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Alqama022 / repository
A custom GPT chatbot that retrieves and analyzes article content with precision. Using BeautifulSoup and API ingestion, it processes 7,000+ words into structured inputs. Deployed with Python Poetry on PrivateGPT and tested on 10+ articles, it demonstrates strong skills in NLP, integration, and deployment.
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Conversational Q&A Chatbot 🤖
A simple Streamlit-based conversational chatbot powered by LangChain and OpenAI GPT models. The app demonstrates how to build a Q&A chatbot with conversational memory, customizable responses, and integration with environment variables for secure API key management.
🚀 Features
Interactive Streamlit UI for chatting
Uses LangChain with ChatOpenAI for LLM-powered responses
Maintains conversation history using session state
Supports dotenv for API key management
Example notebook (langchain.ipynb) for experimenting with LangChain workflows
Lightweight and easy to deploy
📂 Project Structure ├── app.py # Streamlit chatbot app ├── langchain.ipynb # Notebook for LangChain experimentation ├── requirements.txt # Python dependencies
⚙️ Installation
Clone the repository
git clone https://github.com/your-username/conversational-qa-chatbot.git cd conversational-qa-chatbot
Create and activate a virtual environment
python -m venv venv source venv/bin/activate # On macOS/Linux venv\Scripts\activate # On Windows
Install dependencies
pip install -r requirements.txt
Set environment variables Create a .env file in the project root:
OPENAI_API_KEY=your_api_key_here
▶️ Usage
Run the Streamlit app:
streamlit run app.py
Open the local URL provided (default: http://localhost:8501) and start chatting!
📒 Notebook
Use langchain.ipynb to explore LangChain pipelines, embeddings, and prompt engineering in Jupyter.
🛠️ Requirements
Dependencies are listed in requirements.txt :
langchain
openai
huggingface_hub
python-dotenv
streamlit
📌 Future Improvements
Support for multiple LLM providers
Improved conversational memory (vector database integration)
Option to toggle between Q&A mode and fun/creative mode
Selected from shared topics, language and repository description—not editorial ratings.
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