Bytsie learn

How It Works

The application follows these steps to provide responses to your questions:

PDF Loading: The app reads multiple PDF documents and extracts their text content.
Text Chunking: The extracted text is divided into smaller chunks that can be processed effectively.
Language Model: The application utilizes a language model to generate vector representations (embeddings) of the text chunks.
Similarity Matching: When you ask a question, the app compares it with the text chunks and identifies the most semantically similar ones.
Response Generation: The selected chunks are passed to the language model, which generates a response based on the relevant content of the PDFs.

To run Bytsie App, please follow these steps:

Clone the repository to your local machine.
Install the required dependencies by running the following command:
```
pip install -r requirements.txt
```
Obtain an API key from OpenAI and add it to the .env file in the project directory.

pip install -r requirements.txt

Run the app.py file using the Streamlit CLI. Execute the following command:
```
streamlit run app.py
```