AI Blog Content Assistant

Overview

This Python script leverages the Hugging Face LLM and Streamlit to create an AI-powered blog content assistant. The tool assists users in generating blog titles and content based on provided inputs.

Dependencies

• huggingface_hub
• langchain
• streamlit
• secret_api_keys (custom module for storing Hugging Face API key)

Setup

Create a Hugging Face API token: Obtain a token from your Hugging Face account settings. Create a secret_api_keys.py file: Store your Hugging Face API token in this file as a variable named huggingface_api_key.

Install dependencies:

pip install huggingface_hub langchain streamlit

Run the script:

streamlit run your_script_name.py

How to Use

Title Generation:

• Enter a topic in the "Input the topic" expander.
• Click the "Submit the topic" button to generate a list of potential titles.

Blog Generation:

• Enter the desired blog title in the "Input Blog details" expander.
• Set the desired blog length using the slider.
• Add keywords by entering them in the input field and clicking "Add Keyword".
• Click the "Submit the Info" button to generate the blog content.

Key Features

• Generates creative and attention-grabbing blog titles.
• Produces high-quality, informative, and plagiarism-free blog content.
• Allows customization of blog length and keywords.
• Provides a user-friendly Streamlit interface.

Limitations

• Relies on the quality of the Hugging Face LLM.
• Generated content may require editing and refinement.

Additional Notes

• Consider using environment variables to securely store the API key instead of a dedicated file.
• Explore more advanced LLM prompting techniques for improved results.
• Implement feedback mechanisms to enhance the tool's performance.

Contributing

Feel free to contribute to this project by submitting issues or pull requests.