FastAPI Multi-Function Web App

A simple web application built with FastAPI that provides multiple AI-powered features:

• Text translation (English → French)
• Sentiment analysis
• Person detection in images using YOLOv8

The app uses modern ML models and is served through a Jinja2 HTML template interface.

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🧠 Features

1. Translation: Translate English text to French using Hugging Face Transformers.
2. Sentiment Analysis: Analyze the sentiment of any given text.
3. Object Detection: Detect people in uploaded images using YOLOv8 from Ultralytics.

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🛠️ Technologies Used

Library	Purpose
FastAPI	Backend framework for building APIs
Transformers	For NLP tasks like translation and sentiment analysis
YOLOv8 (Ultralytics)	For real-time object detection in images
Torch (PyTorch)	Machine learning backend used by both Transformers and YOLO
OpenCV	Image manipulation and saving annotated results
Jinja2	HTML templating engine
Uvicorn	ASGI server to run the FastAPI app

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🚀 How to Run the App

1. Clone the repository:

git clone https://github.com/ectorr01/fastapi-multi-function-app.git
cd fastapi-multi-function-app

2. (Optional) Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate    # Linux/macOS
venv\Scripts\activate       # Windows

3. Install dependencies:

pip install -r requirements.txt

4. Run the app:

uvicorn main:app --reload

5. Open in browser:

Go to: http://localhost:8000

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📁 Project Structure

fastapi-multi-function-app/
├── main.py
├── requirements.txt
├── templates/
│   └── index.html
└── static/

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✅ Requirements

Make sure you have installed:

• Python 3.8+
• FastAPI
• Uvicorn
• Transformers
• Torch
• Ultralytics (YOLO)
• OpenCV (opencv-python-headless)
• Jinja2

All required packages are listed in requirements.txt.

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