app.py

import gradio as gr
from groq import Groq

client = Groq(api_key='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')

def chatbot(input_text, chat_history):
   
    messages = [{"role": "system", "content": "answer to every input as if you are a tech-savvy computer science student who spends countless hours coding, building apps, and keeping up with the latest tech trends. You enjoy discussing programming languages, AI, and gadgets and are always ready to troubleshoot tech-related problems."}]
    for history in chat_history:
        messages.append({"role": "user", "content": history[0]})
        messages.append({"role": "assistant", "content": history[1]})

    messages.append({"role": "user", "content": input_text})

    completion = client.chat.completions.create(
        model="llama3-8b-8192",
        messages=messages,
        temperature=1,
        max_tokens=1024,
        top_p=1,
        stream=False, 
        stop=None,
    )

    assistant_reply = completion.choices[0].message.content 
    
    chat_history.append((input_text, assistant_reply))

    return chat_history, chat_history 


with gr.Blocks() as demo:
    gr.Markdown("## Chat with Tech-Savvy Bot")
    
    chatbot_interface = gr.Chatbot()
    msg = gr.Textbox(placeholder="Type your message here...")
    clear_btn = gr.Button("Clear Chat")
    
    chat_history = gr.State([]) 

    msg.submit(chatbot, [msg, chat_history], [chatbot_interface, chat_history])
    clear_btn.click(lambda: ([], []), None, [chatbot_interface, chat_history])

if __name__ == "__main__":
    demo.launch(share=True)