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https://github.com/arnavk-09/model_rishab
🐵 Custom Trained Model to Act as my Friend...
https://github.com/arnavk-09/model_rishab
chatbot dataset friendly sklearn streamlit trained-models
Last synced: 8 days ago
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🐵 Custom Trained Model to Act as my Friend...
- Host: GitHub
- URL: https://github.com/arnavk-09/model_rishab
- Owner: ArnavK-09
- Created: 2023-08-15T15:36:49.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-08-17T02:01:19.000Z (over 1 year ago)
- Last Synced: 2025-02-03T09:47:27.474Z (11 days ago)
- Topics: chatbot, dataset, friendly, sklearn, streamlit, trained-models
- Language: Python
- Homepage: https://talk-to-rishab.streamlit.app
- Size: 182 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Talk To Rishab! 🐵
Welcome to the "Talk To Rishab!" project repository! 🎉
## Introduction
"Talk To Rishab!" is a fun and interactive chatbot project that brings the whimsical character of Rishab, a quirky and lovable child, to life. With this project, you can engage in playful conversations with Rishab, who is known for his love of anime, amusing antics, and hilarious jokes.
## Features
- Have entertaining conversations with the charming Rishab.
- Explore Rishab's unique personality and interests, including his favorite anime and funny anecdotes.
- Enjoy a wide range of responses, from witty comebacks to comical jokes.
## Technology Stack
- Python 🐍
- Streamlit 🌟
- Scikit-learn 🧠
- RandomForestClassifier 🌲
- Pandas 🐼
## Contribute
We welcome contributions to make Rishab even more amusing and engaging! Feel free to:
- Add new dialogues and responses to enhance Rishab's conversational abilities.
- Improve the existing model by experimenting with different machine learning techniques.
- Suggest new features or enhancements that would elevate the user experience.
## Usage
1. Create the model binary by running:
```bash
python model.py
```
2. Run the Streamlit app:
```bash
streamlit run app.py
````
## Deployment
You can deploy the Streamlit app using the following steps:
1. Deploy on [share.streamlit.io](https://share.streamlit.io/):
- Create an account on Streamlit's sharing platform.
- Follow the deployment instructions to host the app online.
2. For cloud deployment, check out the **` [deployable-code-for-streamlit-share](https://github.com/ArnavK-09/model_rishab/tree/deployable-code-for-streamlit-share) `** which contains code optimized for cloud deployment platforms.
## Have Fun Chatting with Rishab! 🤣
Feel free to explore the world of Rishab, indulge in humorous conversations, and share a laugh with this charming chatbot. Enjoy the playful banter and witty retorts that Rishab has to offer!