Emojinator is a fun, witty chatbot that generates short and humorous responses to user inputs using emojis. This project uses advanced language models to analyze user inputs and generate creative responses, adding a playful touch to the conversation with emoji suggestions.
- Accepts user input and analyzes the sentiment or theme.
- Suggests an emoji that matches the input.
- Generates a witty and sarcastic response, incorporating the suggested emoji.
- Provides fun facts about emojis through an interactive and expanding section.
Streamlit is a fast and easy-to-use framework for building web applications. We use it to create the UI and handle user interaction for the Emojinator chatbot.
- Why Streamlit?
- Quick to build interactive applications
- Allows the integration of machine learning models seamlessly
We use the Mistral API, a lightweight API for interacting with powerful language models. It's responsible for generating the witty responses and suggesting emojis based on user inputs.
- Why Mistral?
- Great performance and faster responses.
- Allows the flexibility of using pre-trained language models without complex setup.
This project is entirely built using Python. We use Python for:
- Sending requests to the Mistral API.
- Managing the chatbot logic and emoji suggestion.
While Streamlit doesn't natively support extensive styling, we inject custom CSS to improve the look and feel of the app. Contributors can help by customizing the UI further with CSS.
To run the Emojinator locally, clone this repository and install the required packages:
git clone https://github.com/Deadshot1611/emojinator.git
cd emojinator
pip install -r requirements.txtAdd Your Mistral API Key: Replace the environment variable in the code with your own Mistral API key. Run the Application:
streamlit run emojinator.pyWe welcome contributions from developers of all skill levels! Whether you're a beginner learning web development or an advanced Python developer, there's a task for everyone. Check the CONTRIBUTING.md file for more details.
This project is open-source and licensed under the MIT License.