add docker container

app.py

@@ -1,3 +1,6 @@
+#!/usr/bin/env python3.8
+
+
 from flask import Flask, render_template, request
 from onnx_modifier import onnxModifier
 app = Flask(__name__)
@@ -30,4 +33,5 @@ def modify_and_download_model():
     return 'OK', 200
 
 if __name__ == '__main__':
-   app.run()
+    app.debug = True
+    app.run(host="0.0.0.0")

readme.md

@@ -37,8 +37,7 @@ Clone the repo and install the required Python packages by
 git clone git@github.com:ZhangGe6/onnx-modifier.git
 cd onnx-modifier
 
-pip install onnx
-pip install flask
+pip install onnx onnxruntime flask
 ```
 
 Then run
@@ -58,6 +57,24 @@ Click the url in the output info generated by flask (`http://127.0.0.1:5000/` fo
 
 Click `Open Model...` to upload the ONNX model to edit. The model will be parsed and shown on the page.
 
+## launch from a docker container
+
+We create a docker container like this:
+
+```bash
+docker build --file Dockerfile . -t onnx-modifier
+```
+
+After building the container, we run onnx-modifier from it by mapping docker port 5000 to host port 5000
+
+```bash
+docker run -d -t --name onnx-modifier -p 5000:5000 onnx-modifier
+```
+
+Then we have access to onnx-modifer from URL <http://127.0.0.1:5000>.
+
+
+
 # Usage
 Graph-level-operation elements are placed on the left-top of the page. Currently, there are four buttons: `Refresh`, `Reset`, `Download` and `Add node`. They can do:
 - `Refresh`: Refresh the model graph to preview editing effects.