/Blog-Generation-LLM-app

This Streamlit app uses an advanced language model to help you generate content. Just tell it your topic, word count, and job profile, and voila! Your blog post is ready.

Primary LanguagePython

Blog Generator 🤖

This Streamlit application generates blog content based on user-provided inputs. It utilizes the LLama 2 language model to create engaging blog posts quickly and efficiently.

Features

  • Generate blog content on various topics for different job profiles.
  • Customize the length of the generated blog post.
  • Choose from predefined job profiles like Researchers, Data Scientists, and Common People.
  • Simple and intuitive user interface powered by Streamlit.

How to Use

  1. Installation: Ensure you have Python installed on your machine. Clone this repository and install the required dependencies:

    pip install -r requirements.txt

  2. Run the App: Execute the following command in your terminal to run the Streamlit app:

    streamlit run app.py

  3. Input: Enter the topic for your blog post in the provided text input field.

  4. Additional Inputs: Specify the desired word count for the blog post and select the job profile you are writing the blog for.

  5. Generate: Click the "Generate" button to generate the blog post.

  6. View Output: The generated blog post will be displayed on the app interface.

Example Usage

Here's how you can use the application to generate a blog post:

  1. Input: "Machine Learning in Healthcare"
  2. Word Count: 500
  3. Job Profile: Data Scientist
  4. Click "Generate"
  5. View the generated blog post on the app interface.

Dependencies

  • Streamlit
  • Langchain (for prompts and LLama 2 model)