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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('sonnydesorbo', {
'type': 'floating-chat',
'floating-chat.donateButton.text': 'Support me',
'floating-chat.donateButton.background-color': '#00b9fe',
'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, free of charge, unlimited, no login, no signup, no bullshit. 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="dark", head=kofi_script, css=custom_css) as demo:
gr.ChatInterface(
fn=respond, # The function to call when a message is sent
chatbot=gr.Chatbot( # Configure the chatbot display area
height=800, # 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=1)
demo.launch(show_api=False, share=True)
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}") |