Installing pre-requisites:

• pip install -r requirements.txt

Instructions to follow before running our Program:

• Create folders named Code , CSV , Testset , Dataset , Model , Result

Running the program:

• To run the UI
  • streamlit run app.py
• To run the API server
  • uvicorn server:app

Uploading the train data

Viewing word clouds of selected class

3D interactive visualization of how each class of train data is clustered

Tuning Hyperparameters and Training the models

Tuning Hyperparameters

Training

Testing

• Upload data
• Check confidence score (If score is low, one needs to retrain the model on the test data)
• Predict (Test)
• Download prediction result