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import gradio as gr | |
from utils.stt import speech_to_text | |
from utils.nlp import process_query | |
from utils.tts import text_to_speech | |
# Load intents and other configurations | |
import json | |
with open("intents.json", "r") as f: | |
intents = json.load(f) | |
def voice_agent(audio): | |
# Step 1: Convert speech to text | |
query = speech_to_text(audio) | |
# Step 2: Process the query and get a response | |
response = process_query(query, intents) | |
# Step 3: Convert the response to speech | |
audio_response = text_to_speech(response) | |
return response, audio_response | |
# Gradio interface | |
interface = gr.Interface( | |
fn=voice_agent, | |
inputs=gr.Audio(source="microphone", type="filepath"), | |
outputs=[ | |
gr.Textbox(label="Agent Response"), | |
gr.Audio(label="Voice Response") | |
], | |
title="Hotel Booking Voice Agent" | |
) | |
if __name__ == "__main__": | |
interface.launch() | |