[DOC]: fix doc

Author: a00663044

Agent_K/agentdocs/docs/index.md

@@ -1,93 +1,3 @@
-# 🧠 Installing Agent K
+ # Welcome to Agent K Doc
 
-Clone the Agent K repository:
-
-    ```bash
-    git clone --depth=1 --branch ajar https://gitlab-uk.rnd.huawei.com/ai-uk-team/reinforcement_learning_london/pangu-agent/agent.git
-    cd agent
-    ```
-
-### 📦 Creating the Environment
-
-1. Create an environment named `agent`.
-
-    ```bash
-    conda create -n agent python=3.11
-    ```
-
-2. Save Python executable path.
-
-    ```bash
-    conda activate agent
-    which python > ./third_party/agent_k_python_path.txt
-    ```
-
-3. Install the required packages.
-
-    ```bash
-    pip install -e .[datascience]
-    pip install -e ./third_party/ds-agent/
-    ```
-
-Packages required for running tabular tasks.
-
-1. Installing ramp-hyperopt
-
-   ```bash
-    pip install git+https://rnd-gitlab-eu.huawei.com/Noahs-Ark/libraries/ramp-hyperopt.git@fe
-   ```
-
-2. Installing ramp-workflow
-
-    ```bash
-    pip install git+https://rnd-gitlab-eu.huawei.com/Noahs-Ark/libraries/ramp-workflow.git@generative_regression_clean
-    ```
-
-Installing geckodriver
-
-- Download a release of geckodriver using the following command.
-
-`wget https://github.com/mozilla/geckodriver/releases/download/v0.32.0/geckodriver-v0.32.0-linux64.tar.gz`
-
-- unzip the file using the following command.
-
-`tar -xvzf geckodriver-v0.32.0-linux64.tar.gz`
-
-- set the path in your .bashrc file
-
-`export PATH=$PATH:/path/to/your/geckodriverdirectory/geckodriver*`
-
-### 🏅 Setting Up Kaggle
-
-1. install kaggle in your environment
-   `pip install kaggle`.
-2. Create an API Token on https://www.kaggle.com/<username>/account. This will trigger download for kaggle.json file.
-3. Place this file in the appropriate directory depending on your operating system. For linux the default path is
-   `~/.config/kaggle/kaggle.json`.
-4. For more follow the steps in installation and API credentials section
-   on https://github.com/Kaggle/kaggle-api/tree/main/docs.
-
-   #### 🔐 Adding Login Details
-   Inside `./third_party/data_preprocessing` create a json file named `kaggle_login_details.json` in the following
-   format.
-
-    ```
-    {
-       "username": "",
-       "email": "",
-       "pwd": ""
-    }
-    ```
-
-### 📂 Setting Up Raw Data Paths
-
-This is the directory where when trying a new competition Agent K downloads the raw data for the competition.
-This data will be later used during the setup stage and in the main pipeline.
-
-- create a file in `/path/to/your/agent_k_directory` named `root_path_to_raw_ds_data.txt` fill it with the path to the
-  directory where you want your raw data to be saved.
-
-```shell
-RAW_DATA_PATH=...
-echo $RAW_DATA_PATH > ./root_path_to_raw_data.txt
-```
+This is a minimal MkDocs site to test deployment.

Agent_K/agentdocs/mkdocs.yml

@@ -1,40 +1,3 @@
 site_name: Agent K Documentation
-nav:
-  - Setup:
-      - Installation: index.md
-      - Setting the LLM: llm.md
-      - Test the Setup: test_setup.md
-  - Running Agent K:
-      - Running Custom Tasks: custom_task.md
-      - Adding Kaggle Competition: add_competition.md
-      - Running CV/NLP/Multimodal Tasks: NLP.md
-      - Running Tabular Tasks: Tabular.md
-  - Running ReAct Agent:
-      - ReAct Agent: reactagent.md
-      - RAG Database creation: rag.md
-  - Submitting to Kaggle:
-      - Submission: Submission.md
-  - Running the Full pipeline:
-      - Running the full pipeline: pipeline.md
-  - Extras:
-      - Visualization: visualize.md
-      - Additional Docs: additional.md
-  - Reproducing Results:
-      - Configurations: configuration.md
-      - TabPFN Baseline: tabpfn.md
-      - Benchmark set: benchmark.md
-
-
 theme:
-  name: readthedocs
-extra_css:
-  - css/custom.css
-
-markdown_extensions:
-  - admonition
-  - codehilite
-  - toc:
-      permalink: true
-  - pymdownx.superfences
-
-
+  name: material