Welcome to LangChain ChatBot, a streamlined chat application powered by LangChain and OpenAI's text-davinci-003 model. Engage in dynamic conversations by entering your queries and witnessing the model's responses. The app is built using Streamlit, providing an intuitive interface for an immersive language interaction experience. Join the conversation and explore the possibilities of natural language processing!
- Langchain
- OpenAI
- HuggingFace Hub
- Streamlit
This will help you understand how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
Follow these steps to install and set up the project directly from the GitHub repository:
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Clone the Repository
- Open your terminal or command prompt.
- Navigate to the directory where you want to install the project.
- Run the following command to clone the GitHub repository:
git clone https://github.com/KalyanMurapaka45/Chatbot-Using-Langchain.git
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Create a Virtual Environment (Optional but recommended)
- It's a good practice to create a virtual environment to manage project dependencies. Run the following command:
conda create -p <Environment_Name> python==<python version> -y
- It's a good practice to create a virtual environment to manage project dependencies. Run the following command:
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Activate the Virtual Environment (Optional)
- Activate the virtual environment based on your operating system:
conda activate <Environment_Name>/
- Activate the virtual environment based on your operating system:
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Install Dependencies
- Navigate to the project directory:
cd [project_directory] - Run the following command to install project dependencies:
pip install -r requirements.txt
- Navigate to the project directory:
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Run the Project
- Start the project by running the appropriate command.
python app.py
- Start the project by running the appropriate command.
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Access the Project
- Open a web browser or the appropriate client to access the project.
This project utilizes the OpenAI GPT-3 API for generating responses. To run the chatbot with the API, you'll need to obtain an API key from OpenAI. Follow the steps below to set up your API key:
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Sign Up on OpenAI Platform:
- If you don't have an account, sign up on the OpenAI platform.
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Create a New API Key:
- Once logged in, navigate to the API section or dashboard.
- Create a new API key by following the on-screen instructions.
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Copy Your API Key:
- After creating the API key, copy it from the OpenAI platform.
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Create a .env File:
- In the project's root directory, create a file named .env.
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Add API Key to .env:
- Open the
.envfile in a text editor. - Add the following line, replacing your-api-key with the actual API key:
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OPENAI_API_KEY=your-api-key
- Save the file.
- Open the
The project automatically reads the API key from the .env file using the python-dotenv library. Once the key is added to the .env file, the chatbot will use it to interact with the OpenAI GPT-3 API.
Note: Ensure the .env file is kept secure and not shared publicly, as it contains sensitive information.
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch
- Commit your Changes
- Push to the Branch
- Open a Pull Request
Distributed under the MIT License. See LICENSE.txt for more information.
Hema Kalyan Murapaka - @[email protected]
We'd like to extend our gratitude to all individuals and organizations who have played a role in the development and success of this project. Your support, whether through contributions, inspiration, or encouragement, has been invaluable. Thank you for being a part of our journey.