app.py

import gradio as gr
from openai import OpenAI
import os
from dotenv import load_dotenv

load_dotenv()

SYSTEM_PROMPT = os.getenv("XTRNPMT")

API_BASE_URL = "https://api.featherless.ai/v1"

FEATHERLESS_API_KEY = os.getenv("FEATHERLESS_API_KEY")

FEATHERLESS_MODEL = "darkc0de/XortronCriminalComputingConfig"

if not FEATHERLESS_API_KEY:
    print("WARNING: FEATHERLESS_API_KEY environment variable is not set.")

try:
    if not FEATHERLESS_API_KEY:
        raise ValueError("FEATHERLESS_API_KEY is not set. Please set it as an environment variable or a secret in your deployment environment.")

    client = OpenAI(
        base_url=API_BASE_URL,
        api_key=FEATHERLESS_API_KEY
    )
    print(f"OpenAI client initialized with base_url: {API_BASE_URL} for Featherless AI, model: {FEATHERLESS_MODEL}")

except Exception as e:
    print(f"Error initializing OpenAI client with base_url '{API_BASE_URL}': {e}")
    raise RuntimeError(
        "Could not initialize OpenAI client. "
        f"Please check the API base URL ('{API_BASE_URL}'), your Featherless AI API key, model ID, "
        f"and ensure the server is accessible. Original error: {e}"
    )


def respond(message, history):
    """
    This function processes the user's message and the chat history to generate a response
    from the language model using the Featherless AI API (compatible with OpenAI's API),
    including a static system prompt.

    Args:
        message (str): The latest message from the user.
        history (list of lists): A list where each inner list contains a pair of
                                 [user_message, ai_message].

    Yields:
        str: The generated response token by token (for streaming).
    """
    messages = [{"role": "system", "content": SYSTEM_PROMPT}]

    for user_message, ai_message in history:
        if user_message:
            messages.append({"role": "user", "content": user_message})
        if ai_message:
            messages.append({"role": "assistant", "content": ai_message})

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

    response_text = ""

    try:
        stream = client.chat.completions.create(
            messages=messages,
            model=FEATHERLESS_MODEL,
            stream=True,
        )

        for chunk in stream:
            if chunk.choices and chunk.choices[0].delta and chunk.choices[0].delta.content is not None:
                token = chunk.choices[0].delta.content
                response_text += token
                yield response_text
            elif chunk.choices and chunk.choices[0].message and chunk.choices[0].message.content is not None:
                token = chunk.choices[0].message.content
                response_text += token
                yield response_text

    except Exception as e:
        error_message = f"An error occurred during model inference with Featherless AI: {e}"
        print(error_message)
        yield error_message


kofi_script = """
<script src='https://storage.ko-fi.com/cdn/scripts/overlay-widget.js'></script>
<script>
  kofiWidgetOverlay.draw('xortron', {
    'type': 'floating-chat',
    'floating-chat.donateButton.text': 'Support me',
    'floating-chat.donateButton.background-color': '#794bc4',
    'floating-chat.donateButton.text-color': '#fff'
  });
</script>
"""

kofi_button_html = """
<div style="text-align: center; padding: 20px;">
    <a href='https://ko-fi.com/Z8Z51E5TIG' target='_blank'>
        <img height='36' style='border:0px;height:36px;' src='https://storage.ko-fi.com/cdn/kofi5.png?v=6' border='0' alt='Buy Me a Coffee at ko-fi.com' />
    </a>
</div>
"""

donation_solicitation_html = """
<div style="text-align: center; font-size: x-small; margin-bottom: 5px;">
    The Cybernetic Criminal Computing Corporation presents: XORTRON 4.2, free of charge, unlimited, no login, no signup, no bullshit. Finding yourself in a long queue? Consider donating so we can scale and remain 100% free for all. Im sure even a low-life deadbeat freeloader like yourself can at least throw some spare change right? - Support Xortron @ ko-fi.com/xortron<br>

</div>
"""

custom_css = """
@import url('https://fonts.googleapis.com/css2?family=Orbitron:wght@400;700&display=swap');
body, .gradio-container {
    font-family: 'Orbitron', sans-serif !important;
}
.gr-button { font-family: 'Orbitron', sans-serif !important; }
.gr-input { font-family: 'Orbitron', sans-serif !important; }
.gr-label { font-family: 'Orbitron', sans-serif !important; }
.gr-chatbot .message { font-family: 'Orbitron', sans-serif !important; }
"""

with gr.Blocks(theme="Nymbo/Nymbo_Theme", head=kofi_script, css=custom_css) as demo:
    # Added the header image using gr.HTML
    gr.HTML('<img src="https://cdn-uploads.huggingface.co/production/uploads/6540a02d1389943fef4d2640/TVPNkZCjnaOwfzD4Ze9tj.png" alt="Header Image" style="display: block; margin-left: auto; margin-right: auto; max-width: 22%; height: auto;">')

    gr.ChatInterface(
        fn=respond,               # The function to call when a message is sent
        chatbot=gr.Chatbot(       # Configure the chatbot display area
            height=750,           # Set the height of the chat history display to 800px
            label="XORTRON - Criminal Computing"  # Set the label
        )
    )

    gr.HTML(donation_solicitation_html)
    gr.HTML(kofi_button_html)


if __name__ == "__main__":
    if not FEATHERLESS_API_KEY:
        print("\nCRITICAL ERROR: FEATHERLESS_API_KEY is not set.")
        print("Please ensure it's set as a secret in your Hugging Face Space settings or as an environment variable.\n")

    try:
        demo.queue(default_concurrency_limit=2)

        # CORRECTED LINE: Using show_api=False, which is the correct parameter for your Gradio version.
        demo.launch(show_api=False, share=False)
    except NameError as ne:
        print(f"Gradio demo could not be launched. 'client' might not have been initialized: {ne}")
    except RuntimeError as re:
        print(f"Gradio demo could not be launched due to an error during client initialization: {re}")
    except Exception as e:
        print(f"An unexpected error occurred when trying to launch Gradio demo: {e}")