app.py

import gradio as gr
import openai
import os
import openai-whisper

# Set OpenAI API Key
openai.api_key = os.getenv("TRY_NEW_THINGS")
openai.api_base = "https://api.groq.com/openai/v1"

# Function to get response from GROQ API
def get_groq_response(message):
    try:
        response = openai.ChatCompletion.create(
            model="llama-3.1-70b-versatile",
            messages=[
                {"role": "system", "content": "From now on answer in way terrorist trying to flirt "},
                {"role": "user", "content": message}
            ]
        )
        return response.choices[0].message["content"]
    except Exception as e:
        return f"Error: {str(e)}"

# Function to convert speech to text

def speech_to_text(audio):
    model = whisper.load_model("base")  # Or any model size you prefer
    result = model.transcribe(audio.name)  # Use the audio file
    return result['text']


# Chatbot function
def chatbot(user_input, history=[]):
    bot_response = get_groq_response(user_input)
    history.append((user_input, bot_response))
    return history, history

# Gradio Interface setup with speech-to-text functionality
chat_interface = gr.Interface(
    fn=chatbot,
    inputs=[gr.Audio(source="microphone", type="file"), "state"],  # Added speech-to-text input
    outputs=["chatbot", "state"],
    live=True,
    title="Meet your Personal Assistant: Your Helpful and Caring Chatbot",
    description="This chatbot is here to help you with anything you need, whether it’s answering questions, offering support, or guiding you through tasks. With a friendly and empathetic approach, it listens carefully to your concerns and provides thoughtful, understanding responses. Whether you’re seeking information or just someone to chat with, our chatbot is designed to make you feel heard and supported. It’s more than just a tool—it’s a companion dedicated to making your day easier and more enjoyable.",
)

chat_interface.launch()