https://github.com/farhan0167/qnachatbot
A chatbot that parses your PDF files and answers your questions around that file using GPT
https://github.com/farhan0167/qnachatbot
embeddings embeddings-similarity gpt-3 python3 streamlit
Last synced: about 2 months ago
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A chatbot that parses your PDF files and answers your questions around that file using GPT
- Host: GitHub
- URL: https://github.com/farhan0167/qnachatbot
- Owner: farhan0167
- Created: 2023-07-22T19:32:55.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-09-13T19:24:49.000Z (almost 3 years ago)
- Last Synced: 2025-03-01T13:43:10.773Z (over 1 year ago)
- Topics: embeddings, embeddings-similarity, gpt-3, python3, streamlit
- Language: Jupyter Notebook
- Homepage:
- Size: 24.1 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# QnAChatBot
### [Live Demo](https://qnachatbotgit-wt3gsf18sv.streamlit.app/)
QnAChatBot allows you to upload text heavy pdf documents, and chat with the bot based on the document.
## Use Cases
1. Company financials, and earnings call analyzer.
2. Ask questions about a Terms and Services document to uncover what you're legally signing up for.
3. Write cover letters based on resumes.
4. Ask questions on course work, lab materials, or any educational document
## Prior Work
This work is inspired from my HackNYU Hackathon project, [GPT Tutor](https://devpost.com/software/tutor-bot). We built a Discord Bot that is able
to synthesize course material uploaded by a professor, and serve as a 24/7 available teacher's assistant. The success of the work enables us to expand beyond
just coursework, and extend it to a wider usecase.
## To Reproduce (On MacOS)
1. Clone this repository
```bash
git clone https://github.com/farhan0167/QnAChatBot
cd QnAChatBot
```
2. Configure OpenAI API key and secrets folder
```bash
mkdir .streamlit
cd .streamlit
nano secrets.toml
```
and paste the following:
```
OPENAI_API_KEY = "your-openAI-api-key"
```
Press `Control+X` and `Y` to exit the editor. Go back to project directory:
3. Install dependencies
```bash
pip install -r requirements.txt
```
4. Run the Application
```bash
streamlit run app.py
```