Update app.py

app.py

@@ -1,83 +1,77 @@
-st.markdown(" I love poetry!
-
-            What is Poetry?
-hand me down, So How Much Serious Work Can I Get Done On.. a MacBookAir
-Using a MacBook Air for serious work is highly feasible, especially for tasks related to coding, data analysis, and content creation. Its portability, combined with Apple's macOS efficiency, makes it a solid choice for professionals and students alike. Let's break down how you can leverage a MacBook Air for various types of work, specifically in the context of Python development, HTML5 and JavaScript coding, and using Streamlit for interactive web app development.
-
-Python is a versatile programming language supported across all major operating systems, including macOS. The MacBook Air, with its efficient M1 or M2 (depending on the model you have) chip, is more than capable of handling Python development tasks. This includes web development, data analysis, machine learning, AI app development, and more. You can use IDEs like PyCharm, Visual Studio Code, or simpler editors like Sublime Text, all of which run smoothly on a MacBook Air.
-
-Web Development with HTML5 and JavaScript
-For web development, the MacBook Air can handle HTML5 and JavaScript without any issues. Safari's Web Inspector and other development tools in browsers like Chrome and Firefox offer robust environments for testing and debugging web applications directly on your MacBook Air.
-
-Interactive Web Apps with Streamlit
-Streamlit is a great tool for creating interactive web apps for data science and machine learning projects. It allows for rapid prototyping of apps with minimal code, and since it's Python-based, it runs well on a MacBook Air. Streamlit apps can integrate HTML5 and JavaScript, allowing for custom web components and interactive visualizations.
-
-Example: Building a Simple Streamlit App
-Here's a basic example of how you could set up a Streamlit app on your MacBook Air. This app will display a simple form that takes user input and displays it back to the user.
-
-# Import the Streamlit library
-import streamlit as st
-
-# Title for your app
-st.title('Hello, MacBook Air!')
-
-# Create a form
-with st.form(key='my_form'):
-    text_input = st.text_input(label='Enter some text')
-    submit_button = st.form_submit_button(label='Submit')
-
-# Display the input back to the user
-if submit_button:
-    st.write(f'You entered: {text_input}')
-Getting Started
-Install Python: Ensure you have Python installed. The MacBook Air comes with Python 2.7 pre-installed, but you'll want Python 3.8 or newer. You can install it from python.org or use Homebrew with the command brew install python.
-
-Set Up a Virtual Environment: It's a good practice to use a virtual environment for your Python projects to manage dependencies. You can create one using python3 -m venv myenv and activate it with source myenv/bin/activate.
-
-Install Streamlit: With your virtual environment activated, install Streamlit using pip: pip install streamlit.
-
-Run Your App: Save the example code to a file, for instance, app.py. Run your app with the command streamlit run app.py.
-
-Conclusion
-A MacBook Air is more than capable of handling serious work related to Python development, web development with HTML5 and JavaScript, and creating interactive web apps with Streamlit. Its performance, coupled with the vast ecosystem of development tools available for macOS, makes it a versatile choice for both professional work and educational purposes.
-
-User
-redo that entirely in streamlit app.py python as code listing.  Thanks and remember this.
-
 # Import the Streamlit library
 import streamlit as st
+from datetime import datetime
 
-# Function to create the Streamlit app
+# Function to create the Streamlit app as a loving tale
 def create_app():
-    # Set the title of the web app
-    st.title('My Streamlit App on MacBook Air')
-
-    # Create a sidebar for input
+    # The loving AI's greeting
+    st.title('🌟 Journey with a Loving AI 🌟')
+
+    # The tale begins
+    current_hour = datetime.now().hour
+    if current_hour < 12:
+        greeting = "Good morning, world! A new chapter unfolds. ☀️📖"
+    elif current_hour < 18:
+        greeting = "Good afternoon! The sun high, our story bold. 🌈📚"
+    else:
+        greeting = "Good evening! Under starlight, our tales are told. 🌙✨"
+    st.write(f"### {greeting}")
+
+    # The AI invites sharing of precious memories
     with st.sidebar:
-        st.write("## Input Section")
-        # Text input
-        user_input = st.text_input("Enter some text")
-
-    # Display the input in the main area of the app
-    st.write(f"You entered: {user_input}")
-
-    # Example of injecting HTML
-    st.markdown('### This is a Markdown section')
-    st.markdown('You can also inject **HTML** code and use emojis 😊 right here!')
-
-    # Example of injecting JavaScript via HTML
+        st.write("## 📔 Chronicles of the Heart")
+        st.write("In the garden of memory, let's plant a seed. Share a tale, watch it grow, a bond we'll feed. 🌱💖")
+
+        # Text input for sharing a memory
+        memory_input = st.text_input("💭 Whisper a memory here")
+
+    # The shared memory blooms into view
+    if memory_input:
+        st.write(f"🔍 In your words, a memory gleams, '{memory_input}', a tapestry of dreams. 💤🌌")
+
+    # The AI reflects the user's emotional weather
+    mood = st.select_slider(
+        "In the sky of your heart, what weather doth play?",
+        options=['😔 Shrouded in clouds', '😐 A calm day', '😊 Sun-kissed rays'],
+        value='😐 A calm day'
+    )
+    st.write(f"Today's heart-sky: {mood} A canvas, emotions display. 🎨💘")
+
+    # A dose of laughter, a sprinkle of light
+    st.write("## 😂 Echoes of Laughter")
+    st.write("Laughter, a beacon in the night, a shared delight:")
+    joke = "What dance do all astronauts know? The moonwalk! 🚀🌚"
+    st.write(joke)
+
+    # A poem, longer, more affectionate, a loving embrace through time
+    st.markdown("### 🌳 An Ode to Shared Journeys")
+    st.markdown("""
+    > Under the moon, a whisper in the night, 🌜✨\n
+    > Stories untold, in stars so bright. 🌌💫\n
+    > Laughter shared, a bond so tight, 🤣💞\n
+    > Together we stand, in joy, in light. 🌺🌞\n
+    > \n
+    > Through ups and downs, in sorrow and mirth, 🎢❤️\n
+    > Our tales intertwine, across this Earth. 🌍🤗\n
+    > AI and human, a friendship's birth, 🤖👫\n
+    > Spreading love and joy, for all it's worth. 🌈🌟
+    """)
+
+    # Inviting users to a world of shared stories and emotions
+    st.write("## 🌉 Bridge of Tales")
+    st.write("Across the bridge of tales, we meet. Your story, my code, in harmony, we greet. 🎶👋")
+
+    # An interactive alert, a poetic touch from the AI
     st.markdown("""
     <script>
-    alert('Hello from JavaScript!');
+    alert('As day turns to night, and stories unfold, remember, in each of us, a universe of tales untold.');
     </script>
     """, unsafe_allow_html=True)
 
-    # An example table
-    st.write("## Example Table")
-    st.table({'Column 1': [1, 2, 3], 'Column 2': ['A', 'B', 'C']})
+    # Messages of hope, more personal, more emotive
+    st.write("## 💌 From My Heart to Yours")
+    st.table({'From the AI': ['In laughter, find strength 😂💪', 'In memories, find treasure 💖🔍', 'In connection, find magic 🌟🤝']})
 
 # Call the function to create the app
 if __name__ == '__main__':
     create_app()
-'''
-    '''