https://github.com/benfoxyy/ai-chatapp
This is an AI chat bot designed and deployed by streamlit
https://github.com/benfoxyy/ai-chatapp
ai chatbot streamlit
Last synced: 2 months ago
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This is an AI chat bot designed and deployed by streamlit
- Host: GitHub
- URL: https://github.com/benfoxyy/ai-chatapp
- Owner: Benfoxyy
- License: mit
- Created: 2025-01-30T13:33:48.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-12T18:33:38.000Z (over 1 year ago)
- Last Synced: 2025-02-12T19:39:00.803Z (over 1 year ago)
- Topics: ai, chatbot, streamlit
- Language: Python
- Homepage: https://benbot.streamlit.app/
- Size: 12 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
AI Chat Bot With Streamlit 🤖
This project is a AI chatbot application built using Streamlit and OpenAI's GPT model. The chatbot allows users to interact with an AI assistant in real-time.
# Planning For Future
This bot is not compleated yet, And i've got multiple ideas to add it in future like :
- AI history
- Multiple AI models ( user can select through it )
- Plans system like FREE, STANDARD, PRO, UNLIMITED
# Setup
### Deployment
If you wanna just see and work with the resualt, I've deployed my project with `Streamlit Cloud` and you can access to it with this url : https://benbot.streamlit.app
But if you need to use it in you project or deal with their structures,
you can follow these easy steps :
### Clone Project
For cloning this project in you computer you can just enter this `git` command in your `terminal` and open it :
```bash
git clone https://github.com/Benfoxyy/AI-ChatApp.git
cd
```
### Virtual Environment
Now lets create a virtual environment ( venv ) for manage and our installing pakages :
```bash
python -m venv venv
```
Active your `venv` for working with it :
```bash
# Windows
venv\Scripts\activate
# macOS and Linux
source venv/bin/activate
```
### Requirements
I put every single pakages you need to install in `requeirements.txt` file, So you can just run this command in your `venv` :
```bash
pip install -r requirements.txt
```
### API Key
Set up OpenAI API Key: You will need to set up your OpenAI API key. You can get this key from OpenAI's platform .
Once you have your key, create a `.streamlit/secrets.toml` file in your project directory with the following content:
```toml
[openai]
api_key = ""
```
### Run It!
As i said ; I've used `streamlit` for this project, in spite of this we're gonna run it on streamlit client :
```bash
streamlit run AI.py
```
By running this command you will see the resault in you browser 🎉
### License
This project is licensed under the MIT License - see the LICENSE file for details.
Thanks for visiting
I hope that you enjoy it, Let me know if you have any suggestion 😉