10 months ago · 5c8c8c3152
--- a/Dockerfile
+++ b/Dockerfile
@@ -0,0 +1,8 @@
 
				+FROM pytorch/pytorch:1.13.1-cuda11.6-cudnn8-runtime
			
 
				+ENV PORT=8000
			
 
				+RUN pip install sentence-transformers fastapi uvicorn gradio
			
 
				+WORKDIR /model
			
 
				+COPY . .
			
 
				+RUN chmod +x ./entrypoint.sh
			
 
				+EXPOSE 8080
			
 
				+ENTRYPOINT [ "/model/entrypoint.sh" ]
			
--- a/demo/demo1.py
+++ b/demo/demo1.py
@@ -9,4 +9,4 @@ def to_black(image):
 
				 interface = gr.Interface(fn=to_black, inputs="image", outputs="image",  examples=[["test.png"]])
			
 
				 
			
 
				 if __name__=='__main__':
			
 
				-    interface.launch(inbrowser=True, server_name='0.0.0.0')
			
 
				+    app,local_url, share_url= interface.launch(inbrowser=True, server_name='0.0.0.0')
			
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -0,0 +1,89 @@
 
				+version: '3.4'
			
 
				+
			
 
				+services:
			
 
				+  flask:
			
 
				+    container_name: flask-note
			
 
				+    image: jianboy/flask-note
			
 
				+    restart: always
			
 
				+    networks:
			
 
				+      # - db
			
 
				+      - web
			
 
				+    ports:
			
 
				+      - 5002:5002
			
 
				+    # command: command
			
 
				+
			
 
				+  nginx:
			
 
				+    container_name: nginx
			
 
				+    image: nginx:latest
			
 
				+    restart: always
			
 
				+    depends_on:
			
 
				+      - flask
			
 
				+    networks:
			
 
				+      - web
			
 
				+    ports:
			
 
				+      - 80:5085
			
 
				+    volumes:
			
 
				+      - ./nginx:/etc/nginx/conf.d
			
 
				+
			
 
				+  # db:
			
 
				+  #   container_name: db
			
 
				+  #   image: postgres:latest
			
 
				+  #   restart: always
			
 
				+  #   environment:
			
 
				+  #     POSTGRES_USER: postgres
			
 
				+  #     POSTGRES_PASSWORD: postgres
			
 
				+  #     POSTGRES_DB: postgres
			
 
				+  #   networks:
			
 
				+  #     - db
			
 
				+  #   volumes:
			
 
				+  #     - ./postgres-data:/var/lib/postgresql/data
			
 
				+
			
 
				+    # db:
			
 
				+    #   container_name: mariadb
			
 
				+    #   image: mariadb
			
 
				+    #   restart: always
			
 
				+    #   command: ['--character-set-server=utf8mb4', '--collation-server=utf8mb4_unicode_ci']
			
 
				+    #   environment:
			
 
				+    #     MYSQL_ROOT_PASSWORD: 12345678
			
 
				+    #     MYSQL_PASSWORD: 12345678
			
 
				+    #     MYSQL_USER: lyq
			
 
				+    #     MYSQL_DATABASE: flask
			
 
				+    #     LANG: C.UTF-8
			
 
				+    #     TZ: Asia/Shanghai
			
 
				+    #     MYSQL_CHARSET: utf8mb4
			
 
				+    #     MYSQL_COLLATION: utf8mb4_unicode_ci
			
 
				+    #   networks:
			
 
				+    #     - web
			
 
				+    #   volumes:
			
 
				+    #     - ./volume/ mysql:/var/lib/mysql
			
 
				+    #     - ./volume/sql:/docker-entrypoint-initdb.d
			
 
				+    #     - ./volume/mysql/conf.d:/etc/mysql/conf.d
			
 
				+
			
 
				+    db:
			
 
				+      container_name: mysql
			
 
				+      image: mysql:latest
			
 
				+      restart: always
			
 
				+      ports:
			
 
				+        - 3306:3306
			
 
				+      environment:
			
 
				+        MYSQL_ROOT_PASSWORD: 12345678
			
 
				+        LANG: C.UTF-8
			
 
				+        TZ: Asia/Shanghai
			
 
				+        MYSQL_CHARSET: utf8mb4
			
 
				+        MYSQL_COLLATION: utf8mb4_unicode_ci
			
 
				+      networks:
			
 
				+        - db
			
 
				+      volumes:
			
 
				+        - ./postgres-data:/var/lib/postgresql/data
			
 
				+
			
 
				+  # redis:
			
 
				+  #   image: redis
			
 
				+  #   container_name: redis
			
 
				+  #   ports:
			
 
				+  #     - "63799:6379"
			
 
				+
			
 
				+networks:
			
 
				+  # db:
			
 
				+  #   driver: bridge
			
 
				+  web:
			
 
				+    driver: bridge
			
--- a/docs/.nojekyll
+++ b/docs/.nojekyll
--- a/docs/README.md
+++ b/docs/README.md
@@ -0,0 +1,41 @@
 
				+# Index

			
 
				+

			
 
				+Gradio VS Streamlit:

			
 
				+

			
 
				+

			
 
				+gradio 易用，设置share=True参数创建外部分享链接，可以在jupyter中直接展示页面。

			
 
				+

			
 
				+Streamlit 可扩展性

			
 
				+

			
 
				+

			
 
				+```

			
 
				+pip install gradio

			
 
				+

			
 
				+python app.py

			
 
				+```

			
 
				+

			
 
				+Interface类以及基础模块

			
 
				+

			
 
				+fn：包装的函数

			
 
				+

			
 
				+inputs：输入组件类型，（例如：“text”、"image）

			
 
				+

			
 
				+ouputs：输出组件类型，（例如：“text”、"image）

			
 
