https://github.com/argodevops/ai-summarisation
Performs basic text and audio summarization using LLMs available on Huggingface and using Streamlit.
https://github.com/argodevops/ai-summarisation
huggingface streamlit
Last synced: 20 days ago
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Performs basic text and audio summarization using LLMs available on Huggingface and using Streamlit.
- Host: GitHub
- URL: https://github.com/argodevops/ai-summarisation
- Owner: argodevops
- License: apache-2.0
- Created: 2024-03-31T17:46:03.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-02T15:33:06.000Z (about 2 years ago)
- Last Synced: 2025-01-25T22:21:11.143Z (over 1 year ago)
- Topics: huggingface, streamlit
- Language: Python
- Homepage: https://huggingface.co/spaces/argodevops/ai-summarisation
- Size: 23.4 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
---
title: Ai Summarisation
emoji: 🚀
colorFrom: pink
colorTo: indigo
sdk: streamlit
sdk_version: 1.32.2
app_file: app.py
pinned: false
license: apache-2.0
---
# Argo AI Summarisation
[](LICENSE)
## Description
Argo AI Summarisation tool which performs basic text and audio summarisation. The data to be summarised can be ingested via different methods and configured to defined the minimum and maximum length of the summarised text. It is built using `Streamlit` and `Huggingface` libraries.
## Installation
1. Clone the repository:
```shell
git clone https://github.com/argonauts/ai-summarisation.git
```
2. Navigate to the project directory:
```shell
cd ai-summarisation
```
3. Install dependencies
```shell
pip install -r requirements.txt
```
## Usage
To run the Argo AI Summarisation tool, execute the following command:
```shell
streamlit run app.py
```
This will start the Streamlit application and provide you with a web interface to interact with the summarisation tool.
## License
This project is licensed under the Apache License 2.0.