README.md

Odia Lingua 🐚🤖

Jay Jagannath 🙏🕉️, Odia Lingua is an end-to-end generative AI chatbot for the Odia language. It utilizes the Groq API for chat generation and features a Text-to-Speech (TTS) functionality for Odia using the Facebook/mms-tts-ory API. The chatbot also incorporates real-time information retrieval using Google Search API.

Features:

• Chatbot powered by Groq AI for conversational responses in Odia.
• Real-time information retrieval using Google Search API.
• Text-to-Speech (TTS) feature for generating audio in Odia language.
• End-to-end generative AI project.

Setting Up:

To set up Odia Lingua locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/HimanshuMohanty-Git24/Odia_Lingua.git
   

2. Navigate into the project directory:

   cd Odia_Lingua
   

3. Create a .streamlit directory:

   mkdir .streamlit
   

4. Inside the .streamlit directory, create a secrets.toml file.

5. Add your API keys to the secrets.toml file:

   GROQ_API_KEY = "<Your-groq-api-key>"
   HUGGINGFACE_API_KEY = "<Your-huggingface-api-key>"
   GOOGLE_API_KEY = "<Your-google-api-key>"
   GOOGLE_CSE_ID = "<Your-GOOGLE_CSE_ID>"
   

   To get the API keys, go to the respective websites:

   • Groq: [Link to Groq API keys]
   • Huggingface: https://huggingface.co/settings/tokens
   • Google Search API: Link to Google Cloud Console
   • Google CSE ID: CSE ID

6. Create and activate a Conda environment:

   conda create --name odia_lingua_v2
   conda activate odia_lingua_v2
   

Requirements(requirements.txt):

Ensure you have the following dependencies installed:

• streamlit
• groq
• python-dotenv
• requests
• langchain
• google-search-results

You can install them using:

pip install -r requirements.txt

Usage:

To run the application locally, execute the following command:

streamlit run Chatbot.py

Contributing:

Contributions are welcome! Feel free to open issues and pull requests.

License:

This project is licensed under the MIT License.