metadata

title: Text Rewrite with LangChain
emoji: 😎
colorFrom: green
colorTo: blue
sdk: streamlit
app_file: app.py
pinned: false

ReWriteCraft: Text Rewrite with Custom Tone and Dialect 🎨

Introduction

Welcome to ReWriteCraft! 🎉 This project allows you to rewrite your text in a customized tone and dialect using the LLama 3.1 model. The app provides an intuitive interface to input your draft text and apply different tones (Formal/Informal) and dialects (American/British).

This app leverages LangChain and Ollama models to enhance the AI's rewriting capabilities. Whether you want to refine the tone of a formal letter or add a casual touch to your writing, this app has you covered! 📝

Project Structure

The project is organized as follows:

ReWriteCraft/
│
├── app.py                # Main Streamlit application file
├── requirements.txt      # Python dependencies for the project
├── LICENSE               # License file (GNU)
├── README.md             # Project documentation
│
├── assets/               # Folder containing output examples for tone and dialect conversion
│   ├── FormaltoInformal/ # Folder with examples of text converted from formal to informal tone
│   └── InformaltoFormal/ # Folder with examples of text converted from informal to formal tone

Features

Customizable Tone: Choose between Formal or Informal tones for your rewritten text.
Customizable Dialect: Choose between American or British dialects.
Easy-to-use Interface: The app is built using Streamlit, making it interactive and simple.
Quick Response: Rewritten text is generated with the help of the LLama 3.1 model.

Prerequisites

Before running the project, ensure the following requirements are met:

Install Ollama: Ollama is the platform required to run the LLama 3.1 model. Follow the instructions on the Ollama official website to download and install it on your device.
Download LLama 3.1 Model: After installing Ollama, download the LLama 3.1 model by running the following command in your terminal:

ollama pull llama3.1

Python Environment: Ensure you have Python installed on your machine. It's recommended to use Python 3.9 or later for compatibility with the dependencies listed in requirements.txt.

How to Use

Clone the Repository: Clone this repository to your local machine or server:

git clone https://github.com/iSathyam31/ReWriteCraft.git
cd ReWriteCraft

Create a .env file: In the root directory, create a .env file to store your LangChain API key:

LANGCHAIN_API_KEY=your_api_key_here

Install Dependencies: Install the required Python packages listed in the requirements.txt:

pip install -r requirements.txt

Run the App: Once the dependencies are installed, you can run the Streamlit app using:

streamlit run app.py

The app will be accessible in your browser at http://localhost:8501.

Project Constraints

Word Limit: The app currently supports a maximum of 1500 words for input. You can modify this limit in the code if needed. The input text must be within this word count to avoid performance issues.
Tone & Dialect Selection:
- The options for tone (Formal/Informal) and dialect (American/British) are optional. You can choose one or both options based on your needs.
- If you want a specific tone or dialect applied to your text, simply check the corresponding boxes. You can apply both tone and dialect together or choose either one independently.
- This flexibility allows you to get a variety of outputs depending on your selection.

Requirements

You can find the necessary dependencies in the requirements.txt file. Here is the list:

ipykernel
langchain==0.2.10
langchain_community==0.2.10
langchain-openai==0.1.17
langchain-groq==0.1.6
langchain-ollama==0.1.0
python-dotenv==1.0.1
streamlit

License

This project is licensed under the GNU General Public License v3.0. See the LICENSE file for more information.

Acknowledgements

LangChain: Used for integrating LLMs and text processing functionalities.
Ollama: The primary language model used in this project (LLama 3.1) for text generation.
Streamlit: The framework used to build this interactive web app.

Thanks to all the developers and contributors of these tools for making them available to the open-source community! 🙌