licence badge updated

README.md

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 <h1 align="center">
 
-[![License](https://img.shields.io/badge/license-CC0%201.0%20Universal-blue)](https://creativecommons.org/publicdomain/zero/1.0/)
+[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://www.apache.org/licenses/LICENSE-2.0)\
 [![Code of Conduct](https://img.shields.io/badge/Code_of_Conduct-Contributor%20Covenant-blue)](https://www.contributor-covenant.org/version/2/0/code_of_conduct/)\
 [![CI](https://github.com/sayantikabanik/DataJourney/actions/workflows/CI.yml/badge.svg)](https://github.com/sayantikabanik/DataJourney/actions/workflows/CI.yml)
 [![github-repo-stats](https://github.com/sayantikabanik/DataJourney/actions/workflows/github-repo-stats.yml/badge.svg)](https://github.com/sayantikabanik/DataJourney/actions/workflows/github-repo-stats.yml)
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 - PO (Base): Static home(s) to keep it together `(GitHub)`
 - P1 (Tooling): Tooling, strings `(Powered by open source)`
 - P2 (Maintenance + Monitoring): Env, automations `(Pixi + GHA)`
 - P3 (Abstraction): Layer(s), CLI/task manager for users to interact with `(Pixi)`
 
 
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 | ✅     | `Vale.sh` configured at PR level                                                                                 |
 | ✅     | `Pre-commit hooks` configured for code linting/formatting                                                        |
 | ✅     | `Hello world` LLM design example based on [LangChain](https://python.langchain.com/)                              |
 | ✅     | Environment management via [pixi](https://prefix.dev/)                                                           |
 | ✅     | Reading data from online sources using [intake](https://github.com/intake/intake)                                |
 | ✅     | Sample pipeline built using [Dagster](https://github.com/dagster-io/dagster)                                     |
 | ✅     | Building Dashboard using [holoviews](https://holoviews.org/gallery/index.html) + [panel](https://panel.holoviz.org/reference/index.html) |
 | ✅     | Exploratory data analysis (EDA) using [mito](https://www.trymito.io/)                                            |
 | ✅     | Web UI build on [Flask](https://flask.palletsprojects.com/en/3.0.x/)                                             |
 | ✅     | Web UI re-done and expanded with [FastHTML](https://docs.fastht.ml/)                                             |
 | ✅     | Leverage AI models to analyse data [GitHub AI models Beta](https://docs.github.com/en/github-models/prototyping-with-ai-models) |
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 - Generate & add `GITHUB_TOKEN`, instructions [here](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens#creating-a-personal-access-token-classic)
   - Added requirement to run the LLM based workflows
 - Switch directory `cd DataJourney`
 - Download pixi : [prefix.dev](https://prefix.dev/)
 - Activate env: `pixi shell`
 - Install DJ framework locally `pixi run DJ_package`
 - List all the tasks: `pixi task list`
 - Execute a task from the list: `pixi run <TASK>`
@@ -80,13 +80,13 @@
 | `GIT_TOKEN_CHECK`             | Verifies the availability and validity of the Git authentication token.                                     |
 | `DJ_package`                  | Prepares and builds the Python package for the DataJourney project.                                         |
 | `DJ_pre_commit`               | Runs pre-commit hooks to ensure code quality and adherence to standards.                                    |
 | `DJ_dagster`                  | Sets up and runs a Dagster workflow for orchestration in the project.                                       |
 | `DJ_fasthtml_app`             | Executes a FastAPI-based HTML application.                                                                  |
 | `DJ_flask_app`                | Configures and runs a Flask-based application for data services.                                            |
 | `DJ_mito_app`                 | Launches the Mito application for interactive data analysis in notebooks.                                   |
 | `DJ_panel_app`                | Executes a Panel dashboard app for data visualization and analytics.                                        |
 | `DJ_llm_analysis`             | Performs analysis using large language models (LLMs) on project data.                                       |
 | `DJ_hello_world_langchain`    | Sets up a basic LangChain app as a "Hello World" example for LLMs.                                          |
 | `DJ_spanish_eng_translation`  | Performs Spanish to English translation with Deepseek-R1 (`NOTE`: Takes about ~30 secs to execute this task) |
 | `DJ_sync_dataset_trees`       | Downloads and synchronizes the `trees.csv` dataset into the project structure.                              |
 
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 pixi run DJ_llm_analysis
 ```
 
 ### 🪼 Execute pre-configured Dagster pipeline
 
 ```shell
 pixi run DJ_dagster
 ```
 ![Dagit UI output](assets/pipeline/dagster_ui.png)
 
 ### 🐙 Panel app
 ```shell
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 ```
 
 *NOTE:*
 The dashboard generated is exported into HTML format and saved as [stock_price_twilio_dashboard](analytics_framework%2Fdashboard%2Fstock_price_twilio_dashboard.html)
 
 ![Panel app output](assets/dashboard/panel_app_stock.png)
 
 ### 🐵 Mito
 
 To explore further visit [trymito.io](https://docs.trymito.io/)
 ```shell
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 [//]: # (![mito output]&#40;assets/pipeline/mito_graph.png "Graph generated via mitosheet"&#41; ![mito output operation]&#40;assets/pipeline/mito_operations.png "Operations performed via mitosheet"&#41;)
 
 <div style="display: flex; justify-content: space-between;">
     <img src="assets/pipeline/mito_graph.png" alt="mito_output" width="400"/>
     <img src="assets/pipeline/mito_operations.png" alt="mito_output" width="400"/>
 </div>
 
 ### 🦋 Display all data sources present via web UI