Reely is a simple movie discussion platform, that I developed with the aim of getting familiar with different [I/P/S]aaS cloud services, as the first assignment of my bachelors cloud computing course. Built with Go and Gin, It utilizes IBM Watson AI services to moderate movie discussions.
The full description of the project can be found in instructions.pdf and report.pdf (in Persian).
Users can submit voice comments about movies, which are processed through IBM Watson's AI APIs:
- Speech-to-Text API: Transforms voice comments into text.
- Content Analysis API: Analyzes comments for sentiment, content, and more.
- Language Translator API: Translates comments into multiple languages.
Reely uses the following proxies to call these APIs. They are built to work with IBM but can be extended to other APIs:
- proxies/kateb.go: Audio to Text (Kateb means writer in Arabic!)
- proxis/human.go: Sentiment analysis
- proxies/dilmaj: Translation (Dilmaj means translator in Turkish)
- GET /v1/movies/:movieID - [Get a movie]
- GET /v1/movies - [Get all movies]
- POST /v1/reviews/movies/:movieID [Creates a new review for the specified movie]
The project can also be run as a docker container, using the provided Dockerfile.
This diagram shows Reely's architecture:
graph TD
B(Reely Web App) -->|Hosted on| C(IaaS Hosting Provider)
B -->|Stores data in| D(IaaS Database Provider)
B -->|Stores images in| E(Image Storage)
B -->|Uses| F(IBM Watson AI)
F -->|Speech to Text| G[Transcribes Audio]
F -->|Sentiment Analyzer| H[Checks for Issues]
F -->|Language Translator| I[Translates Text]
The database is assumed to be a PostgreSQL instance, and the connection is established through db/db.go. All credentials
should be stored according the config/config.template.yaml, in two files named config/development.yaml and config/production.yaml.
| Home Page | Sample Movie Page |
|---|---|
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- Course: Cloud Computing
- University: Amirkabir University of Technology
- Semester: Spring 2022
Let me know if you have any questions!
