style.css") as demo:    
    gr.Markdown(DESCRIPTION)
    with gr.Row():
        select = gr.Dropdown([
            'Mixtral 8x7B',
            'Llama 3 8B',
            'Mistral 7B v0.3',
            'Phi 3 mini',
        ],
        value="Mistral 7B v0.3",
        label="Model"
        )
        seed = gr.Slider(
            label="Seed",
            minimum=0,
            maximum=999999,
            step=1,
            value=0,
            visible=False
        )
    
    input_audio = gr.Audio(label="User", sources="microphone", type="filepath")
    output_audio = gr.Audio(label="AI", type="filepath", autoplay=True)
    
    # Add a DataFrame to display the history
    history_display = gr.DataFrame(label="Query History")
    
    # Add a download button for the history
    download_button = gr.Button("Download History")
    download_link = gr.HTML()
    
    demo.load(fn=lambda: gr.update(visible=True), outputs=[download_button])
    
    def process_audio(audio, model, seed):
        response = asyncio.run(respond(audio, model, seed))
        return next(response)
    
    input_audio.change(
        fn=process_audio,
        inputs=[input_audio, select, seed],
        outputs=[output_audio]
    )
    
    # Update the history display after each interaction
    output_audio.change(fn=display_history, outputs=[history_display])
    
    # Connect the download button to the download function
    download_button.click(fn=download_history, outputs=[download_link])

if __name__ == "__main__":
    demo.queue(max_size=200).launch(share=True)