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Autometa Flask App (NLP Model)

Below Are the Steps to Run This Application On your System

Step 1: To clone the repository, use the following command:

git clone https://github.com/HammadMomin/Autometa-FlaskApp-NLP-Model.git

Step 2: Firstly, From the Drive Link Given Below Download the Two Files "MODEL_APR_23" and "tokenizer_encoder.unknown" into the main Project Directory As shown Below. DRIVE LINK: https://drive.google.com/drive/folders/1mkPbn_6zuydKQJHpnqR1Rb-KEFyc0gKz?usp=sharing

folder_structure_flask

Step 3: Go to project directory folder and run this Command.

python -m venv venv

This Above Command will create a virtual environment named as "venv" in the Project Directory. This Command Will Not Work If You don't have Python in Your Machine. If Not then install it from https://www.python.org/downloads/ and Include this in your System Environment Variables Inside the Path. After This You are Good to run the above command for creating the virtual environment.

Step 4: To Activate your virtual environemnt i.e venv. Run the Following Command.

venv\Scripts\activate.bat

This Will Activate the Virtual And You Can See Something Like This On your Terminal.

venv terminal

Step 5: To Install All the Packages And Libraries Used In the Project. Run the Following Command. NOTE: Only Run this Command after Activating the virtual environment as Shown in above Step

pip install -r requirements.txt

Step 6: To run the Pyhton Script. Execute the Following Command.

python app.py

Now You Can See Your Flask Applicaton Is Running at Port http://127.0.0.1:5000.

Flask Terminal

  • After This Your Flask Application is Ready To take 2 Variables as "text" and "questions" from nodeJs application (https://github.com/HammadMomin/Autometa-Web-App.git) with the help of axios.post method And Serve it to the Jupyter Notebook i.e "QAS.ipynb" as a input varibales by using papermill library. After Execution it Gernerates Output Notebook i.e "QAS_outuput.ipynb" and output.txt

  • From the output.txt file we are extracting the output and send it back to nodeJS (To Display it to the Frontend Of the Web Application)

  • Below is Shown that when the axios.post request get hitted from nodeJS then it will Act as API and Execute the Notebook And Send the Output Back.

2023-04-21 23-52-04

If You May Have Any Queries, You Can Reach me Out At mohdhammad.momin@gmail.com