https://github.com/benderscript/netvision
Network Topology Image Analsysis
https://github.com/benderscript/netvision
cisco gpt-4-vision images networking topology vision
Last synced: 11 months ago
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Network Topology Image Analsysis
- Host: GitHub
- URL: https://github.com/benderscript/netvision
- Owner: BenderScript
- License: apache-2.0
- Created: 2024-04-23T05:50:16.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-10-16T13:46:08.000Z (over 1 year ago)
- Last Synced: 2025-02-07T16:28:56.361Z (about 1 year ago)
- Topics: cisco, gpt-4-vision, images, networking, topology, vision
- Language: Python
- Homepage:
- Size: 32.4 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# NetVision - A GenAI Application for Networking Topology Image Analysis
This application leverages Streamlit and OpenAI's GPT-4V model to analyze networking topology images. It provides a user-friendly interface that allows users to upload images of network topologies and receive insights and analyses generated by the GPT-4V model.
## Features
- Upload interface for network topology images.
- Real-time analysis of images using OpenAI's GPT-4V.
- Interactive chat interface to discuss and query network topology features.
- Session state management to maintain interaction history.
## Application Demo
See the application in action:
## Prerequisites
- Python 3.12+
- Poetry for dependency management
- An OpenAI API key or Azure OpenAI deployment with vision support
## Installation
### Setting Up the Environment
1. **Clone the repository:**
```bash
git clone https://your-repository-url
cd your-project-directory
```
2. **Install dependencies using Poetry:**
```bash
poetry install
```
### Configuring the OpenAI API Key
1. **Create a `.env` file in the root directory of the project and add your OpenAI API key:**
```
OPENAI_API_KEY=your_openai_api_key
```
2. Alternatively create a .env.azure and add your information such as:
```bash
AZURE_OPENAI_API_KEY=
AZURE_OPENAI_ENDPOINT=
AZURE_OPENAI_API_VERSION=2024-02-15-preview
AZURE_OPENAI_DEPLOYMENT=
```
## Running the Application
To run the Streamlit application, use Poetry to handle the environment:
```bash
poetry run streamlit run main.py
```
Navigate to `http://localhost:8501` in your web browser to interact with the application. Upload your network topology images to receive detailed analyses and insights.
## Contributing
Contributions are welcome! Please read `CONTRIBUTING.md` for how to contribute to this project.
## License
This project is licensed under the Apache-2.0 - see the [LICENSE](LICENSE.md) file for details.
## Acknowledgments
- Streamlit for providing an excellent platform to build interactive apps.
## Support
For support, open an issue in the GitHub repository or contact the project maintainers.