Update app.py

app.py

@@ -39,7 +39,9 @@ def load_video(video_url):
 
 @st.cache_data
 def load_historical(fpath):
-    return pd.read_csv(fpath)
+    df = pd.read_csv(fpath)
+    df['Date'] = pd.to_datetime(df['Date'])
+    return df
 
 
 
@@ -47,7 +49,7 @@ def load_historical(fpath):
 # Define the main function to run the Streamlit app
 def run_app():
     # Set Streamlit options
-    st.set_page_config(layout="wide")
+    # st.set_page_config(layout="wide")
     st.set_option("deprecation.showfileUploaderEncoding", False)
     
     # App title and description
@@ -65,7 +67,7 @@ def run_app():
     gpu_available = torch.cuda.is_available()
     mps_available = torch.backends.mps.is_available()
 
-    main_tab, upload_tab = st.tabs(["Analysis", "Upload video for analysis"])
+    upload_tab, main_tab = st.tabs(["Upload video for analysis", "Analysis", ])
 
     with main_tab:
 
@@ -80,7 +82,8 @@ def run_app():
                 use_container_width=True,
             )
             st.subheader("Yearly Totals (from manual counts)")
-            st.dataframe(df_historical_herring.groupby(df_historical_herring["Date"].dt.year).sum().T)
+            df_historical_herring["Year"] = df_historical_herring["Date"].dt.year
+            st.dataframe(df_historical_herring.groupby('Year')['Count'].sum().T)
             # Display map of fishery locations
             st.subheader("Map of Fishery Locations")
             st.map(