gemini-project
🧠 its_ok_gemini
A lightweight API-based project built with Python that processes JSON POST requests, runs on a Dockerized environment, and uses environment variables for configuration. The project is designed for flexibility and deployment readiness.
📋 Summary
its_ok_gemini is a Python web service designed to handle JSON-based POST requests efficiently.
It’s containerized using Docker for smooth deployment and portability.
The environment configuration is handled securely through an env.txt file.
⚙️ Setup
-
-
Create a Virtual Environment
python -m venv venv
venv\Scripts\activate # Windows
OR
source venv/bin/activate # macOS/Linux
-
Install Dependencies
pip install -r requirements.txt
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Set Up Environment Variables
Create a .env file or rename env.txt → .env, then add your credentials and keys (for example):
API_KEY=your_api_key_here
DEBUG=True
PORT=5000
🐳 Run with Docker
If you prefer containerization:
docker build -t its_ok_gemini .
docker run -p 5000:5000 its_ok_gemini
▶️ Usage
The project expects JSON POST requests.
You can test it using curl or any API client (like Postman).
Example:
curl -X POST
http://localhost:5000/analyze
-H "Content-Type: application/json"
-d '{"message": "Hello Gemini"}'
Check the file json-post-requests.txt for more sample inputs.
🧩 Code Explanation
main.py
Loads environment variables.
Sets up a lightweight server (likely using Flask or FastAPI).
Handles POST requests from clients.
Returns JSON responses with the processed or analyzed data.
requirements.txt
Lists all dependencies needed to run the project.
Install them with pip install -r requirements.txt.
Dockerfile
Defines how to build the Docker image — installs dependencies, copies code, and runs the app.
env.txt
Contains configurable environment variables (rename to .env before running).
🧪 Example Workflow
Start the app locally or in Docker.
Send a JSON POST request to your endpoint.
Receive and parse the JSON response.
This setup is ideal for API testing, automation tools, or lightweight AI endpoints.
🧾 License
This project is licensed under the MIT License — see below:
MIT License
Copyright (c) 2025 Tanya Singh
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
[Full MIT license text continues...]
