app.py

import gradio as gr
from openai import OpenAI

from openai import OpenAI
from os import getenv

client = OpenAI(
  base_url="https://openrouter.ai/api/v1",
  api_key=getenv("OPENROUTER_API_KEY"),
)

def respond(
    message,
    history: list[tuple[str, str]],
    system_message,
    # max_tokens,
    # temperature,
    # top_p,
):
    messages = [{"role": "system", "content": system_message}]

    for val in history:
        if val[0]:
            messages.append({"role": "user", "content": val[0]})
        if val[1]:
            messages.append({"role": "assistant", "content": val[1]})

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

    response = ""
    completion = client.chat.completions.create(
        model="nvidia/llama-3.1-nemotron-70b-instruct",
        messages=messages,
        stream=True,
        # temperature=temperature,
        # top_p=top_p,
        # max_tokens=max_tokens,
    )

    for message in completion:
        token = message.choices[0].delta.content

        response += token
        yield response


"""
For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
"""
with gr.Blocks() as demo:
    credentials = gr.State("")

    print("CREDENTIALS:")
    print(credentials)
    @gr.render(inputs=credentials)
    def app(app_credentials):
        if app_credentials == getenv("PASSWORD"):
            gr.ChatInterface(
                respond,
                additional_inputs=[
                    gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
                    # gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
                    # gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
                    # gr.Slider(
                    #     minimum=0.1,
                    #     maximum=1.0,
                    #     value=0.95,
                    #     step=0.05,
                    #     label="Top-p (nucleus sampling)",
                    # ),
                ],
                chatbot=gr.Chatbot(height=400)
            )
        else:
            password = gr.Textbox(placeholder="Provide password...")
        
            def set_password(password):
                return password
        
            gr.Button("Login").click(set_password, [password], credentials)


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