luisgradossalinas / aws-fastapi-gpt4

Deploy AI-generated application to AWS

Sentiment Analysis FastAPI App built with GPT4 and AWS AppRunner

This is a simple FastAPI app that takes a string as input and returns a sentiment score from 1 (negative) to 10 (positive) using TextBlob for sentiment analysis.

VIDEO: How to use AWS AppRunner to deploy ChatGPT Python FastAPI Microservice

Blog post

Installation

Make sure you have Python 3.7 or higher installed.

1. Install the required packages:

pip install fastapi uvicorn textblob httpx pytest

2. Clone the repository or deploy it to AWS AppRunner as shown in this video.

Running the app

Start the app by running:

uvicorn main:app --host 0.0.0.0 --port 8080

The app will be available at http://127.0.0.1:8080.

API Endpoints

/sentiment (POST)

Takes a JSON payload with a "text" field and returns the sentiment score.

Example request:

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

Example response:

{
  "sentiment_score": 10
}

Testing

To run the tests, execute:

pytest test_app.py
# or just
pytest

License

This project is licensed under the Apache License.

Acknowledgments

• FastAPI
• TextBlob