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import os
import openai
import gradio as gr
import speech_recognition as sr
from gtts import gTTS
from tempfile import NamedTemporaryFile
openai.api_key = os.getenv("OPENAI_API_KEY")
# Initialize the speech recognition engine
recognizer = sr.Recognizer()
# Set up for speech-to-text (STT)
def recognize_speech_from_microphone():
with sr.Microphone() as source:
print("Listening...")
audio = recognizer.listen(source)
try:
print("Recognizing...")
return recognizer.recognize_google(audio)
except sr.UnknownValueError:
return "Sorry, I could not understand what you said."
except sr.RequestError:
return "Sorry, the service is down."
# Text to Speech (TTS) function using gTTS
def speak_text(text):
with NamedTemporaryFile(delete=False, suffix='.mp3') as temp_file:
temp_file.close()
tts = gTTS(text=text, lang='en')
tts.save(temp_file.name)
return temp_file.name
# GPT-4o Q&A function
def chat_with_gpt4o(message):
if not message:
return "Please say something."
response = openai.ChatCompletion.create(
model="gpt-4o",
messages=[
{"role": "system", "content": "You are a smart, friendly AI interviewer. Ask one question at a time."},
{"role": "user", "content": message}
]
)
reply = response.choices[0].message["content"]
return reply
# Main interface function for Gradio
def chat_and_speak(message):
# Get GPT response
reply = chat_with_gpt4o(message)
# Convert text to speech
audio_path = speak_text(reply)
return reply, audio_path
# Create the Gradio Interface
iface = gr.Interface(
fn=chat_and_speak,
inputs=gr.Textbox(placeholder="Say something..."),
outputs=[gr.Textbox(label="AI Interviewer Response"), gr.Audio(label="Bot's Response")],
title="🎤 AI Interview Bot",
description="Talk to a GPT-4o powered AI Interviewer. One-on-one style.",
live=True
)
if __name__ == "__main__":
iface.launch()
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