app.py

import gradio as gr
import spaces
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("TIGER-Lab/MAmmoTH2-8B-Plus", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("TIGER-Lab/MAmmoTH2-8B-Plus", trust_remote_code=True)

def predict(input_text):
    outputs = model.generate(input_text, max_length=50, do_sample=True)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

demo = gr.Interface(fn=predict, inputs="text", outputs="text")
demo.launch()