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https://github.com/tomkat-cr/json_ingest_chatbot
JSON ingest chatbot using Python, Langchain and OpenAI GPT models
https://github.com/tomkat-cr/json_ingest_chatbot
ai chatbot-application gpt-3 gpt-4 langchain langchain-python openai-api python3 streamlit
Last synced: 21 days ago
JSON representation
JSON ingest chatbot using Python, Langchain and OpenAI GPT models
- Host: GitHub
- URL: https://github.com/tomkat-cr/json_ingest_chatbot
- Owner: tomkat-cr
- License: gpl-2.0
- Created: 2023-06-29T11:36:10.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-07-28T17:35:29.000Z (over 1 year ago)
- Last Synced: 2024-10-26T16:51:57.676Z (2 months ago)
- Topics: ai, chatbot-application, gpt-3, gpt-4, langchain, langchain-python, openai-api, python3, streamlit
- Language: Python
- Homepage:
- Size: 164 KB
- Stars: 1
- Watchers: 1
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
Awesome Lists containing this project
README
# json_ingest_chatbot
JSON ingest chatbot using Python, Langchain and OpenAI GPT models
This repository contains the source code for a chatbot application that interacts with multiple JSON data documents and/or Git repositories. The application uses `OpenAI` GPT models to generate conversational responses based on the contents of the JSON files, Git repositories and other sources, and `streamlit` for the web interface.
## Repository Contents
- `src/main.py`: This script runs the main part of the application. It includes functionalities such as JSON files uploading, input of Git repository URL or local path, extracting data from JSON files, handling user inputs, generating conversational responses, and setting up the Streamlit application.
- `vector_index.py`: all vector related operations, using Langchain's VectorstoreIndexCreator and other conversational Langchain libraries.
- `src/json_reader.py`: JSON files loader (all loaders use Langchain document loader libraries).
- `src/git_reader.py`: Git repository URL or local path loader.
- `src/pdf_reader.py`: PDF files loader.
- `src/youtube_reader.py`: Youtube video loader.
- `src/htmlcss.py`: Contains the HTML and CSS templates used to structure and style the web application.
## How to Run the Application
To run the application, execute the following command in the terminal:
```bash
streamlit run src/json.py
```
You will also need to provide your own API key to access OpenAI.
## Instructions for Use
1. Run the application with the command above.
2. Navigate to the browser window that opens. Usually it's: http://localhost:8501/
3. In the sidebar, upload the JSON files you want the chatbot to interact with.
4. Configure the GPT model and temperature options as desired.
5. Click "Process" and wait for the JSON files to be processed.
6. Enter your questions in the input box and receive responses from the chatbot.
## Question examples:
Write a readme.md file for this repository content.
Give me a pytest file for this repository content.
Describe the supplied context files.
Describe the supplied context.
## Contributors
[Your Name] - [Your Email]
[Contributor Name] - [Contributor Email]
Please feel free to suggest improvements, report bugs, or make a contribution to the code.
## License
This project is licensed under the terms of the MIT license.
## Acknowledgements
This project uses OpenAI's GPT models and Streamlit. We appreciate their contributions to the open-source community.
Readme generate by [The AI Readme Generator](https://github.com/tomkat-cr/ai_readme_generator/)