pulse_model_deployment/app.py

import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM

# 加载模型
model_name = "OpenMEDLab/PULSE-7bv5"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# 定义Gradio接口
def predict(symptoms):
    inputs = tokenizer(symptoms, return_tensors="pt")
    outputs = model.generate(**inputs, max_length=200)
    result_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return result_text

# 创建Gradio界面
iface = gr.Interface(fn=predict, inputs="text", outputs="text", title="PULSE 疾病问答系统", description="输入症状描述获取模型的回答")
iface.launch()