Create wineapp

wineapp

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+import streamlit as st # type: ignore
+import pandas as pd
+import numpy as np
+
+Set page config
+st.set_page_config(page_title="Wine Dataset Analysis", layout="wide")
+#st.set_page_config(page_title="Wine Dataset Analysis", layout="wide")
+
+# Custom CSS for styling
+st.markdown("""
+    <style>
+    .main {
+        background-color: #f5f5f5;
+        color: #000000;
+        font-family: Arial, sans-serif;
+    }
+    .stApp {
+        background-image: url('https://your-background-image-url-here'); 
+        background-size: cover;
+        background-position: center;
+        background-repeat: no-repeat;
+    }
+    .title {
+        color: #ffffff;
+        font-size: 50px;
+        font-weight: bold;
+        text-align: center;
+        margin-top: 20px;
+    }
+    .subtitle {
+        color: #ffffff;
+        font-size: 20px;
+        text-align: center;
+        margin-bottom: 40px;
+    }
+    </style>
+""", unsafe_allow_html=True)
+
+# Background company name display
+st.markdown(f"""
+    <div class="stApp">
+        <div class="title">Center for Analytics Services</div>
+        <div class="subtitle">Association of Data Analysts and AI Professionals</div>
+    </div>
+""", unsafe_allow_html=True)
+
+# App title
+st.title("Wine Dataset Analysis")
+
+# Number input for sample size
+st.header("Number Input: Set Sample Size")
+sample_size = st.number_input("Enter the number of samples to generate:", min_value=10, max_value=100, value=50)
+st.write(f"Sample Size: {sample_size}")
+
+# Sliders for feature selection
+st.header("Sliders: Set Feature Values")
+alcohol_level = st.slider("Alcohol Level", min_value=10.0, max_value=15.0, value=13.0, step=0.1)
+malic_acid = st.slider("Malic Acid", min_value=0.5, max_value=5.0, value=2.5, step=0.1)
+st.write(f"Selected Alcohol Level: {alcohol_level}")
+st.write(f"Selected Malic Acid Level: {malic_acid}")
+
+# Placeholder for dataset visualization (to be replaced with actual data later)
+st.header("Dataset Visualization (Placeholder)")
+data = pd.DataFrame({
+    'Alcohol': np.random.normal(alcohol_level, 0.5, sample_size),
+    'Malic.acid': np.random.normal(malic_acid, 0.5, sample_size),
+    'Proline': np.random.randint(500, 1500, sample_size)
+})
+st.write(data)
+
+# Line chart placeholder
+st.header("Line Chart (Placeholder)")
+st.line_chart(data[['Alcohol', 'Proline']])
+
+# Custom footer with HTML and CSS
+st.markdown("""
+    <style>
+    .footer {
+        position: fixed;
+        left: 0;
+        bottom: 0;
+        width: 100%;
+        background-color: #4CAF50;
+        color: white;
+        text-align: center;
+        padding: 10px;
+        font-family: Arial, sans-serif;
+    }
+    </style>
+    <div class="footer">
+        © 2024 Center for Analytics Services, Association of Data Analysts and AI Professionals
+    </div>
+""", unsafe_allow_html=True)