app.py

import os
import gradio as gr
from huggingface_hub import InferenceClient

# Initialize the InferenceClient with DeepHat model via featherless-ai provider
client = InferenceClient(
    model="DeepHat/DeepHat-V1-7B",
    token=os.environ.get("HF_TOKEN"),
    provider="featherless-ai"
)

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 = ""

    try:
        for msg in client.chat_completion(
            messages,
            max_tokens=max_tokens,
            stream=True,
            temperature=temperature,
            top_p=top_p,
        ):
            token = msg.choices[0].delta.content
            if token:
                response += token
                yield response
    except Exception as e:
        yield f"An error occurred: {str(e)}"

# Define the system message with a cybersecurity focus
system_message = (
    "You are a cybersecurity expert chatbot, providing assistance on penetration testing, ransomware analysis, and code classification. "
    "Your responses should be concise, accurate, and tailored to cybersecurity professionals."
)

# Create the Gradio ChatInterface
demo = gr.ChatInterface(
    fn=respond,
    additional_inputs=[
        gr.Textbox(value=system_message, 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)"),
    ],
    title="WhiteRabbitNeo Cybersecurity Assistant",
    description="A cybersecurity expert chatbot for penetration testing, ransomware analysis, and code classification.",
    theme=gr.themes.Soft(),
)

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