app.py

import gradio as gr
import asyncio
import speech_recognition as sr

# Mock AI core for demonstration purposes
class AICore:
    async def generate_response(self, query, user_id):
        await asyncio.sleep(1)  # Simulate async processing
        return {"response": f"AI Response to: {query}"}

# Initialize the AI core
ai = AICore()

# Function to process the query and get the AI response
async def process_query(query):
    result = await ai.generate_response(query, 1)
    return result['response']

# Function to handle the text input submission
def submit_query(query, chat_history):
    if not query:
        return chat_history
    response = asyncio.run(process_query(query))
    chat_history.append({"role": "user", "content": query})
    chat_history.append({"role": "assistant", "content": response})
    return "", chat_history

# Function to handle voice input
def listen_voice_command():
    recognizer = sr.Recognizer()
    with sr.Microphone() as source:
        print("Listening...")
        audio = recognizer.listen(source)
        try:
            query = recognizer.recognize_google(audio)
            return query
        except sr.UnknownValueError:
            return "Could not understand audio"
        except sr.RequestError as e:
            return f"Could not request results; {e}"

# Gradio app
with gr.Blocks() as demo:
    chatbot = gr.Chatbot(type="messages")
    msg = gr.Textbox(label="Enter your message")
    voice_btn = gr.Button("Speak")
    clear = gr.Button("Clear")

    # Event listeners
    msg.submit(submit_query, [msg, chatbot], [msg, chatbot], queue=False)
    voice_btn.click(listen_voice_command, None, msg, queue=False)
    clear.click(lambda: None, None, chatbot, queue=False)

demo.launch(show_error=True)