				+

			
 
				+

			
 
				+应用界面：gr.Interface(简易场景), gr.Blocks(定制化场景)

			
 
				+

			
 
				+输入输出：gr.Image(图像), gr.Textbox(文本框), gr.DataFrame(数据框), gr.Dropdown(下拉选项), gr.Number(数字), gr.Markdown, gr.Files

			
 
				+

			
 
				+控制组件：gr.Button(按钮)

			
 
				+

			
 
				+布局组件：gr.Tab(标签页), gr.Row(行布局), gr.Column(列布局)

			
 
				+

			
 
				+

			
 
				+会话

			
 
				+

			
 
				+

			
 
				+## Reference

			
 
				+

			
 
				+* Gradio官网链接：https://gradio.app/

			
 
				+* Gradio官方文档：https://gradio.app/docs/

			
--- a/docs/_sidebar.md
+++ b/docs/_sidebar.md
@@ -0,0 +1,8 @@
 
				+* 关于本书

			
 
				+  * [前言](README.md)

			
 
				+  * [快速开始](quick_start.md)

			
 
				+* 组件布局

			
 
				+  * [输入组件](input_components.md)

			
 
				+  * [web 开发](web.md)

			
 
				+* 部署

			
 
				+  * [部署到云](deploy.md)
			
--- a/docs/deploy.md
+++ b/docs/deploy.md
@@ -0,0 +1,19 @@
 
				+# deploy
			
 
				+
			
 
				+可部署到web，桌面应用，app等。
			
 
				+
			
 
				+## web部署
			
 
				+
			
 
				+机器学习项目投入生产环境，技术栈：flask, gunicorn, nginx，gradio, fastapi,docker 等
			
 
				+
			
 
				+
			
 
				+
			
 
				+
			
 
				+## 桌面应用打包
			
 
				+
			
 
				+```
			
 
				+
			
 
				+```
			
 
				+
			
 
				+## app打包
			
 
				+
			
--- a/docs/index.html
+++ b/docs/index.html
@@ -0,0 +1,41 @@
 
				+<!DOCTYPE html>

			
 
				+<html lang="en">

			
 
				+

			
 
				+<head>

			
 
				+  <meta charset="UTF-8">

			
 
				+  <title>suno ai</title>

			
 
				+  <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1" />

			
 
				+  <meta name="description" content="gitub action example and docs">

			
 
				+  <meta name="keywords" content="github, action, example, docs">

			
 
				+  <link rel="icon" href="ico/favicon.ico">

			
 
				+  <meta name="viewport" content="width=device-width, initial-scale=1.0, minimum-scale=1.0">

			
 
				+  <link rel="stylesheet" href="https://lf26-cdn-tos.bytecdntp.com/cdn/expire-1-M/docsify/4.12.2/themes/vue.css">

			
 
				+</head>

			
 
				+

			
 
				+<body>

			
 
				+  <div id="app"></div>

			
 
				+  <script>

			
 
				+    window.$docsify = {

			
 
				+      name: '',

			
 
				+      repo: '',

			
 
				+      loadSidebar: true,

			
 
				+      themeColor: '#3F51B5',

			
 
				+      ahto2top: true,

			
 
				+      plugins: [

			
 
				+        function (hook, vm) {

			
 
				+          hook.beforeEach(function (content) {

			
 
				+          })

			
 
				+        },

			
 
				+      ]

			
 
				+    }

			
 
				+  </script>

			
 
				+  <!-- Docsify v4 -->

			
 
				+  <script src="https://lf9-cdn-tos.bytecdntp.com/cdn/expire-1-M/docsify/4.12.2/docsify.min.js"></script>

			
 
				+   <!-- <script src="//unpkg.com/docsify/lib/plugins/search.js"></script>

			
 
				+   <script src="//unpkg.com/prismjs/components/prism-bash.js"></script>

			
 
				+   <script src="//unpkg.com/docsify/lib/plugins/emoji.js"></script>

			
 
				+   <script src="//unpkg.com/docsify-copy-code"></script>

			
 
				+   <script src="//unpkg.com/docsify/lib/plugins/ga.js"></script> -->

			
 
				+</body>

			
 
				+

			
 
				+</html>
			
--- a/docs/input_components.md
+++ b/docs/input_components.md
@@ -0,0 +1,8 @@
 
				+# Components
			
 
				+
			
 
				+丰富组件。
			
 
				+
			
 
				+
			
 
				+
			
 
				+## Reference
			
 
				+
			
--- a/docs/quick_start.md
+++ b/docs/quick_start.md
@@ -0,0 +1,24 @@
 
				+# 开始开始
			
 
				+
			
 
				+安装：
			
 
				+    
			
 
				+```bash
			
 
				+pip install gradio
			
 
				+```
			
 
				+
			
 
				+使用：
			
 
				+    
			
 
				+```python
			
 
				+from gradio import Interface
			
 
				+def predict(input_text):
			
 
				+    # 这里是模型预测的逻辑代码
			
 
				+    # 例如，我们可以使用sklearn的逻辑回归模型进行预测
			
 
				+    from sklearn.linear_model import LogisticRegression
			
 
				+    model = LogisticRegression()  # 加载或训练模型
			
 
				+    return model.predict([input_text])[0]
			
 
				+
			
 
				+interface = Interface(fn=predict, inputs='text', outputs='int')
			
 
				+interface.launch()
			
 
				+```
			
 
				+
			
 
				+这里有 Interface 类，接受三个参数：
			
--- a/docs/web.md
+++ b/docs/web.md
@@ -0,0 +1,7 @@
 
				+# web
			
 
				+
			
 
				+可集成 Flask、Django和FastAPI
			
 
				+
			
 
				+
			
 
				+##
			
 
				+