---
title: Quantum-API
emoji: 🚀
colorFrom: green
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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hf_oauth: false
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  cross-origin-embedder-policy: require-corp
  cross-origin-opener-policy: same-origin
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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)
```bash
python3 -m venv qvenv
source qvenv/bin/activate  # For Linux/macOS
# OR
qvenv\Scripts\activate  # For Windows
```

### 3. Install Requirements
```bash
pip install -r requirements.txt
```

---

## 🚀 Running the App Locally

### 1. Start the Backend (FastAPI)
```bash
uvicorn api.endpoints.codelama:app --host 0.0.0.0 --port 7860 --reload
```

Accessible at: [http://localhost:7860](http://localhost:7860)

### 2. Start the Frontend (Streamlit)
```bash
streamlit run app/app.py --server.port 8000
```

Accessible at: [http://localhost:8000](http://localhost:8000)

---

## 🔌 API Endpoints

### 🌐 Root

**GET /**

Returns an SEO-optimized HTML homepage.

### ⚛️ Quantum Endpoint

**POST /quantum-endpoint**

**Request Body:**
```json
{
  "data": "your_data_here",
  "quantum_factor": 1.0
}
```

**Response:**
```json
{
  "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.

```bash
streamlit run app/app.py --server.port 8000
```

URL: [http://localhost:8000](http://localhost:8000)

---

## 📦 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:
```bash
uvicorn api.endpoints.codelama:app --host 0.0.0.0 --port 7860 & \
streamlit run app/app.py --server.port 8000
```

Push your repo to Hugging Face:
```bash
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.