chore: import upstream snapshot with attribution

2026-07-13 13:18:32 +08:00
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+# Blockly User Guide
+
+## What is BlocklyML?
+BlocklyML is a **No Code** training ground for python and ML. This tool is designed to simplify standard machine learning implementation.
+This tool can assist anyone who wants to start with ML or python. This is a forked project from [Blockly](https://github.com/google/blockly) and adapted for machine learning and Data analytics use-cases:brain:. 
+
+Currently BlocklyML is moving from Alpha -> Beta. Please try the tool and raise ![issue](https://github.com/chekoduadarsh/BlocklyML/issues)
+
+## How to use BlocklyML?
+
+Want to Use BlocklyML? Its very simple.
+
+### Using Webtool
+
+goto : ![blocklyml.herokuapp.com](blocklyml.herokuapp.com)
+
+### Using Locally
+
+pre-requisits
+
+```bash
+    python3
+    docker
+    pip
+```
+
+It is recommended to use conda/pip virtual environment before installing
+
+1. **Clone this repo**
+
+```bash
+git clone https://github.com/chekoduadarsh/BlocklyML
+```
+
+After cloning the repo you can either follow the Flask Method
+
+2. **Install**
+
+    
+    1. **Flask Method**
+
+    Install the requirements from requirements.txt with the following command
+
+    ```bash
+    pip install -r requirements.txt 
+    ```
+
+    then you can run the application by
+
+    ```bash
+    python app.py
+    ```
+
+Simple as that :man_shrugging:
+
+## How to download layouts? 
+
+
+<img src="https://github.com/chekoduadarsh/BlocklyML/blob/main/media/butttons.png" alt="drawing" width="500"/>
+
+Use Download button form the buttons given above. which will download the `blocklyML.xml` file. This XML file contatins details regarding the layout of the project.This can be used to share or save the layout.
+
+
+## How to upload layouts?
+
+<img src="https://github.com/chekoduadarsh/BlocklyML/blob/main/media/butttons.png" alt="drawing" width="500"/>
+
+Use Upload button form the buttons given above. Which will create a popup window as given below.
+
+<img src="https://github.com/chekoduadarsh/BlocklyML/blob/main/media/blocklyML_upload.png" alt="drawing" width="500"/>
+
+In this pop windows you can drop/upload file or you can provide the URL of the file. This will load the laout xml file