nicholasling / dba-genai-workshop

Generative AI Workshop Kit

Enabling teachers to experiment with LLM/ Generative AI in a Q&A chatbot

This kit will automatically:

• Create a login page and all the features of a full stack application using ant_components
• Create an administrator account, password is pass1234 in a SQL Database

Key Features:

• Upload documents and build a knowledge base using the OpenAI embeddings
• Enable semantic search on uploaded documents via LanceDB
• Preset custom prompt engineering to guide interactions for Q&A
• Latest features of Generative AI

User-role specific features

Note

This app comes with the following user roles: admins, teachers, and students

• Admins can reset passwords of students and teachers
• Teachers can add and remove documents
• Teachers can build and remove knowledge base (VectorStores)
• Admins can edit knowledge base and documents
• Students can load their own knowledge base for their own chatbot

You can fork it at streamlit community cloud, it can be used straight away, just add the following to your streamlit secrets

Important

The following env variables are required for setup. You can add this to the secrets.toml file in your streamlit deployment

openai_key = "YOUR_OPEN_API_KEY"
cohere_key = "YOUR_OPEN_API_KEY - COHERE LLM API KEY"
google_key = "YOUR_OPEN_API_KEY - GEMINI PRO API KEY"
default_db = "chergpt.db"
default_temp = 0.0
default_frequency_penalty = 0.0
default_presence_penalty = 0.0
default_k_memory = 4
default_model = "gpt-4o"
default_password = "default_password"
student_password = "studentp@sswrd"
teacher_password = "teacherp@sswrd"
super_admin_password = "pass1234"
super_admin = "super_admin"
default_title = "DBA GenAI Workshop"
sql_ext_path = "None"
NLTK_DATA ="./resources/nltk_data_dir/"
TWILIO_ACCOUNT_SID = "OPTIONAL YOU CAN REMOVE"
TWILIO_AUTH_TOKEN = "OPTIONAL YOU CAN REMOVE"
AWS = ""