streamlit app live

🦠 Ebola Virus Guidance Assistant

An AI-powered Ebola Virus Guidance Chatbot built with Streamlit, LangChain, Google Gemini, and Pinecone.
The system delivers brief, accurate, and reliable Ebola-related health guidance using a Retrieval-Augmented Generation (RAG) pipeline over a curated medical knowledge base.

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🚀 Features

• 🧠 Retrieval-Augmented Generation (RAG)
• 📄 PDF-based medical knowledge ingestion
• 🤖 Google Gemini 2.0 Flash for fast responses
• 🔍 Semantic search with Pinecone
• 🧵 Conversational memory with LangChain
• ⚡ Concurrent embedding and batched vector upserts
• 🖥️ Interactive Streamlit chat interface

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🏗️ Project Structure

.
├── main.py                  # Streamlit app (chat UI + inference)
├── pinecone.py              # PDF ingestion & vector indexing
├── combined_ebola_pdf.pdf   # Ebola knowledge base
├── .env                     # API keys
├── requirements.txt
└── README.md

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🧠 System Architecture (RAG Pipeline)

1. Document Ingestion

   • Ebola PDFs are loaded and split into overlapping chunks
   • Chunks are embedded using Google Generative AI Embeddings
   • Embeddings are stored in a Pinecone vector index

2. Question Answering

   • User submits a question via Streamlit
   • Question is embedded and queried against Pinecone
   • Top relevant document chunks are retrieved
   • Retrieved context + system prompt is sent to Gemini 2.0 Flash
   • Model returns a concise, accurate response

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🔑 Environment Variables

Create a .env file in the project root:

PINECONE_API_KEY=your_pinecone_api_key
GOOGLE_API_KEY=your_google_api_key


## 📦 Installation

### 1️⃣ Clone the Repository
```bash
git clone https://github.com/your-username/ebola-virus-guidance-assistant.git
cd ebola-virus-guidance-assistant

## Dependencies installation

pip install -r requirements.txt

## Before run, indexing the document into pinecone

python pinecone.py

## Run the application

streamlit run main.py


## Example Prompt

- What are the early symptoms of Ebola?

- How is Ebola transmitted?

- What preventive measures reduce Ebola infection risk?

- Is Ebola curable?

## ⚠️ Disclaimer

This project is intended **for educational and informational purposes only**.  
It **does not replace professional medical advice, diagnosis, or treatment**.

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## 🛠️ Technologies Used

- Python  
- Streamlit  
- LangChain  
- Google Gemini 2.0 Flash  
- Google Generative AI Embeddings  
- Pinecone Vector Database  
- PDF Processing  
- Concurrent & Batched Vector Operations  

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## 👤 Author

**Haruna Adegoke**  
Applied AI / Machine Learning Engineer

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## 📄 License

This project is licensed under the **MIT License**.