APCAS (Any PDF Chatting AI System)

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APCAS stands for Any PDF Chatting AI System, it is basically a RAG (Retrieval Augmented Generation) based application, that optimized for chatting with any PDF in an efficint way, still it is not a professional project So it may have several bugs.

Note

Your Ideas, Sugestions, Contributions always welcome 😃 here.

Technologies used in this Project

• Langchain
• Gemini LLM APIs
• Version Control (Git & Github)
• Web Application (Using Streamlit)
• OOPs (Object Oriented Programming System)
• Python with its libraries and some more techs

How to use locally?

Step 1) Clone Repo

git clone https://github.com/a4archit/apcas.git

Step 2) Install dependencies

pip install -r requirements.txt

Step 3) Add .env file

Create .env file in dir(./APCAS/.env), then add your gemini-1.5-flash model's API key as:

GOOGLE_API_KEY = "Your_API_Key"

Step 4) Activate Stremalit server

Run this command in ./APCAS

streamlit run main_app.py

Working Directory

APCAS
├── apcas.py
├── home_page.py
├── main_app.py
├── materials
│   └── working_flow_diagram.png
├── requirements.txt
├── user_uploaded_file.pdf # it will create when user upload a file
└── working_page.py

Working Flow

Example:

  from apcas import APCAS
  # creating model instance
  model = APCAS('path_of_pdf')
  # running on terminal
  model.run_on_terminal()

Social Accounts

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