Efficient-Similarity-Based-Index-Task-Routing-For-LLM

Installation

1. Clone the repository to your local machine:

   git clone https://github.com/your-repo/Efficient-Similarity-Based-Index-Task-Routing-For-LLM
   cd Efficient-Similarity-Based-Index-Task-Routing-For-LLM

2. Install the required dependencies using pip:

   pip install -r FYP/requirements.txt

Running the Streamlit Application

To run the Streamlit application:

1. Navigate to the ui folder:

   cd FYP/ui

2. Run the Streamlit app:

   streamlit run app.py

3. Open the provided URL in your browser to access the application.

Running the Notebook on Kaggle

To run the notebook on Kaggle:

1. Navigate to the notebook folder:

   cd FYP/notebook

2. Upload the fyp2-notebook.ipynb file to Kaggle:

   • Go to Kaggle Notebooks.
   • Click on "New Notebook" and then "Upload Notebook".
   • Select the fyp2-notebook.ipynb file from the notebook folder.

3. Once uploaded, ensure the required dependencies are installed in the Kaggle environment. You can add the following command to a cell in the notebook:

   !pip install -r /kaggle/working/requirements.txt

   (Make sure to upload the requirements.txt file alongside the notebook if needed.)

4. Run the notebook cells as required.

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