Community with Sentiment Analysis and Image Moderation – Backend

This repository contains the FastAPI backend for the project Community with Sentiment Analysis and Image Moderation. The backend provides APIs for text sentiment analysis and image moderation, stores results in MongoDB, and uploads moderated images to Cloudinary.

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Features

• Text sentiment analysis using a FastAPI-based sentiment analysis microservice
• Image moderation using a FastAPI based image moderation microservice
• Image storage via Cloudinary
• Data persistence using MongoDB
• Fully async FastAPI backend

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Tech Stack

• FastAPI
• httpx (async HTTP client)
• MongoDB (pymongo)
• Cloudinary
• python-dotenv

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Project Structure

.
├── main.py
├── .env
├── requirements.txt
└── README.md

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Installation

Clone the repository:

git clone <repository-url>
cd <repository-name>

Create a virtual environment:

python -m venv venv
source venv/bin/activate

Install dependencies:

pip install -r requirements.txt

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Running the Server

uvicorn main:app --reload

Server will run at:

http://127.0.0.1:8000

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API Endpoints

Sentiment Analysis

Endpoint

POST /sentiment

Request Body

{
  "text": "I love this community"
}

Response

{
  "predicted_emotion": "positive"
}

Data is stored in the texts collection with a timestamp.

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Image Moderation

Endpoint

POST /image-moderate

Form Data

file: image

Response

{
  "cloudinary_url": "https://res.cloudinary.com/..."
}

The moderated image is uploaded to Cloudinary and the URL is stored in the images collection.

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Database Collections

texts

• text
• sentiment
• full API response
• created_at

images

• cloudinary_url
• created_at

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Notes

• External APIs must be reachable and return valid responses.
• Cloudinary uploads use the moderated image response.
• Async HTTP client improves performance under load.

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License

For educational and academic use.