---
title: digitizedgemini
app_file: app_gemini.py
sdk: gradio
sdk_version: 5.33.1
---

# DigitizedBrains RAG Chatbot

An intelligent chatbot powered by Google's Gemini AI and Retrieval-Augmented Generation (RAG) technology.

## Features

- **RAG-based Knowledge Retrieval**: Uses comprehensive document knowledge base for accurate responses
- **Multi-document Search**: Intelligently searches and ranks relevant documents
- **Professional AI Representative**: Represents Duc Nguyen and DigitizedBrains company
- **Lead Capture**: Automatically detects and records user contact information
- **Unknown Question Tracking**: Logs questions that couldn't be answered for improvement

## Knowledge Base

The chatbot has access to extensive documentation about:
- Digital transformation strategies
- Business intelligence solutions
- AI implementation approaches
- Company services and expertise
- Industry best practices

## Technology Stack

- **Google Gemini AI**: Advanced language model for natural conversation
- **Gradio**: User-friendly web interface
- **RAG Architecture**: Retrieval-Augmented Generation for knowledge-based responses
- **Python**: Backend implementation

## Usage

Simply start a conversation with the chatbot about:
- Digital transformation consulting
- AI and business intelligence solutions
- Company services and capabilities
- Industry expertise and case studies

The chatbot will provide informed responses based on its comprehensive knowledge base.

## Environment Variables Required

To run this application, you need to set:
- `GEMINI_API_KEY`: Your Google Gemini API key
- `PUSHOVER_TOKEN`: (Optional) For notifications
- `PUSHOVER_USER`: (Optional) For notifications

## Configuration

This Space is configured to run with Gradio and uses the Gemini AI model for intelligent responses.


  Bash(cd Agents_Gemini && huggingface-cli login)
  ⎿  Running in the background (down arrow to manage)

● BashOutput(Reading shell output)
  ⎿     To log in, `huggingface_hub` requires a token generated from htt     
    ps://huggingface.co/settings/tokens .
    Token can be pasted using 'Right-Click'.

Bạn cần:

  1. Truy cập https://huggingface.co/settings/tokens để tạo token     
  2. Paste token vào terminal
  3. Sau khi login, bạn có thể tạo Space bằng lệnh:

  huggingface-cli repo create digitizedbrains-rag-chatbot --type=space
  --space_sdk=gradio



  4. Upload files:
  git init
  git add .
  git commit -m "Initial commit"
  git remote add origin https://huggingface.co/spaces/YOUR_USERNAME/digi     
  tizedbrains-rag-chatbot
  git push origin main

  Lưu ý quan trọng:
  - Bạn cần đặt GEMINI_API_KEY trong Space Settings của Hugging Face
  - Thư mục document/ cần được upload cùng để RAG hoạt động