Update app.py

app.py

@@ -41,10 +41,13 @@ def plot_raw_data():
 
 plot_raw_data()
 
-# Predict forecast with Prophet.
 df_train = data[['Date', 'Close']]
 df_train = df_train.rename(columns={"Date": "ds", "Close": "y"})
 
+# Check and handle non-numeric values in 'y' column
+df_train['y'] = pd.to_numeric(df_train['y'], errors='coerce') # Convert non-numeric to NaN
+df_train = df_train.dropna() # Drop rows with NaN values in 'y'
+
 m = Prophet()
 m.fit(df_train)
 future = m.make_future_dataframe(periods=periods)