Answer_Query_Flask_App

This repository hosts a Flask-based API for answering user queries using Gemini and Pinecone integrations.

🚀 Getting Started

1. Clone the Repository

Open a terminal in your desired folder and run:

git clone https://github.com/vijender883/Answer_Query_flask_app
cd Answer_Query_flask_app

---

2. Set Up Virtual Environment

🪟 Windows CMD:

python -m venv venv
venv\Scripts\activate
pip install -r requirements.txt

---

🪟 Windows PowerShell:

Open PowerShell:

• Search for "PowerShell" in the Start menu and open Windows PowerShell.
• Navigate to your desired folder:

cd C:\Users\YourUser\Documents\GitHub

Create a Virtual Environment:

python -m venv venv

This creates a folder named venv in your project directory.

Activate the Virtual Environment:

.\venv\Scripts\Activate.ps1

Note: If you encounter an execution policy error, run:

Set-ExecutionPolicy -Scope Process -ExecutionPolicy Bypass

Then try activating again. To revert later:

Set-ExecutionPolicy -Scope Process -ExecutionPolicy Default

You should now see (venv) in your prompt.

Install Required Packages:

pip install -r requirements.txt

---

🍏 macOS Terminal:

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

---

🐧 Linux Terminal:

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

---

3. Create a .env File

In the root of the project, create a file named .env and add the following:

GEMINI_API_KEY=your_gemini_api_key
PINECONE_API_KEY=your_pinecone_api_key
PINECONE_CLOUD=aws
PINECONE_REGION=us-east-1
PINECONE_INDEX=your_index_name
MCP_PORT=8000

---

4. Run the App

python answer_query.py

Server will run at: http://127.0.0.1:5000

---

5. Test the API with Postman

POST request to: http://127.0.0.1:5000/api/answer

JSON Body:

{
  "query": "your query about the data",
  "previous_chats": "optional previous context"
}

---

📫 Contact

For questions or suggestions, feel free to open an issue or contact the repo maintainer.