hashtagger 0.2.1

A hashtag generator using TensorFlow and NLTK

HASHTAGGER

To generate tags for images using TensorFlow and OpenCV.

Using hashtagger, all of this can be done in just a few lines of code.

Installation

You can install hashtagger using pip:

pip install hashtagger

Usage

Here’s an example of how to use hashtagger to generate tags for images:

from hashtagger import Hashtagger

# Create an instance of YourLibrary
your_library = Hashtagger()

# Specify the path to the image you want to process
image_path = ""  # Replace with the path to your image

try:
    # Use the recognize_objects method to recognize objects in the image
    decoded_predictions = your_library.recognize_objects(image_path)

    # Use the generate_tags method to generate tags for the recognized objects
    tags = your_library.generate_tags(decoded_predictions)

    print("Recognized objects and tags:")
    for tag in tags:
        print(tag)

except Exception as e:
    print(f"An error occurred: {e}")

License

This project is licensed under the MIT License - see the LICENSE.txt file for details.

Changelog

0.1.1 (2023-10-09)

• Added Initial release of the hashtagger library.

0.1.4 (2024-03-07)

• Added more hashtags to hashtagger library.

0.1.5 (2024-07-05)

• Added more hashtags to hashtagger library.

0.2.0 (2024-07-05)

• Added more hashtags to hashtagger library.

0.2.1 (2024-07-05)

• Removed all nltk and download errors