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import gradio as gr | |
import openai | |
import speech_recognition as sr | |
# Set your OpenAI API key here | |
openai.api_key = "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" | |
def speech_to_text(audio): | |
recognizer = sr.Recognizer() | |
with sr.AudioFile(audio.name) as source: | |
audio_data = recognizer.record(source) | |
try: | |
text = recognizer.recognize_google(audio_data) | |
return text | |
except sr.UnknownValueError: | |
return "Sorry, I could not understand the audio." | |
except sr.RequestError: | |
return "Could not request results from Google Speech Recognition service." | |
def text_to_ai_response(text): | |
response = openai.Completion.create( | |
engine="text-davinci-003", | |
prompt=text, | |
max_tokens=200 | |
) | |
return response.choices[0].text.strip() | |
# Interface for Gradio | |
interface = gr.Interface( | |
fn=lambda audio: text_to_ai_response(speech_to_text(audio)), | |
inputs="audio", # Correct input type | |
outputs="text", # Correct output type | |
title="Voice AI Agent", | |
description="An AI-powered voice assistant powered by OpenAI and Gradio." | |
) | |
interface.launch() |