Increment model version

app.py

@@ -6,8 +6,12 @@ import seaborn as sns
 import matplotlib.pyplot as plt
 from warnings import warn
 
-from dotenv import load_dotenv
-load_dotenv()
+is_local=False
+if is_local:
+    from dotenv import load_dotenv
+    load_dotenv()
+
+MODEL_VERSION=22
 
 @st.experimental_memo
 def load_data():
@@ -23,13 +27,13 @@ def load_data():
                                 subreddits_fg.select(features=["subreddit_id", "snapshot_time"]), on=["subreddit_id", "snapshot_time"])
         df = full_join.read()
     except Exception as e:
-        warn("Could not load data from feature store (most likely due to Port issues with Hopsworks). Trying to load same data that is stored with the model. Full exception:")
+        warn("Could not load data from feature store (most likely due to Port issues with Hopsworks). Trying to load the data from the model registry instead. Full exception:")
         warn(str(e))
         df = None
 
     # Load model including the generated images and evaluation scores
     mr = project.get_model_registry()
-    model_hsfs = mr.get_model("reddit_predict", version=18)
+    model_hsfs = mr.get_model("reddit_predict", version=MODEL_VERSION)
     model_dir = model_hsfs.download()
     print("Model directory: {}".format(model_dir))
 
@@ -62,7 +66,7 @@ def load_data():
 df, plots, df_metrics = load_data()
 
 if df is None:
-    st.error("Could not load data from feature store or model directory. Please upload the data to the model directory manually as Huggingface has compatibility issues with reading data from Hopsworks.")
+    st.error("Could not load data from feature store or model directory as Huggingface has compatibility issues with parts of the data read API from Hopsworks.")
     st.stop()
 
 # create a distribution plot of the number of likes using seaborn