# SentimentAnalysis

**Repository Path**: mirrors_AgoraIO-Community/SentimentAnalysis

## Basic Information

- **Project Name**: SentimentAnalysis
- **Description**: Sentiment Analysis w/ Agora
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-10-22
- **Last Updated**: 2026-03-08

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Sentiment Analysis Tutorial
This tutorial enables you to add **Sentiment Analysis to Agora's 1-to-1 Video call on Web** using the sample app to give you an in-depth view on how to develop with the [Agora API](https://docs.agora.io/en/2.2/product/Voice/API%20Reference/communication_web_audio#voice-call-api)

 - HTML5 Canvas
 - Tensorflow
 - Web sockets
 - Face detection
 - Emotion classification

## Prerequisites
- Agora.io Developer Account
- Python and web sockets

## Project layout

```C
	|
	|-Scripts
		|-AgoraRTCSDK-2.4.0.js
		|-script.js
		|-socket.io.js
		|--
	|-Server
		|-models
			|-face_box.xml
			|-model.hdf5
			|--
		|-utils
			|-data_augmentation.py
			|-datasets.py
			|-grad_cam.py
			|-inference.py
			|-preprocessing.py
			|-visualizer.py
			|--
		|-emotions.py
		|-README.md
		|-requirements.txt
		|-server.py
		|--
	|-styles
		|-style.css
		|--
	|-index.html
	|-LICENSE.md
	|-README.md
	|--
```

## Quick Start
This section shows you how to prepare, build, and run the sample application.

1. Create a developer account at [agora.io](https://dashboard.agora.io/signin/). Once you finish the signup process, you will be redirected to the Dashboard.
2. Navigate in the Dashboard tree on the left to **Projects** > **Project List**.
3. Copy the App ID that you obtained from the Dashboard into a text file. You will need this to use the Agora platform.

### Run the Sample Sentiment Analysis model 

1. Open the `Server` directory and install the Python requirements through the terminal command.
```python
    pip install -r requirements.txt
```
2. After install the requirements, run the server using
```python
    python server.py
```
3. Keep the server running.

### Update and Run the Sample Application 

1. Open the [script.js](scripts/script.js) file under the `scripts` directory in a code editor.
2. Under Client Setup replace the `APP_ID` with the App Id obtained from the dashboard.

	**Before**

	``` JavaScript
	client.init("APP_ID",() => console.log("...") ,handleFail);
	```

	**After**

	``` JavaScript
	client.init("76db51...e40d15a3",() => console.log("...") ,handleFail);
	```
3. Open the `index.html` file in a web browser and allow access to Camera and Microphone for Audio and Video transmission.
4. For a demo, open the same file in an `new tab`, this creates the `remote stream` that is displayed on the Canvas and run through the sentiment analysis model.

## Resources
* Complete API documentation is available at the [Document Center](https://docs.agora.io/en/).
* You can file bugs about this sample [here](https://github.com/nishnash54/SentimentAnalysis/issues).


## License
This software is under the MIT License (MIT). [View the license](LICENSE.md).

## Contributors
**[Nishant Rodrigues](https://github.com/nishnash54)**


**[Samyak Jain](https://github.com/samyak-jain)**


**[Vineeth S](https://github.com/technophilic)**