diff --git a/.github/workflows/chatbot_workflow.yml b/.github/workflows/chatbot_workflow.yml
new file mode 100644
index 0000000..9966af3
--- /dev/null
+++ b/.github/workflows/chatbot_workflow.yml
@@ -0,0 +1,45 @@
+name: Chatbot Build and Test
+
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Set up Python
+      uses: actions/setup-python@v2
+      with:
+        python-version: '3.x'
+
+    - name: Install dependencies
+      run: |
+        pip install -r requirements.txt
+
+    - name: Run tests
+      run: |
+        python -m pytest tests/
+
+  deploy:
+    runs-on: ubuntu-latest
+    needs: build
+    if: github.ref == 'refs/heads/main' && github.event_name == 'push'
+
+    steps:
+    - name: Set up Python
+      uses: actions/setup-python@v2
+      with:
+        python-version: '3.x'
+
+    - name: Install dependencies
+      run: |
+        pip install -r requirements.txt
+
+    - name: Build and publish to PyPI
+      uses: pypa/gh-action-pypi-publish@release/v1
+      with:
+        username: __token__
+        password: ${{ secrets.PYPI_API_TOKEN }}
diff --git a/chatbot.py b/chatbot.py
deleted file mode 100644
index f0ba911..0000000
--- a/chatbot.py
+++ /dev/null
@@ -1,100 +0,0 @@
-import nltk
-from nltk.stem import WordNetLemmatizer
-import numpy as np
-from keras.models import load_model
-import json
-import random
-import os 
-
-# Load NLTK data
-nltk.download('punkt')
-nltk.download('wordnet')
-
-# Define file paths
-BASE_DIR = os.path.dirname(os.path.abspath(__file__))
-DATA_DIR = os.path.join(BASE_DIR, 'data')
-MODELS_DIR = os.path.join(BASE_DIR, 'models')
-INTENTS_FILE = os.path.join(DATA_DIR, 'intents.json')
-MODEL_FILE = os.path.join(MODELS_DIR, 'chatbot_model.h5')
-
-# Load intents data
-# with open('data/intents.json') as file:
-    # intents = json.load(file)
-# Load intents data
-with open(INTENTS_FILE) as file:
-    intents = json.load(file)
-
-# Load trained model
-# model = load_model('models/chatbot_model.h5')
-# Load trained model
-model = load_model(MODEL_FILE)
-
-# Load words, classes, and lemmatizer
-words = []
-classes = []
-documents = []
-ignore_words = ['?', '!']
-lemmatizer = WordNetLemmatizer()
-
-for intent in intents['intents']:
-    for pattern in intent['patterns']:
-        w = nltk.word_tokenize(pattern)
-        words.extend(w)
-        documents.append((w, intent['tag']))
-        if intent['tag'] not in classes:
-            classes.append(intent['tag'])
-
-words = [lemmatizer.lemmatize(w.lower()) for w in words if w not in ignore_words]
-words = sorted(list(set(words)))
-classes = sorted(list(set(classes)))
-
-def clean_up_sentence(sentence):
-    sentence_words = nltk.word_tokenize(sentence)
-    sentence_words = [lemmatizer.lemmatize(word.lower()) for word in sentence_words]
-    return sentence_words
-
-def bow(sentence, words, show_details=True):
-    sentence_words = clean_up_sentence(sentence)
-    bag = [0] * len(words)
-    for s in sentence_words:
-        for i, w in enumerate(words):
-            if w == s:
-                bag[i] = 1
-                if show_details:
-                    print("found in bag: %s" % w)
-    return(np.array(bag))
-
-def predict_class(sentence, model):
-    p = bow(sentence, words, show_details=False)
-    res = model.predict(np.array([p]))[0]
-    ERROR_THRESHOLD = 0.25
-    results = [[i, r] for i, r in enumerate(res) if r > ERROR_THRESHOLD]
-
-    results.sort(key=lambda x: x[1], reverse=True)
-    return_list = []
-    for r in results:
-        return_list.append({"intent": classes[r[0]], "probability": str(r[1])})
-    return return_list
-
-def get_response(ints, intents_json):
-    tag = ints[0]['intent']
-    list_of_intents = intents_json['intents']
-    for i in list_of_intents:
-        if i['tag'] == tag:
-            result = random.choice(i['responses'])
-            break
-    return result
-
-def chatbot_response(msg):
-    ints = predict_class(msg, model)
-    res = get_response(ints, intents)
-    return res
-
-# Chat loop
-print("Chatbot is running. Type 'quit' to exit.")
-while True:
-    user_input = input("You: ")
-    if user_input.lower() == 'quit':
-        break
-    response = chatbot_response(user_input)
-    print("Bot:", response)
diff --git a/data/intents.json b/data/intents.json
deleted file mode 100644
index d6cdfec..0000000
--- a/data/intents.json
+++ /dev/null
@@ -1,12 +0,0 @@
-{
-    "intents": [
-        {"tag": "greeting",
-         "patterns": ["Hi", "How are you", "Is anyone there?", "Hello", "Good day"],
-         "responses": ["Hello!", "Good to see you!", "Hi there, how can I help?"],
-         "context": [""]},
-        {"tag": "goodbye",
-         "patterns": ["Bye", "See you later", "Goodbye", "Nice chatting to you, bye", "Till next time"],
-         "responses": ["See you!", "Have a nice day!", "Goodbye!"],
-         "context": [""]}
-    ]
-}
diff --git a/setupt.py b/setupt.py
new file mode 100644
index 0000000..c17e062
--- /dev/null
+++ b/setupt.py
@@ -0,0 +1,23 @@
+from setuptools import setup, find_packages
+
+setup(
+    name='0.05',
+    version='0.1',
+    packages=find_packages(),
+    include_package_data=True,
+    install_requires=[
+        'nltk',
+        'keras',
+        # Add any other dependencies here
+    ],
+    entry_points={
+        'console_scripts': [
+            'chatbot = chatbot.chatbot:main'
+        ]
+    },
+    author='Mohit Janbandhu',
+    author_email='mojanbandhu@email.com',
+    description='A chatbot package',
+    url='https://github.com/MJanbandhu/chatbotMJ.git',
+    license='MIT',
+)
diff --git a/__init__.py b/tests/__init__.py
similarity index 100%
rename from __init__.py
rename to tests/__init__.py
diff --git a/models/chatbot_model.h5 b/tests/test_chatbot.py
similarity index 100%
rename from models/chatbot_model.h5
rename to tests/test_chatbot.py