app.py

import os
import gradio as gr
from multimodal_module import MultiModalChatModule
import asyncio

# Initialize module
mm = MultiModalChatModule()

# Environment configuration
os.environ["HF_HUB_DISABLE_TELEMETRY"] = "1"
os.environ["TOKENIZERS_PARALLELISM"] = "false"

async def async_wrapper(fn, *args):
    """Handle async calls from Gradio"""
    return await fn(*args)

def process_voice(audio, user_id):
    return asyncio.run(async_wrapper(mm.process_voice_message, audio, int(user_id)))

def process_image(image, user_id):
    return asyncio.run(async_wrapper(mm.process_image_message, image, int(user_id)))

def chat(text, user_id, lang):
    return asyncio.run(async_wrapper(mm.generate_response, text, int(user_id), lang))

def generate_image(prompt, user_id):
    return asyncio.run(async_wrapper(
        mm.generate_image_from_text, 
        prompt, 
        int(user_id)
    ))

with gr.Blocks(title="Multimodal AI Assistant") as app:
    gr.Markdown("## 🚀 Multimodal AI Assistant")
    
    with gr.Tab("💬 Text Chat"):
        with gr.Row():
            user_id = gr.Textbox(label="User ID", value="123")
            lang = gr.Dropdown(["en", "es", "fr", "de"], label="Language", value="en")
        chat_input = gr.Textbox(label="Your Message")
        chat_output = gr.Textbox(label="AI Response", interactive=False)
        chat_btn = gr.Button("Send")
    
    with gr.Tab("🎙️ Voice"):
        voice_input = gr.Audio(sources=["microphone", "upload"], type="filepath")
        voice_user = gr.Textbox(label="User ID", value="123")
        voice_output = gr.JSON(label="Analysis Results")
        voice_btn = gr.Button("Process")
    
    with gr.Tab("🖼️ Images"):
        with gr.Tab("Describe"):
            img_input = gr.Image(type="filepath")
            img_user = gr.Textbox(label="User ID", value="123")
            img_output = gr.Textbox(label="Description")
            img_btn = gr.Button("Describe")
        
        with gr.Tab("Generate"):
            gen_prompt = gr.Textbox(label="Prompt")
            gen_user = gr.Textbox(label="User ID", value="123")
            gen_output = gr.Image(label="Generated Image")
            gen_btn = gr.Button("Generate")
    
    # Event handlers
    chat_btn.click(chat, [chat_input, user_id, lang], chat_output)
    voice_btn.click(process_voice, [voice_input, voice_user], voice_output)
    img_btn.click(process_image, [img_input, img_user], img_output)
    gen_btn.click(generate_image, [gen_prompt, gen_user], gen_output)

if __name__ == "__main__":
    app.launch(
        server_name="0.0.0.0",
        server_port=7860,
        share=False
    )