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import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
# Load model
model_name = "TheBloke/MythoMax-L2-13B-GPTQ"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", torch_dtype=torch.float16)
def chat(message, history):
input_text = tokenizer.apply_chat_template(history + [[None, message]], tokenize=False)
inputs = tokenizer(input_text, return_tensors="pt").to("cuda")
outputs = model.generate(**inputs, max_new_tokens=300)
response = tokenizer.decode(outputs[:, inputs.input_ids.shape[1]:][0], skip_special_tokens=True)
return response
# Gradio UI
with gr.Blocks() as demo:
gr.Markdown("## MythoMax AI Chatbot 💬")
chatbox = gr.ChatInterface(chat)
demo.launch()
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