import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "TheBloke/MythoMax-L2-13B-GGUF"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

def chat(input_text):
    inputs = tokenizer(input_text, return_tensors="pt")
    output = model.generate(**inputs, max_new_tokens=100)
    response = tokenizer.decode(output[0], skip_special_tokens=True)
    return response

iface = gr.Interface(
    fn=chat,
    inputs="text",
    outputs="text",
    title="Dika AI - MythoMax Lite",
    description="Chatbot AI berbasis MythoMax 13B GGUF, optimized for Hugging Face free tier!"
)

iface.launch()