Python Streamlit web app allowing the user to upload multiple files and then utilizing the OpenAI API GPT 3.5 Turbo language models, the user is able to have a conversation about the uploaded documents. The user is also allowed to specify the language model and the temperature/creativity of the model. Also presented with a drop down for PDF analytics.
V5 Improvements
- OpenAI API Authentication System acting as a login system
- Improved Modularity and Readibility of Code
Example Demo V4 - multiPDF_V4_Demo.webm
Video Demo Coming Very Soon Improvements Include:
- Improved Modularity and Readibility of Code
- Added PDF Analytics Sidebar Dropdown
- Implemented VADER Sentiment Scoring (Valence Aware Dictionary and sEntiment Reasoner) Visualizations
- Added Tab to Display Source Code
- Implemented Prompts for specific roles and personalities, currently: general assistant, academic, witty
- Implemented a PDF DropDown for PDF Analytics - currently: word and character count
- Improved modularity of code
- Improved Error Handling
- Added customizable settings (Model, Temperature)
