https://github.com/alihassanml/genai-interactive-tools
Welcome to the GenAI Interactive Tools repository! This project consists of two distinct generative AI applications: one for text-based question answering and another for image recognition. Both applications are visualized using Streamlit for a user-friendly interface.
https://github.com/alihassanml/genai-interactive-tools
Last synced: 8 months ago
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Welcome to the GenAI Interactive Tools repository! This project consists of two distinct generative AI applications: one for text-based question answering and another for image recognition. Both applications are visualized using Streamlit for a user-friendly interface.
- Host: GitHub
- URL: https://github.com/alihassanml/genai-interactive-tools
- Owner: alihassanml
- Created: 2024-06-19T09:24:29.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-06-19T10:01:20.000Z (over 1 year ago)
- Last Synced: 2025-01-01T15:11:47.516Z (9 months ago)
- Language: Python
- Size: 1.76 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# GenAI Interactive Tools
Welcome to the GenAI Interactive Tools repository! This project consists of two distinct generative AI applications: one for text-based question answering and another for image recognition. Both applications are visualized using Streamlit for a user-friendly interface.
## Table of Contents
- [Project Overview](#project-overview)
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
## Project Overview
### 1. Text-Based Question Answering
This tool allows users to ask questions, and it provides answers using a generative AI model. It's designed to understand and generate human-like responses to a wide range of questions.
### 2. Image Recognition
This tool enables users to upload an image, and it identifies the content of the image using a trained AI model. It's capable of recognizing various objects and providing detailed descriptions.
## Features
- **Text-Based Question Answering:**
- User-friendly interface to input questions
- AI-generated answers in real-time
- **Image Recognition:**
- Easy image upload functionality
- Detailed analysis and description of uploaded images
- **Streamlit Visualization:**
- Interactive and responsive web interface
- Real-time display of AI responses
## Installation
To get started with this project, follow these steps:
1. Clone the repository:
```bash
git clone https://github.com/alihassanml/GenAI-Interactive-Tools.git
cd GenAI-Interactive-Tools
```
2. Set up a virtual environment:
```bash
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
```
3. Install the required dependencies:
```bash
pip install -r requirements.txt
```
## Usage
To run the Streamlit application:
1. Start the Streamlit server:
```bash
streamlit run app.py
```
2. Open your web browser and navigate to `http://localhost:8501` to interact with the applications.
### Text-Based Question Answering
1. Navigate to the text question-answering section.
2. Input your question in the provided text box.
3. Press the "Submit" button to receive the AI-generated answer.
### Image Recognition
1. Navigate to the image upload section.
2. Upload an image using the file uploader.
3. The AI model will analyze the image and display the results.
## Contributing
We welcome contributions to improve and expand this project. To contribute, please fork the repository, create a new branch for your feature or bugfix, and submit a pull request.
1. Fork the repository
2. Create a new branch (`git checkout -b feature-branch`)
3. Commit your changes (`git commit -m 'Add some feature'`)
4. Push to the branch (`git push origin feature-branch`)
5. Open a pull request
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.
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