Create app.py

app.py

@@ -0,0 +1,103 @@
+import streamlit as st
+
+from data import * 
+from utils import *
+from images import *
+
+# Setting Page Config
+set_page_config()
+
+# Load datasets
+business_dataset = get_business_data()
+top_reviews_dataset = get_top_reviews_per_business()
+user_dataset = get_users_data()
+business_names = get_business_names(business_dataset)
+
+# Define Search Buttons
+_, select_business_col, select_location_col, _ = st.columns([1, 1, 1, 1])
+
+with select_business_col:
+    selected_business = st.selectbox(label="Select a business", options=business_names, placeholder="Search for a business...", index=None, label_visibility="hidden")
+
+with select_location_col:
+    if selected_business:
+        options = get_business_locations(business_dataset, selected_business)
+        index_value = 0
+    else:
+        options = ["Select a business to see locations"]
+        index_value = None
+    
+    selected_location = st.selectbox(label="Select a location", options=options, placeholder="in United States of America", index=index_value, label_visibility="hidden")
+
+# Adding space after the search buttons
+draw_space()
+    
+# Define columns for business info and review insights
+business_info_col, _, review_insights_col = st.columns([0.6, 0.1, 0.3])
+
+with business_info_col:
+    # Define columns for business image, business description, and business review summary
+    business_image_col, _, business_description_col, _, business_review_summary_col = st.columns([0.2, 0.05, 0.4, 0.05, 0.3])
+    
+    if selected_business:
+        # Get a dictonary with all information for the selected business
+        selected_business_dict = get_business_info(business_dataset, selected_business, selected_location)
+        
+        with st.container():
+            with business_image_col:
+                st.image(get_business_logo_url(selected_business_dict['name'].lower()))
+    
+            with business_description_col:
+                st.subheader(selected_business_dict['name'])
+                st.markdown(f'''{selected_business_dict['address']}  
+                {selected_business_dict['price_range']}  •  {selected_business_dict['wifi']} Wifi  •  {selected_business_dict['categories']}
+                ''')
+    
+            with business_review_summary_col:
+                st.subheader("Overall Rating")
+                st.image(get_business_stars_url(selected_business_dict['stars']), width=150)
+                st.markdown(f"##### {selected_business_dict['review_count']} reviews")
+
+        draw_space()
+        draw_line()
+        
+        selected_business_reviews = get_selected_business_reviews(top_reviews_dataset, selected_business_dict['id'])
+
+        st.subheader('Recommended Reviews')
+        draw_space()
+
+        for i in range(5):
+            # Define columns for user avatar and user info
+            user_avatar_col, user_info_col = st.columns([0.1, 0.9])
+
+            # Load dependencies
+            review_dict = selected_business_reviews.iloc[i, :]
+            
+            user_id = review_dict['user_id']
+            user_info_dict = get_user_info(user_dataset, user_id)
+            user_avatar_url = get_user_avatar_url(user_id)
+        
+            with st.container():
+                with user_avatar_col:
+                    st.image(user_avatar_url)
+        
+                with user_info_col:
+                    st.markdown(f"###### {user_info_dict['name']}")
+                    st.markdown(f"{user_info_dict['review_count']} reviews  •  {user_info_dict['fans']} fans  •  {user_info_dict['friends_count']} friends  •  {user_info_dict['years_on_yelp']} years on Yelp  •  Elite for {user_info_dict['elite_years_count']} years")
+        
+            with st.container():
+                review_rating_col, review_date_col = st.columns([0.12, 0.88])
+
+                with review_rating_col:
+                    st.image(get_business_stars_url(review_dict['stars']))
+
+                with review_date_col:
+                    st.markdown(review_dict['date'])
+
+            with st.container():
+                st.markdown(review_dict['text'])
+
+            draw_space()
+
+with review_insights_col:
+    pass