UPDATES

documentation/GETTING_STARTED.MD

@@ -2,40 +2,65 @@
 
 These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
 
+#### 1. Checking Version Details
+
+Before starting, ensure that you have the required applications installed. Run the following commands to check their versions:
+
 ~~~shell
 python --version
 python3 --version
 ~~~
 
 ~~~shell
 pip --version
+pip list 
 ~~~
 
+Also, verify the version of PyTorch by running:
+
 ~~~shell
 python -c "import torch; print(torch.__version__)"
 pip3 show torch
 ~~~
 
-~~~shell
-pip3 list | grep tensorflow
-pip list | grep tensorflow
-~~~
+---  
 
-~~~shell
-pip list 
-~~~
+#### 2. Optional: Creating a Virtual Environment
 
----  
+It's recommended to create a virtual environment to manage project dependencies. Follow these steps:
 
 ~~~shell
 python -m venv .env
 
 source .env/bin/activate
 ~~~
 
-pip install transformers
-pip install torch
-pip install datasets
-pip install accelerate
-pip install librosa
+---
+
+#### 3. Installing Dependencies
+
+If you haven't installed the required dependencies, use the following commands to install them:
+
+~~~shell
+pip install transformers  
+
+pip install torch  
+
+pip install accelerate  
+
+pip install librosa  
+
 sudo apt install ffmpeg
+~~~
+
+---
+
+#### 4. Execution
+
+To run the project, execute the following command:
+
+~~~shell
+python nlp1.py audio_file_path=/path/to/AUDIO_FILE.mp3
+~~~
+
+Replace /path/to/AUDIO_FILE.mp3 with the path to your audio file. A sample audio file in Hindi language is present in the codePython folder.