app.py

import gradio as gr
from huggingface_hub import InferenceClient

# Initialize the client
client = InferenceClient("davnas/Italian_Cousine_2.1")

def respond(message, history: list[tuple[str, str]], system_message, max_tokens, temperature, top_p):
    # Format the prompt including history and system message
    prompt = ""
    
    # Add system message if provided
    if system_message:
        prompt = f"{system_message}\n"
    
    # Add conversation history
    for user_msg, assistant_msg in history:
        prompt += f"User: {user_msg}\nAssistant: {assistant_msg}\n"
    
    # Add current message
    prompt += f"User: {message}\nAssistant:"
    
    response = ""
    # Stream the response
    for token in client.text_generation(
        prompt,
        max_new_tokens=max_tokens,
        stream=True,
        temperature=temperature,
        top_p=top_p,
    ):
        response += token
        yield response

# Create the interface
demo = 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)"
        ),
    ]
)

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