Merge pull request #251 from shubhagarwal1/faq

Added FAQ Page

Author: sanjay-kv

Web_app/pages/FAQ.py

@@ -0,0 +1,133 @@
+import streamlit as st
+
+st.title("🎥 FAQ - Frequently Asked Questions?")
+st.markdown(
+    "<div style='height: 5px; background: linear-gradient(to right, #FF5733, #FFC300, #DAF7A6, #33FF57, #3380FF);'></div>",
+    unsafe_allow_html=True,
+)
+
+# Custom CSS for styling
+st.markdown(
+    """
+<style>
+    body {
+        color: #333;
+        font-family: 'Arial', sans-serif;
+    }
+    .important {
+        color: #FF5733;
+        font-weight: bold;
+    }
+    .highlight {
+        background-color: #FFFFA8;
+        padding: 0.2em;
+        border-radius: 5px;
+    }
+    .faq-title {
+        color: #FFFFFF;
+        font-size: 24px;
+        margin-bottom: 10px;
+    }
+    .faq-subtitle {
+        color: #333;
+        font-size: 20px;
+        margin-top: 20px;
+        font-weight: bold;
+    }
+    .code-text {
+        font-family: 'Courier New', monospace;
+        background-color: #f0f0f0;
+        padding: 2px 4px;
+        border-radius: 3px;
+    }
+    .red-text {
+        color: #FF0000;
+    }
+    .emoji-bullet {
+        font-size: 18px;
+        margin-right: 8px;
+    }
+    .underline-once {
+        text-decoration: underline;
+        text-decoration-color: #FFD700;
+        text-decoration-thickness: 3px;
+    }
+</style>
+""",
+    unsafe_allow_html=True,
+)
+
+# General Questions
+st.subheader("🧐 General Questions")
+
+# Question 1
+st.markdown(
+    '<div class="faq-title">1. 🤔 What is the IMDb Movie Review Analysis and Recommendation System?</div>',
+    unsafe_allow_html=True,
+)
+st.write(
+    "This system analyzes movie reviews and provides personalized movie recommendations using "
+    "Natural Language Processing (NLP) and machine learning algorithms."
+)
+
+# Question 2
+st.markdown(
+    '<div class="faq-title">2. 😃😠 How does the sentiment analysis work?</div>',
+    unsafe_allow_html=True,
+)
+st.write(
+    "The sentiment analysis utilizes a Support Vector Machine (SVM) model to classify movie reviews as "
+    "<span class='important'>positive</span> or <span class='important'>negative</span>. "
+    "This helps in understanding audience sentiment towards different movies."
+)
+
+# Question 3
+st.markdown(
+    '<div class="faq-title">3. 📤 How can I upload my movie reviews?</div>',
+    unsafe_allow_html=True,
+)
+st.write(
+    "You can upload a CSV file containing movie reviews through the sidebar. "
+    "<span class='red-text'>Ensure your file includes a 'review' or 'user_review' column for proper analysis.</span>"
+)
+
+# Question 4
+st.markdown(
+    '<div class="faq-title">4. 📁 What formats are supported for the uploaded CSV file?</div>',
+    unsafe_allow_html=True,
+)
+st.write("The supported formats for the uploaded CSV file are:")
+st.markdown(
+    """
+    <span class='emoji-bullet'>📌</span> UTF-8 encoding
+    <span class='emoji-bullet'>📌</span> Latin1 encoding
+""",
+    unsafe_allow_html=True,
+)
+st.write("Make sure your file is in one of these formats to avoid encoding errors.")
+
+# Question 5
+st.markdown(
+    '<div class="faq-title">5. 🔍 How are recommendations generated?</div>',
+    unsafe_allow_html=True,
+)
+st.write(
+    "Recommendations are generated using a combination of user ratings and review sentiment analysis, "
+    "which helps identify similar movies based on user preferences."
+)
+
+# Question 6
+st.markdown(
+    '<div class="faq-title">6. 🔄 Can I get recommendations for TV shows as well?</div>',
+    unsafe_allow_html=True,
+)
+st.write(
+    "Yes! The system can also provide recommendations for TV shows based on your viewing history and preferences."
+)
+
+# Add a footer or additional info section
+st.markdown("---")
+st.markdown(
+    "<small>For any further assistance, feel free to contact our support team at [email protected]</small>",
+    unsafe_allow_html=True,
+)