Update src/streamlit_app.py

src/streamlit_app.py

@@ -322,14 +322,14 @@ def get_similar_content(content, n_recommendations=5):
 def main():
     # Page config
     st.set_page_config(
-        page_title="Streaming Content Explorer",
-        page_icon="🎬",
+        page_title="StreamButler - Your Personal Streaming Concierge",
+        page_icon="🎩",
         layout="wide"
     )
     
-    # Header
-    st.title("🎬 Streaming Content Explorer")
-    st.write("Explore movies and TV shows across multiple streaming platforms!")
+    # Header with butler theme
+    st.title("🎩 StreamButler")
+    st.write("*At your service! Allow me to curate the perfect streaming entertainment for you.*")
     
     # Check API credentials
     api_token, together_key = get_api_credentials()
@@ -546,7 +546,9 @@ def main():
             
             # Show items for current page
             for i, content in enumerate(st.session_state.filtered_content[start_idx:end_idx], start=start_idx):
-                with st.expander(f"{content.get('title', 'N/A')} ({content.get('release_year', 'N/A')})"):
+                with st.container():
+                    st.write(f"### {content.get('title', 'N/A')} ({content.get('release_year', 'N/A')})")
+                    
                     # Content details in columns
                     detail_col1, detail_col2 = st.columns(2)
                     
@@ -605,6 +607,7 @@ def main():
                                     """)
                             else:
                                 st.info("No similar content found.")
+                    st.write("---")
             
             # Bottom pagination controls with better layout
             st.write("---")
@@ -648,12 +651,12 @@ def main():
     
     with col2:
         # AI Chat Section
-        st.subheader("🤖 Ask AI Assistant")
-        st.write("Ask questions about the streaming content!")
+        st.subheader("🎩 Your Personal Butler")
+        st.write("How may I be of assistance in finding your perfect entertainment today?")
         
         # Model selection for Together AI
         model_choice = st.selectbox(
-            "Select AI Model:",
+            "Select Your Butler's Expertise Level:",
             [
                 "google/gemma-2b-it",
                 "google/gemma-2-27b-it",
@@ -661,26 +664,30 @@ def main():
                 "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
                 "mistralai/Mixtral-8x7B-Instruct-v0.1"
             ],
-            help="Select an AI model to answer your questions"
+            help="Select your butler's level of expertise in making recommendations"
         )
         
         # Example questions
-        with st.expander("💡 Example Questions"):
-            st.write("• What are the most common genres?")
-            st.write("• What's the average movie duration?")
-            st.write("• Which directors have the most content?")
-            st.write("• What are the trends in content ratings?")
-            st.write("• Tell me about the release year distribution")
+        with st.expander("💡 How to Address Your Butler"):
+            st.write("""
+            Your butler understands requests like:
+            • "My good sir, I seek an action film that would also please my companion who favors comedies."
+            • "Would you be so kind as to suggest a family-friendly show in the spirit of Stranger Things, but less frightening?"
+            • "I've quite enjoyed The Crown and Downton Abbey. Might you recommend similar period dramas?"
+            • "The weather is rather gloomy today. Perhaps a charming romantic comedy or musical?"
+            • "I'm in search of enlightening documentaries about technology or artificial intelligence."
+            • "We're hosting a gathering this evening. What entertainment would you suggest for a group?"
+            """)
         
         user_question = st.text_area(
-            "Your Question:",
-            placeholder="Ask about genres, ratings, directors, trends...",
+            "How May I Assist You?",
+            placeholder="Tell me your preferences, and I shall curate the perfect selection...",
             height=100
         )
         
-        if st.button("🔍 Ask AI", type="primary"):
+        if st.button("🎩 Request Recommendations", type="primary"):
             if user_question:
-                with st.spinner("AI is analyzing the content..."):
+                with st.spinner("Your butler is carefully selecting the perfect entertainment..."):
                     # Create context from current filtered data
                     context = create_content_context(st.session_state.filtered_content)
                     
@@ -688,57 +695,48 @@ def main():
                         # Get AI response
                         ai_response = get_ai_response(client, user_question, context, model_choice)
                         
-                        st.success("**AI Assistant Response:**")
+                        st.success("**🎩 Your Curated Selection:**")
                         st.write(ai_response)
                         
-                        # Show debug info
-                        with st.expander("Debug Info"):
-                            st.write(f"Model used: {model_choice}")
-                            st.write(f"Content items analyzed: {len(st.session_state.filtered_content)}")
-                            st.write(f"Context: {context[:150]}...")
+                        # Show streaming availability
+                        with st.expander("🎩 Butler's Note"):
+                            st.write("""
+                            To access your selected entertainment:
+                            1. Kindly select your preferred streaming services above
+                            2. Locate your chosen title in the curated list
+                            3. For similar recommendations, simply request "Find Similar Content"
+                            
+                            *Is there anything else I can assist you with?*
+                            """)
                         
                     except Exception as e:
-                        st.error(f"AI Error: {str(e)}")
+                        st.error("My sincerest apologies, but I seem to be unable to process your request at the moment. Might we try again?")
                         
-                        # Fallback response with data analysis
-                        st.info("**Fallback Analysis:**")
-                        if st.session_state.filtered_content:
-                            movies = sum(1 for c in st.session_state.filtered_content if c.get('type') == 'Movie')
-                            shows = sum(1 for c in st.session_state.filtered_content if c.get('type') == 'TV Show')
-                            st.write(f"• Found {len(st.session_state.filtered_content)} titles ({movies} movies, {shows} TV shows)")
-                            
-                            # Show top genres
-                            genres = [g.strip() for c in st.session_state.filtered_content for g in c.get('listed_in', '').split(',')]
-                            genre_counts = pd.Series(genres).value_counts()
-                            st.write(f"• Top genres: {', '.join(genre_counts.head(3).index)}")
-                            
-                            # Show year range
-                            years = [int(c.get('release_year', 0)) for c in st.session_state.filtered_content if c.get('release_year')]
-                            if years:
-                                st.write(f"• Release years: {min(years)} - {max(years)}")
             else:
-                st.warning("Please enter a question first!")
+                st.warning("How may I be of assistance? Please share your entertainment preferences.")
     
-    # Footer stats with improved layout
+    # Footer stats with butler theme
     st.markdown("---")
     if all_content:
         total_items = len(all_content)
         filtered_items = len(st.session_state.filtered_content)
         
+        st.markdown("### 🎩 Your Entertainment Library")
+        
         # Create columns for stats with better spacing
         stat_cols = st.columns(len(selected_services) + 3)
         
         # Basic stats with improved formatting
         with stat_cols[0]:
-            st.metric("📊 Total Available", f"{total_items:,}")
+            st.metric("📚 Complete Collection", f"{total_items:,}")
         
         with stat_cols[1]:
-            st.metric("🔍 Filtered Results", f"{filtered_items:,}")
+            st.metric("🎯 Curated Selection", f"{filtered_items:,}")
         
         with stat_cols[2]:
             movies = sum(1 for c in st.session_state.filtered_content if c.get('type') == 'Movie')
             shows = sum(1 for c in st.session_state.filtered_content if c.get('type') == 'TV Show')
-            st.metric("🎬 Movies / 📺 Shows", f"{movies:,} / {shows:,}")
+            st.metric("🎬 Films / 📺 Series", f"{movies:,} / {shows:,}")
         
         # Streaming service breakdown with icons
         service_icons = {