CA-ThinkFlow 💡

📊 CA-ThinkFlow is an AI-powered financial consulting application 🧠💰 designed to assist users with various financial queries 📈💬. 🛠️ Built using Streamlit 🖥️ and LangChain 🔗, this application leverages advanced language models 🤖📚 to provide accurate and context-aware responses to user questions related to finance 💹🔍.

---

CA.mp4

---

✨ Features

• 🖥️ Interactive UI: A user-friendly interface that allows users to input their financial questions and receive instant responses.
• 🔍 Predefined Queries: Quick access buttons for common financial questions, making it easier for users to get information.
• 🕒 Conversation History: Keeps track of user interactions for reference and continuity.
• 🛠️ Robust Error Handling: Ensures smooth operation even in the case of unexpected issues.

🛠️ Technologies Used

• 🖥️ Streamlit: For building the web application interface.
• 🔗 Langchain: For managing the language model and retrieval QA chain.
• 💾 FAISS: For efficient similarity search and retrieval of relevant documents.
• 💡 HuggingFace Embeddings: For generating embeddings to enhance the retrieval process.

Installation

To run this project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/thejatingupta7/CA-ThinkFlow
   cd CA-Thinkflow

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required packages:

   pip install -r requirements.txt

4. Ensure you have the necessary models and data files in the vectorstore directory.

Usage

To start the application, run the following command:

streamlit run app.py

Open your web browser and navigate to http://localhost:8501 to access the application.

Contributing

Contributions are welcome! If you have suggestions for improvements or new features, feel free to open an issue or submit a pull request.

📜 License

This project is licensed under the MIT License. See the LICENSE file for details.