EduBot is a powerful Streamlit-based application designed to help researchers, students, and professionals easily upload, fetch, summarize, and query academic research papers using LangChain, FAISS, and OpenAI's LLM.
- 📥 Upload PDFs or text files
- 🌐 Fetch and process papers from URLs
- 🧠 Split documents into chunks and embed using FAISS
- 🤖 Ask academic questions and get accurate answers from the content
- 📌 Source tracking for every answer
- 💻 Beautiful and responsive Streamlit interface
- Streamlit – Frontend app framework
- LangChain – Document loaders, retrievers, and QA chain
- OpenAI – LLM and Embeddings (gpt-3.5-turbo)
- FAISS – Vector database for semantic search
- Python – Core language
bash git clone https://github.com/your-username/edubot.git cd edubot
Create a virtual environment and install required packages:
bash pip install -r requirements.txt
Make sure Python 3.8+ is installed.
Create a .env file and add your OpenAI API key:
OPENAI_API_KEY=your_openai_key_here
bash streamlit run main.py
The app will launch in your browser.
Here's the visual workflow of how the app functions:
EduBot_Academic_Research_Assistant/ │ ├── main.py ├── requirements.txt ├── democodepython/ ├── vector_index.pkl │ README.md workflow.png
- Developed by PKK
- Powered by OpenAI, LangChain, and Streamlit
This project is licensed under the MIT License.
edit this code and my above pictures with explantion and edit that photos also give me readme.md file