import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Devy1/DeepSeek-Coder-1.3b-base-AQLM-2bit-mixed-finetuned-1x14", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("Devy1/DeepSeek-Coder-1.3b-base-AQLM-2bit-mixed-finetuned-1x14", trust_remote_code=True).cuda()

def generate_code(prompt):
    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
    outputs = model.generate(**inputs, max_length=128)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

interface = gr.Interface(fn=generate_code, inputs="text", outputs="text")
interface.launch()