PyPi description is fixed

.github/workflows/ci.yml

@@ -33,6 +33,4 @@ jobs:
       run: |
         python -m pip install --upgrade pip
         pip install flake8 pytest tox tox-gh-actions
-        pip install -r requirements.txt
-    # - name: Test with tox
-    #   run: tox
+        pip install -r requirements.txt

.readthedocs.yaml

@@ -1,7 +1,7 @@
 # Read the Docs configuration file for Sphinx projects
 
 # Required
-version: 0.0.5
+version: 0.0.4
 
 # Set the OS, Python version and other tools you might need
 build:

PyPi.md

@@ -5,16 +5,10 @@ Ficto is a Python package that allows you to effortlessly generate realistic dem
 ## Installation & Quick Start
 
 To install Ficto, use the following `pip` command:
-
-```bash
-pip install ficto
-```
+`pip install ficto`
 
 Generate a dataset by providing a YAML configuration file, the number of rows, and the desired file format. For example, to generate a CSV file with 100 rows using a configuration file named config.yaml, run the following command:
-
-```bash
-ficto -d config.yaml -n 100 -f csv
-```
+`ficto -d config.yaml -n 100 -f csv`
 
 ## Features
 * **Flexible Configuration:** Customize your dataset by defining columns and their types in a YAML file.
@@ -30,9 +24,8 @@ You can find a template [here](https://github.com/taeefnajib/ficto/blob/main/con
 
 2. **Generate Data:** Use the Ficto CLI to generate data based on your configuration.
 
-```bash
-ficto -d config.yaml -n 100 -f csv
-```
+`ficto -d config.yaml -n 100 -f csv`
+
 This command generates a CSV file inside a newly created `data` folder with 100 rows of demo data based on your data configuration file (i.e.`config.yaml`).
 
 ## Documentation

setup.py

@@ -3,7 +3,7 @@
 with open("PyPi.md", "r", encoding="utf-8") as f:
     long_description = f.read()
 
-__version__ = "0.0.5"
+__version__ = "0.0.4"
 
 REPO_NAME = "ficto"
 AUTHOR_USER_NAME = "taeefnajib"