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import gradio as gr | |
import asyncio | |
import speech_recognition as sr | |
import logging | |
# Configure logging | |
logging.basicConfig(level=logging.INFO) | |
# 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: | |
logging.info("Listening...") | |
audio = recognizer.listen(source) | |
try: | |
query = recognizer.recognize_google(audio) | |
logging.info(f"Voice input recognized: {query}") | |
return query | |
except sr.UnknownValueError: | |
logging.error("Could not understand audio") | |
return "Could not understand audio" | |
except sr.RequestError as e: | |
logging.error(f"Could not request results; {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) | |
# Add the runtime error message to the app | |
gr.Error("runtime error\nNo @spaces.GPU function detected during startup\nContainer logs:") | |
demo.launch(show_error=True) |