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https://github.com/promptable/gpt3-interview-bot
GPT3 Interview Chatbot
https://github.com/promptable/gpt3-interview-bot
chatbot gpt3 llms openai python3 streamlit
Last synced: 3 months ago
JSON representation
GPT3 Interview Chatbot
- Host: GitHub
- URL: https://github.com/promptable/gpt3-interview-bot
- Owner: promptable
- License: mit
- Created: 2022-11-24T01:36:57.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2022-12-01T17:00:33.000Z (almost 2 years ago)
- Last Synced: 2024-06-15T06:35:29.254Z (5 months ago)
- Topics: chatbot, gpt3, llms, openai, python3, streamlit
- Language: Python
- Homepage: http://gpt-interview-bot.fly.dev
- Size: 346 KB
- Stars: 21
- Watchers: 4
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-ChatGPT-repositories - gpt3-interview-bot - GPT3 Interview Chatbot (Prompts)
README
# GPT3 Interview Bot
Give yourself practice interviews with GPT3. Paste in Resume, Question, get interviewed, and receive feedback.
Try it at: http://gpt-interview-bot.fly.dev
## Setup
Requires Python 3.6+. Tested on Mac M1 Python 3.9.
1. Create an account with OpenAI and add your API key to `.env.secrets`
2. Install python requirements.
```bash
# Ensure you're using python 3.6+
python3 --version
# Uses your default python environment
pip3 install -r requirements.txt
# Alternatively, create a virtual environment (recommended)
pip3 install virtualenv
virtualenv .venv --python python3
source .venv/bin/activate
pip3 install -r requirements.txt
```
NOTE: If you're on Mac M1, and get stuck installing gevent / grpcio, try this:
```bash
pip3 install --no-cache-dir --upgrade --force-reinstall -Iv grpcio gevent
pip3 install -r requirements.txt
```
3. Run streamlit
```bash
# Run the streamlit app
streamlit run interview_streamlit.py
# Should open a new tab in your browser at
http://localhost:8501/
# If running on remote box (EC2, etc). Expose the port, then:
streamlit run --server.headless true interview_streamlit.py --server.port 8502
```
## Adding passwords
Do this to get password protection. (Also need to wrap main() call in the password check)
```bash
# .streamlit/secrets.toml
password = "yourpassword"
```
## Deploy
Deploy using Docker and Fly.io
- https://docs.streamlit.io/knowledge-base/tutorials/deploy/docker
- https://fly.io/docs/reference/secrets/#setting-secrets
```bash
fly launch
fly deploy --local-only
```