Update src/streamlit_app.py

src/streamlit_app.py

@@ -140,7 +140,25 @@ def render_star_rating(rating):
 all_ratings_data = load_ratings()
 
 if movie_id:
-    ...  # Detail Page unverändert
+    try:
+        movie_id = int(movie_id)
+        movie_info = movie_df[movie_df["movieId"] == movie_id].iloc[0]
+        st.title(movie_info["clean_title"])
+        col1, col2 = st.columns([1, 3])
+        with col1:
+            st.image(movie_info["poster"], use_column_width=True)
+        with col2:
+            st.subheader("Details")
+            st.write(f"**Genres:** {movie_info['genres']}")
+            st.write(f"**Year:** {movie_info['year']}")
+
+            user_rating = next((r["rating"] for r in all_ratings_data if r["movie_id"] == movie_id), None)
+            if user_rating:
+                st.markdown(f"**Your Rating:** {render_star_rating(user_rating)}", unsafe_allow_html=True)
+            else:
+                st.info("You haven't rated this movie yet.")
+    except Exception as e:
+        st.error("Could not load movie details.")
 
 elif page:
     st.title("🎲 Rate Random Movies")
@@ -170,13 +188,11 @@ elif page:
         st.session_state.filter_hash = hash((tuple(selected_genres), selected_year_range))
 
     if st.session_state.index >= len(st.session_state.queue):
-        st.subheader("🎉 You've rated enough movies!")
+        st.subheader("No movies based on your filters in the dataset")
         st.session_state.quiz_history.append(st.session_state.rated.copy())
         for r in st.session_state.rated:
             save_rating_to_json(r)
-        if st.button("🔄 Start Over"):
-            del st.session_state.queue
-            st.rerun()
+
     else:
         movie = st.session_state.queue[st.session_state.index]
         movie_id_val = title_to_movie_id.get(movie)
@@ -205,7 +221,7 @@ elif page:
             
 elif search_query:
     # Movie Search Page
-    st.title(f"🔍 Search Results for '{search_query}'")
+    st.title(f"Search Results for '{search_query}'")
     matches = movie_df[movie_df["clean_title"].str.contains(search_query, case=False, na=False)]
 
     # Filters
@@ -240,7 +256,7 @@ elif search_query:
 
 else:
     # Home Page
-    st.title("🏠 Welcome to MovieMatch")
+    st.title("Welcome to MovieMatch")
 
     df = pd.DataFrame(all_ratings_data)
     if not df.empty: