Update app.py

app.py

@@ -3,14 +3,14 @@ import plotly.express as px
 from datasets import load_dataset
 import gradio as gr
 
-# --- LOAD YOUR DATASET ---
+# --- LOAD DATASET ---
 df = pd.DataFrame(load_dataset("SelmaNajih001/NewsSentiment")["train"])
-df['Date'] = pd.to_datetime(df['Date'], errors='coerce').dt.normalize()
-
 # --- CREATE ADDITIONAL COLUMNS FOR AGGREGATION ---
+df = df[df['Date'].notnull()].copy()
+
 df['Year'] = df['Date'].dt.year
-df['Month'] = df['Date'].dt.to_period('M')  # YYYY-MM
-df['Day'] = df['Date'].dt.date              # solo data
+df['Month'] = df['Date'].dt.to_period('M').dt.to_timestamp()  # converto Period -> Timestamp
+df['Day'] = df['Date'].dt.date
 
 # --- GRADIO FUNCTION ---
 def show_sentiment(selected_companies, aggregation="Day"):