app.py

import gradio as gr
from langchain_groq import ChatGroq
from langchain_core.messages import HumanMessage


GROQ_API_KEY = "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"

# Initialize Groq
chat_model = ChatGroq(model_name="mixtral-8x7b-32768", api_key=GROQ_API_KEY)

def generate_response(question):
    """Generate a response using Groq."""
    try:
        input_text = f"Tell me about {question} in the context of AI-assisted language learning."
        messages = [HumanMessage(content=input_text)]
        response = chat_model.invoke(messages)
        return response.content
    except Exception as e:
        return f"An error occurred: {str(e)}"

# Create Gradio interface
iface = gr.Interface(
    fn=generate_response,
    inputs=gr.Textbox(lines=2, label="Enter a topic related to AI and language learning"),
    outputs=gr.Textbox(label="Response", lines=10),
    title="AI-Assisted Language Learning Platform",
    description="Ask about topics in AI-assisted language learning.",
)

# Launch the Gradio app
iface.launch()