rename project due to similar name in pypi

Author: adamspd

README.md

@@ -1,8 +1,8 @@
-# Django-Spam-Detector
+# Spam-Detector-AI
 
-Django-Spam-Detector is a Python package for detecting and filtering spam messages using Machine Learning models. The
-package integrates with Django and offers three different classifiers: Naive Bayes, Random Forest, and Support Vector
-Machine (SVM).
+Spam-Detector-AI is a Python package for detecting and filtering spam messages using Machine Learning models. The
+package integrates with Django or any other project that uses python and offers three different classifiers: Naive
+Bayes, Random Forest, and Support Vector Machine (SVM).
 
 ## Table of Contents
 
@@ -18,16 +18,18 @@ Machine (SVM).
 
 ## Installation
 
-You can install the spam-detection package via pip:
+You can install the spam detection package via pip:
 
 ```sh
-pip install spam-detection
+pip install spam-detector-ai
 ```
 
 Make sure you have the following dependencies installed:
 
 - scikit-learn
 - nltk
+- pandas
+- numpy
 
 Additionally, you'll need to download the NLTK data and to do so, use the python interpreter to run the following
 commands:
@@ -167,7 +169,7 @@ To use the spam detector in your Django project:
 3. Use the `is_spam` method to check if a message is spam.
 
 ```python
-from spam_detector.prediction import VotingSpamDetector
+from spam_detector_ai.prediction import VotingSpamDetector
 
 # Create the spam detector
 spam_detector = VotingSpamDetector()

setup.cfg

@@ -1,6 +1,6 @@
 [metadata]
-name = spam-detector
-version = 1.0.0
+name = spam-detector-ai
+version = 1.0.1
 description = A package for spam detection using machine learning algorithms.
 long_description = file: README.md
 long_description_content_type = text/markdown
@@ -24,16 +24,16 @@ classifiers =
 [options]
 include_package_data = true
 packages =
-    spam_detector
-    spam_detector.models
-    spam_detector.models.svm
-    spam_detector.models.bayes
-    spam_detector.models.random_forest
-    spam_detector.training
-    spam_detector.classifiers
-    spam_detector.loading_and_processing
-    spam_detector.prediction
-    spam_detector.test_and_tuning
+    spam_detector_ai
+    spam_detector_ai.models
+    spam_detector_ai.models.svm
+    spam_detector_ai.models.bayes
+    spam_detector_ai.models.random_forest
+    spam_detector_ai.training
+    spam_detector_ai.classifiers
+    spam_detector_ai.loading_and_processing
+    spam_detector_ai.prediction
+    spam_detector_ai.test_and_tuning
 
 python_requires = >=3.8
 install_requires =
@@ -43,4 +43,4 @@ install_requires =
 
 [options.package_data]
 * = data/*
-spam_detector = models/*/*
+spam_detector_ai = models/*/*

spam_detector/__init__.py renamed to spam_detector_ai/__init__.py

@@ -1,4 +1,4 @@
-# spam_detector/__init__.py
+# spam_detector_ai/__init__.py
 
 from . import classifiers
 from . import loading_and_processing

spam_detector/classifiers/__init__.py renamed to spam_detector_ai/classifiers/__init__.py

@@ -1,4 +1,4 @@
-# spam_detector/classifiers/base_classifier.py
+# spam_detector_ai/classifiers/base_classifier.py
 
 from abc import ABC, abstractmethod
 

spam_detector/classifiers/base_classifier.py renamed to spam_detector_ai/classifiers/base_classifier.py

@@ -1,4 +1,4 @@
-# spam_detector/classifiers/classifier_types.py
+# spam_detector_ai/classifiers/classifier_types.py
 
 from enum import Enum, auto
 

spam_detector/classifiers/classifier_types.py renamed to spam_detector_ai/classifiers/classifier_types.py

@@ -1,4 +1,4 @@
-# spam_detector/classifiers/naive_bayes_classifier.py
+# spam_detector_ai/classifiers/naive_bayes_classifier.py
 
 import pickle
 from sklearn.feature_extraction.text import CountVectorizer

spam_detector/classifiers/naive_bayes_classifier.py renamed to spam_detector_ai/classifiers/naive_bayes_classifier.py

@@ -1,4 +1,4 @@
-# spam_detector/classifiers/random_forest_classifier.py
+# spam_detector_ai/classifiers/random_forest_classifier.py
 
 import pickle
 from sklearn.feature_extraction.text import TfidfVectorizer

spam_detector/classifiers/random_forest_classifier.py renamed to spam_detector_ai/classifiers/random_forest_classifier.py

@@ -1,4 +1,4 @@
-# spam_detector/classifiers/svm_classifier.py
+# spam_detector_ai/classifiers/svm_classifier.py
 
 import pickle
 from sklearn.feature_extraction.text import TfidfVectorizer