Update src/streamlit_app.py

src/streamlit_app.py

@@ -191,7 +191,15 @@ if movie_id:
             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.")
+                st.markdown("### Rate this movie")
+                new_rating = st.radio("Your Rating:", [1, 2, 3, 4, 5], horizontal=True, key=f"detail_{movie_id}")
+                if st.button("Submit Rating"):
+                    save_rating_to_json({
+                        "movie_id": movie_id,
+                        "rating": new_rating,
+                        "timestamp": datetime.now().isoformat()
+                    })
+                    st.rerun()
     except Exception as e:
         st.error("Could not load movie details.")
 
@@ -206,12 +214,21 @@ elif page:
         st.session_state["random_index"] = index + 1
         poster_url, tmdb_link = get_tmdb_data(movie["clean_title"], movie["year"])
 
-        st.image(poster_url, width=300)
+        if poster_url and "placeholder.com" not in poster_url:
+            st.image(poster_url, width=300)
+        else:
+            st.markdown("""
+            <div style='width:300px;border:2px dashed gray;height:450px;display:flex;align-items:center;justify-content:center;color:gray;'>
+                No picture available
+            </div>
+            """, unsafe_allow_html=True)
+
         st.subheader(movie["clean_title"])
         st.markdown(f"**Genres:** {movie['genres']}")
         st.markdown(f"**Year:** {movie['year']}")
         if tmdb_link:
             st.markdown(f"[📎 View on TMDb]({tmdb_link})")
+        st.markdown(f"[🔍 Details](/?movie_id={movie['movieId']})", unsafe_allow_html=True)
 
         st.markdown("### Your Rating")
         rating = st.radio("Rate this movie:", [1, 2, 3, 4, 5], horizontal=True, key=f"rating_{movie['movieId']}")
@@ -227,65 +244,6 @@ elif page:
         with col2:
             if st.button("Didn't Watch"):
                 st.rerun()
-            
-elif search_query:
-    # Movie Search Page
-    st.title(f"Search Results for '{search_query}'")
-    matches = movie_df[movie_df["clean_title"].str.contains(search_query, case=False, na=False)]
-
-    # Filters
-    genres_all = sorted(set("|".join(movie_df["genres"]).split("|")))
-    selected_genre = st.selectbox("Filter by genre", ["All"] + genres_all)
-    if selected_genre != "All":
-        matches = matches[matches["genres"].str.contains(selected_genre)]
-
-    sort_order = st.selectbox("Sort by", ["Title A-Z", "Year Desc", "Year Asc"])
-    if sort_order == "Year Desc":
-        matches = matches.sort_values(by="year", ascending=False)
-    elif sort_order == "Year Asc":
-        matches = matches.sort_values(by="year", ascending=True)
-    else:
-        matches = matches.sort_values(by="clean_title")
-
-    if matches.empty:
-        st.warning("No matching movies found.")
-    for _, row in matches.iterrows():
-        with st.expander(row["title"]):
-            st.write(f"**Genres:** {row['genres']}")
-            st.write(f"**Year:** {row['year']}")
-            st.markdown(f"[➡️ Go to Detail Page](?movie_id={row['movieId']})")
-            existing = next((r for r in all_ratings_data if r["movie_id"] == row["movieId"]), None)
-            default_rating = existing["rating"] if existing else 3
-            rating = st.radio(f"Rate '{row['title']}'", [1, 2, 3, 4, 5], index=default_rating - 1, key=row["title"])
-            if st.button(f"Submit rating for {row['title']}", key=f"submit_{row['title']}"):
-                entry = {"movie_id": row["movieId"], "rating": rating, "timestamp": datetime.now().isoformat(), "source": "search"}
-                st.session_state.rated.append(entry)
-                save_rating_to_json(entry)
-                st.success(f"Thanks for rating '{row['title']}' with ⭐{rating}")
-
 else:
-    # Home Page
-    st.title("Welcome to MovieMatch")
-
-    df = pd.DataFrame(all_ratings_data)
-    if not df.empty:
-        df["timestamp"] = pd.to_datetime(df["timestamp"])
-        df["title"] = df["movie_id"].map(movie_id_to_title)
-
-        st.subheader("🕒 Latest Ratings")
-        latest = df.sort_values("timestamp", ascending=False).head(10)
-        for _, row in latest.iterrows():
-            stars_html = render_star_rating(row['rating'])
-            st.markdown(f"- {row['title']}: {stars_html} ({row['timestamp'].strftime('%Y-%m-%d %H:%M')})", unsafe_allow_html=True)
-
-        st.subheader("🏆 Top Rated Movies")
-        top = df.groupby("title")["rating"].mean().sort_values(ascending=False).head(10).reset_index()
-        top["Stars"] = top["rating"].apply(lambda x: render_star_rating(round(x)))
-        st.write(top.rename(columns={"title": "Movie", "rating": "Average Rating"})[["Movie", "Average Rating", "Stars"]].to_html(escape=False, index=False), unsafe_allow_html=True)
-
-        st.subheader("💔 Worst Rated Movies")
-        worst = df.groupby("title")["rating"].mean().sort_values().head(10).reset_index()
-        worst["Stars"] = worst["rating"].apply(lambda x: render_star_rating(round(x)))
-        st.write(worst.rename(columns={"title": "Movie", "rating": "Average Rating"})[["Movie", "Average Rating", "Stars"]].to_html(escape=False, index=False), unsafe_allow_html=True)
-    else:
-        st.info("No ratings yet. Start rating movies to see your activity here!")
+    st.title("Welcome to Movie Recommender")
+    st.write("Use the navigation above to explore.")