import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

# 加载你的模型和分词器
model_name = "csdnkey/fortune_tellingb_1.5"  # 替换为你在 Hugging Face 上发布的模型名称
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

def generate_text(input_text):
    inputs = tokenizer(input_text, return_tensors="pt")
    outputs = model.generate(**inputs, max_length=100)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

# 创建 Gradio 界面
demo = gr.Interface(
    fn=generate_text,
    inputs="text",
    outputs="text",
    title="你的模型名称",
    description="使用你的模型进行文本生成"
)
demo.launch()