narrasriram/EMOTION-RECOGNITION-USING-FINE-TUNED-MODELS-ERFM-

Setup Guide

• Step 1: Clone the repository to your Local Machine
  • For MAC users, open the terminal/ For Windows users, open the Gitbash terminal
  • Type the following command:

     git clone https://github.com/narrasriram/EMOTION-RECOGNITION-USING-FINE-TUNED-MODELS-ERFM-.git
    

• Step 2: Download the Models
  • Download the models from the below publicly accessbile Google Drive Links.
  • For Distilbert Model:

     https://drive.google.com/folderview?id=18K2g5mPgVkCbp-ioeW89Pjc1Zh0eSlWY
    

  • For ALBERT Model:

     https://drive.google.com/drive/folders/1vVfeSXd0xXZSpxY83fy4Xc0_D7kSoBM8?usp=sharing
    

• Step 3: Organize the Project Files in a Folder
  • Create a folder for the project ReplicatingEmotionRecognizer
  • Paste a copy of emotionrecognizer.py file from the cloned github repository folder to the ReplicatingEmotionRecognizer
  • Store the downloaded Distilbert and ALBERT in the “ReplicatingEmotionRecognizer” folder
• Step 4: Update the Model Accessible Paths
  • Open the “emotionrecognizer.py” file
  • Update the path of Distibert Model specified in the file to your system path where the Distilbert Model is present.
  • Update the path of ALBERT Model specified in the file to your system path where the ALBERT Model is present.
• Step 5: Install Dependencies
  • Install k-train library using the following command in terminal: pip install ktrain
  • Install transformers library using the following command in terminal: pip install transformers
• Step 6: Run the File
  • In the command prompt, navigate to the “ReplicatingEmotionRecognizer” folder.
  • Type the following command to run the File:

     python3 emotionrecognizer.py
    

• Step 7: Test with an Example
  • When the user runs the python file, the system prompts to give an input sentence.
  • Once the user enters the Input Sentence and click on Enter button, the system generates the output for the user.