README.md

---
title: Quantum-API
emoji: 🚀
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colorTo: indigo
sdk: docker
python_version: 3.11
sdk_version: latest
suggested_hardware: cpu-basic
suggested_storage: small
app_file: app.py
app_port: 7860
base_path: /
fullWidth: true
header: default
short_description: Quantum-AI API for machine learning and quantum computing.
models:
- openai-community/gpt2
datasets:
- mozilla-foundation/common_voice_13_0
tags:
- quantum-ai
- machine-learning
- fastapi
- streamlit
- huggingface-spaces
- docker
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/66ee940c0989ae1ac1383839/MseLCVmNge3tBJzqDbN1c.jpeg
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preload_from_hub:
- openai-community/gpt2 config.json
license: mit
---

# 🚀 Quantum-API

## 🔬 Overview

**Quantum-API** is a hybrid **FastAPI** + **Streamlit** web application that serves as a unified interface for quantum computing tasks. It integrates **PennyLane**, **PyTorch**, and **OpenAI models** via Hugging Face. Optimized for resource-constrained systems and cloud deployments such as Hugging Face Spaces.

> ⚙️ Quantum-AI API for machine learning and quantum computing, powered by FastAPI, Streamlit, and PennyLane.

---

## ⚡ Features

- 🔗 **FastAPI Backend**: RESTful endpoints for quantum ML processing.
- 🧠 **Streamlit Frontend**: Interactive quantum interface on `port 7861`.
- 🧪 **Quantum Computation**: Process quantum logic with PennyLane.
- 📦 **Docker & HuggingFace Compatible**: Pre-configured for Spaces deployment.
- 🛡️ **Health Check**: System status endpoint.
- ⚛️ **Hybrid Quantum-Classical AI**: Combines classical ML with quantum gates.

---

## 🛠️ Installation

### 1. Clone the Repository
```bash
git clone https://github.com/subatomicERROR/Quantum-API.git
cd Quantum-API

2. Create a Virtual Environment (Recommended)

python3 -m venv qvenv
source qvenv/bin/activate  # For Linux/macOS
# OR
qvenv\Scripts\activate  # For Windows

3. Install Requirements

pip install -r requirements.txt

🚀 Running the App Locally
1. Start the Backend (FastAPI)

uvicorn api.endpoints.codelama:app --host 0.0.0.0 --port 7860 --reload

Accessible at: http://localhost:7860
2. Start the Frontend (Streamlit)

streamlit run app/app.py --server.port 7861

Accessible at: http://localhost:7861
🔌 API Endpoints
🌐 Root

GET /

    Returns an SEO-optimized HTML homepage.

⚛️ Quantum Endpoint

POST /quantum-endpoint

Request Body:

{
  "data": "your_data_here",
  "quantum_factor": 1.0
}

Response:

{
  "status": "success",
  "quantum_result": "Processed your_data_here with quantum factor 1.0"
}

❤️ Health Check

GET /health

Returns API status.
📜 Streamlit Frontend

    An interactive interface to interact with the quantum backend.

streamlit run app/app.py --server.port 7861

URL: http://localhost:7861
📦 Deployment: Hugging Face Spaces

To deploy on Hugging Face:

    Ensure the following in your repo:

        requirements.txt

        app/app.py (Streamlit entrypoint)

        api/endpoints/codelama.py (FastAPI backend)

    Use a Docker-based Space with this command in Dockerfile or runtime:

uvicorn api.endpoints.codelama:app --host 0.0.0.0 --port 7860 & \
streamlit run app/app.py --server.port 7861

Push your repo to Hugging Face:

    git remote add hf https://huggingface.co/spaces/subatomicERROR/Quantum-API
    git push hf main

📁 File Structure

Quantum-API/
├── api/
│   └── endpoints/
│       └── codelama.py         # FastAPI main app
├── app/
│   └── app.py                  # Streamlit UI
├── requirements.txt
├── README.md
└── .huggingface/README.md      # Optional Space ReadMe

🧠 Author

Built with ☕ + ⚛️ by subatomicERROR (Yash R)
Email: yashramteke55555@gmail.com
🧬 Branding & Philosophy

    Part of the .ERROR brand — combining ancient wisdom, futuristic design, and quantum intelligence.

This system is part of the Quantum-AI Stack including:

    Quantum-ML — Model & training backend.

    Quantum-API — This API gateway.

    Quantum-Compute — Quantum computation engine.

📃 License

MIT License

🪐 Exploring the quantum realm with AI...
...one entangled bit at a time.