app.py

import gradio as gr
import transformers


def load_model():
    # 在这里加载 Hugging Face 模型
    # 比如使用 transformers 库来加载模型
    from transformers import AutoModelForSequenceClassification, AutoTokenizer
    model_name = "https://huggingface.co/zeroMN/SHMT"
    model = AutoModelForSequenceClassification.from_pretrained(zeroMN/SHMT)
    tokenizer = AutoTokenizer.from_pretrained(zeroMN/SHMT)
    return model, tokenizer

def infer(text):
    model, tokenizer = load_model()
    inputs = tokenizer(text, return_tensors="pt")
    outputs = model("https://huggingface.co/zeroMN/SHMT")
    # 根据模型输出生成响应
    return f"Predicted response for: {text}"

# 使用 Gradio 创建接口
gr.Interface(fn=infer, inputs="text", outputs="text").launch()