https://github.com/mihirkudale/question-and-answer-system-based-on-google-palm-llm-and-langchain-for-e-learning-company
e-learning google-palm langchain llm python webapp
Last synced: 7 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/mihirkudale/question-and-answer-system-based-on-google-palm-llm-and-langchain-for-e-learning-company
- Owner: mihirkudale
- Created: 2024-05-29T02:33:35.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-29T02:52:35.000Z (over 1 year ago)
- Last Synced: 2025-01-25T18:11:17.861Z (9 months ago)
- Topics: e-learning, google-palm, langchain, llm, python, webapp
- Language: Jupyter Notebook
- Homepage:
- Size: 233 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Question-and-Answer-System-Based-on-Google-Palm-LLM-and-Langchain-for-E-learning-company
This is an end to end LLM project based on Google Palm and Langchain. We are building a Q&A system for an e-learning company. The company sells data related courses and bootcamps. They have thousands of learners who uses discord server or email to ask questions. This system will provide a streamlit based user interface for students where they can ask questions and get answers.
## Project Highlights
- Use a real CSV file of FAQs that company is using right now.
- Their human staff will use this file to assist their course learners.
- We will build an LLM based question and answer system that can reduce the workload of their human staff.
- Students should be able to use this system to ask questions directly and get answers within seconds
## You will learn following,
- Langchain + Google Palm: LLM based Q&A
- Streamlit: UI
- Huggingface instructor embeddings: Text embeddings
- FAISS: Vector databse
## Installation
1.Clone this repository to your local machine using:
```bash
git clone https://github.com/mihirkudale/Question-and-Answer-System-Based-on-Google-Palm-LLM-and-Langchain-for-E-learning-company.git
```
2.Navigate to the project directory:
```bash
cd Question-and-Answer-System-Based-on-Google-Palm-LLM-and-Langchain-for-E-learning-company
```
3. Install the required dependencies using pip:
```bash
pip install -r requirements.txt
```
4.Acquire an api key through makersuite.google.com and put it in .env file
```bash
GOOGLE_API_KEY="your_api_key_here"
```
## Usage
1. Run the Streamlit app by executing:
```bash
streamlit run main.py
```
2.The web app will open in your browser.
- To create a knowledebase of FAQs, click on Create Knolwedge Base button. It will take some time before knowledgebase is created so please wait.
- Once knowledge base is created you will see a directory called faiss_index in your current folder
- Now you are ready to ask questions. Type your question in Question box and hit Enter
## Sample Questions
- Do you guys provide internship and also do you offer EMI payments?
- Do you have javascript course?
- Should I learn power bi or tableau?
- I've a MAC computer. Can I use powerbi on it?
- I don't see power pivot. how can I enable it?
## Project Structure
- main.py: The main Streamlit application script.
- langchain_helper.py: This has all the langchain code
- requirements.txt: A list of required Python packages for the project.
- .env: Configuration file for storing your Google API key.