Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/suleimanelkhoury/chat-gpt-har
A web-based "CHATGPT-based Prompt for Human Activity Recognition (HAR)" project.
https://github.com/suleimanelkhoury/chat-gpt-har
chatgpt chatgpt-api gradio human-activity-recognition python web-interface
Last synced: 3 months ago
JSON representation
A web-based "CHATGPT-based Prompt for Human Activity Recognition (HAR)" project.
- Host: GitHub
- URL: https://github.com/suleimanelkhoury/chat-gpt-har
- Owner: suleimanelkhoury
- Created: 2024-08-20T11:46:05.000Z (4 months ago)
- Default Branch: master
- Last Pushed: 2024-08-20T12:40:37.000Z (4 months ago)
- Last Synced: 2024-09-27T22:03:48.751Z (3 months ago)
- Topics: chatgpt, chatgpt-api, gradio, human-activity-recognition, python, web-interface
- Language: Python
- Homepage:
- Size: 103 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
Awesome Lists containing this project
README
# Web-based CHATGPT-powered Prompt for Human Activity Recognition (HAR)
## Project Overview
This repository contains a web-based application designed to leverage ChatGPT for Human Activity Recognition (HAR) tasks. Follow the instructions below to set up and run the project.
## Getting Started
### 1. Clone the Repository
```bash
git clone https://git.scc.kit.edu/chat-gpt-har](https://github.com/suleimanelkhoury/chat-gpt-har.git
cd chat-gpt-har
```
### 2. Install Dependencies
```bash
pip install -r requirements.txt
```
### 3. Configure OpenAI API Key
Open `app.py` and insert your OpenAI API key:
```python
openai.api_key = "Your_Key"
```
### 4. Run the Application
```bash
python app.py
```
## Project Structure
- **app.py**: Contains the ChatGPT integration and the Gradio-based user interface.
- **functions.py**: Includes all prompts and processing pipelines for the HAR exercises.
- **kittheme.py**: Provides a custom theme for the Gradio UI, using the Karlsruhe Institute of Technology color scheme.
- **requirements.txt**: Lists all dependencies required for the project.
## User Interface Guide
### Model Selection
- **Location**: Top-right corner.
- **Description**: Choose your preferred ChatGPT model from a dropdown menu. The default setting is GPT-3.5-turbo.
### Important Information Representation
- **Function**: Input a dataset description to receive a structured and standardized JSON output of the key information.
### Related Work Listing
- **Function**: Enter a paper title and specify the number of related works to display using the "count" option.
- **"Pure GPT" Button**: Displays relevant related papers recommended by ChatGPT.
- **"Get Citations With Scholarly" Button**: Shows papers that cite the entered paper.
- **"Get References With Plybliometrics" Button**: Outputs references from the entered paper (requires a key in `pybliometrics.cfg`).
### Tools and Algorithm Recommendations
- **Function**: Provides recommended algorithms based on the input.
### Data Exploration
- **Function**: Upload a `.txt` file from the Human Activity Recognition dataset.
- **"count" Option**: Adjust the number of rows used for data exploration.
- **"Data Visualization Prompt" Button**: Generates code for visualizing the data.
- **"Descriptive Statistics Prompt" Button**: Outputs a statistical analysis of the input data.
### Data Format Transformation
- **Function**: Transforms input data into a structured format.