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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()
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