Blog Generation using Ollama

Overview

This project is a Blog Generation System that utilizes Streamlit and Ollama to generate blog content based on user input. It leverages the gemma:2b model and external resources like Wikipedia and DuckDuckGo search to enhance content generation.

Features

• Blog Generation: Generates a blog with the following sections:
  • Heading
  • Introduction
  • Content
  • Summary
• Research Tools: Uses DuckDuckGo Search and Wikipedia to gather information.
• Streamlit Interface: Provides a simple web interface for users to input a topic and view the generated blog.
• Download Option: Allows users to download the generated blog as a .txt file.

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Requirements

To run this project, you need the following:

1. Python 3.8 or later
2. Ollama: A lightweight framework for running large language models locally.
3. Streamlit: For the web interface.
4. LangChain: For integrating the language model and tools.
5. Additional Libraries: duckduckgo-search, wikipedia-api, etc.

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Installation and Setup

Step 1: Install Ollama

Download and install Ollama from the official website: Ollama.

Step 2: Pull the Gemma Model

Run the following command to download the gemma:2b model:

bash

ollama pull gemma:2b

Step 3: Install Required Libraries

Install the necessary Python dependencies using pip:

bash

pip install streamlit langchain langchain-community duckduckgo-search wikipedia-api

Running the Project

Start the Ollama Server

Ensure the Ollama server is running in the background before launching the application:

bash

ollama serve

Run the Streamlit App

Navigate to the project directory and run the Streamlit app using:

bash

streamlit run app.py

Use the App

1. Open the URL displayed in the terminal (usually http://localhost:8501).
2. Enter a blog topic in the input field and click Generate Blog.
3. View the generated blog and download it using the Download Blog button.

Project Structure

Blog-Generation-using-ollama/
├── app.py # Main Streamlit app code
├── README.md # Project documentation
└── requirements.txt # List of dependencies

License

This project is open-source and available under the MIT License.

Contributing

Feel free to contribute by submitting pull requests or reporting issues.