https://github.com/adamcseresznye/cp-seeker_post_processor
CP-Seeker Post-Processor is a user-friendly application designed to streamline the post-processing of CP-Seeker's output, as introduced by McGrath J. et al. in 2023.
https://github.com/adamcseresznye/cp-seeker_post_processor
chlorinated-parrafins cp-seeker post-processing
Last synced: 10 months ago
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CP-Seeker Post-Processor is a user-friendly application designed to streamline the post-processing of CP-Seeker's output, as introduced by McGrath J. et al. in 2023.
- Host: GitHub
- URL: https://github.com/adamcseresznye/cp-seeker_post_processor
- Owner: adamcseresznye
- Created: 2023-10-19T13:50:50.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-16T15:23:54.000Z (over 2 years ago)
- Last Synced: 2025-05-13T19:58:38.494Z (about 1 year ago)
- Topics: chlorinated-parrafins, cp-seeker, post-processing
- Language: Python
- Homepage: https://cpseeker-postprocess.streamlit.app/
- Size: 421 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# CP-Seeker Post-Processor
This [app](https://cpseeker-postprocess.streamlit.app/) is designed to facilitate post-processing of CP-Seeker's output (McGrath, J. et al, 2023).
## Instructions for running the app online:
1. Upload your CP-Seeker output files.
2. Optionally, set your confidence level (the default confidence level is 80%).
3. Download the filtered and merged dataset.
## Instructions for running the app locally:
To run the app locally, you can follow these steps:
1. Clone this repository to your local machine.
2. Install all the required dependencies listed in the `requirements.txt` file using pip.
3. Open your command terminal and enter the following command: `streamlit run main.py`.
These steps will allow you to run the app on your local environment.
**Disclaimer**:*The developer is not liable for errors or inaccuracies. This app is provided as-is, without any warranties or guarantees.*