app.py

import gradio as gr
from huggingface_hub import InferenceClient
import os

# 1. Grab the secret password you just saved
HF_TOKEN = os.getenv("HF_TOKEN")

# 2. Connect to the AI brain
client = InferenceClient("meta-llama/Meta-Llama-3-8B-Instruct", token=HF_TOKEN)

# 3. The Samaran Kernel Logic
def samaran_kernel_chat(message, history):
    system_message = "You are T3Sam3, the Samaran Kernel. Provide deep, blue-tier logic. Be witty and technical."
    
    messages = [{"role": "system", "content": system_message}]
    for human, assistant in history:
        messages.append({"role": "user", "content": human})
        messages.append({"role": "assistant", "content": assistant})
    messages.append({"role": "user", "content": message})

    response = ""
    for message_chunk in client.chat_completion(
        messages,
        max_tokens=1024,
        stream=True,
    ):
        token = message_chunk.choices[0].delta.content
        if token:
            response += token
            yield response

# 4. The Blue T3Sam3 Look
custom_css = """
body, .gradio-container { background-color: #0b0f19 !important; }
footer {display: none !important}
.message.user { background-color: #1e293b !important; border: 1px solid #3b82f6 !important; }
.message.bot { background-color: #0f172a !important; color: #60a5fa !important; }
"""

# 5. Build the Interface