Update app.py

app.py

@@ -5,13 +5,16 @@ import gradio as gr
 
 # --- LOAD DATASET ---
 df = pd.DataFrame(load_dataset("SelmaNajih001/NewsSentiment")["train"])
-# --- CREATE ADDITIONAL COLUMNS FOR AGGREGATION ---
-df = df[df['Date'].notnull()].copy()
+
+# --- CONVERT DATE TO DATETIME SAFELY ---
+df['Date'] = pd.to_datetime(df['Date'], errors='coerce')
 
 df['Year'] = df['Date'].dt.year
-df['Month'] = df['Date'].dt.to_period('M').dt.to_timestamp()  # converto Period -> Timestamp
+df['Date'] = pd.to_datetime(df['Date'])
+df['Month'] = df['Date'].dt.to_period('M')
 df['Day'] = df['Date'].dt.date
 
+
 # --- GRADIO FUNCTION ---
 def show_sentiment(selected_companies, aggregation="Day"):
     # filtraggio aziende