Upload 2 files

app.py

@@ -18,7 +18,7 @@ output_column_names = [
     "poster_url",
     "trailer_url",
 ]
-
+vertical_space = 2
 st.set_page_config(layout="wide")
 
 colored_header(
@@ -59,7 +59,7 @@ def top_n_retriever(titles, similarity_scores, n, query_type):
     and the type of query (search engine or similar movies). It then returns the top n results
     
     Args:
-      titles (List[str]): List of movie titles
+      titles (list[str]): List of movie titles
       similarity_scores (ndarray): The cosine similarity scores of the query movie with all the movies
     in the dataset.
       n (int): The number of results to return
@@ -102,15 +102,15 @@ def grid_maker(movie_recs, df):
             unsafe_allow_html=True,
         )
 
-        title_col.markdown(
-            f""" #### **:blue[{movie}]** | {year} | {duration} | {genre} """
-        )
-        title_col.markdown(
-            f""" <span style="background-color:rgba(0, 0, 0, 0.1);">{stars}</span>
+        title_col.markdown(f"""<p>
+                                <span style=color:#0068C9;font-style:bold;font-size:28px;>{movie} </span>
+                                <span style=color:grey;font-style:italic;font-size:14px;> {year} | {duration} | {genre}</span>
+                                <span style="background-color:rgba(0, 0, 0, 0.1);"><br>{stars}</span>
                                 <span style="word-wrap:break-word;font-family:roboto;font-weight: 700;">
-                                <br>{summary}</span>""",
-            unsafe_allow_html=True,
-        )
+                                <br>{summary}</span>
+                                </p>
+                            """, unsafe_allow_html=True)
+        add_vertical_space(vertical_space)
 
 
 def filter_df(df, selected_page):
@@ -202,7 +202,7 @@ if selected_page == "Search Engine":
             movie_recs = top_n_retriever(
                 genre_df.title, semantic_sims, top_n, selected_page
             )
-            add_vertical_space(2)
+            add_vertical_space(vertical_space)
             grid_maker(movie_recs, genre_df)
 
 
@@ -219,5 +219,5 @@ if selected_page == "Similar Movies":
             for movie_embed in genre_df.embedding
         ]
         movie_recs = top_n_retriever(genre_df.title, movie_sims, top_n, selected_page)
-        add_vertical_space(2)
+        add_vertical_space(vertical_space)
         grid_maker(movie_recs, genre_df)

requirements.txt

@@ -1,7 +1,6 @@
 --find-links https://download.pytorch.org/whl/torch_stable.html
 torch==1.13.1+cpu
 sentence-transformers
-pandas 
-streamlit==1.16.0
+pandas
 streamlit-option-menu 
 streamlit-extras