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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() |