app.py

import os

import gradio as gr
from transformers import pipeline


sd_description = "文字生成图片"
sd_examples = [["小猫"], ["cat"], ["dog"]]
sd_demo = gr.Interface.load("models/runwayml/stable-diffusion-v1-5", title='文字生成图片', examples=sd_examples)


pipe = pipeline("image-classification")
examples = [[os.path.join(os.path.dirname(__file__), "lion.jpg")], [os.path.join(os.path.dirname(__file__), "cat.jpeg")]]
app = gr.Interface.from_pipeline(pipe, examples=examples, title='图片识别')


demo = gr.TabbedInterface([sd_demo, app], ["文字生成图片", "图片识别"])


demo.launch()