Update app.py

app.py

@@ -20,7 +20,7 @@ client = InferenceClient(
 
 def todays_news():
     url = 'https://trendlyne.com/markets-today/'
-
+    print("getting news from", url)
     # Fetch the HTML content of the webpage
     html_content = requests.get(url).text
     soup = BeautifulSoup(html_content, 'html.parser')
@@ -38,11 +38,16 @@ def todays_news():
         timestampo = timestamp.text.strip() if timestamp else timestampo
         timestamps.append(timestampo)
         stock_names.append(insight.find(class_='stock-name').text.strip())
-        stock_href.append(insight.find(class_='stock-name').find('a')['href'])
+        print("stock_name retrieved")
+        stock_href.append("https://trendlyne.com"+insight.find(class_='stock-name').find('a')['href'])
+        print("stock_link retrieved")
         insight_label.append(insight.find(class_='stock-insight-label').text.strip())
+        print("stock_label retrieved")
         notification.append(insight.find(class_='insight-notification').text.strip())
+        print("stock_notification retrieved")
 
     df = pd.DataFrame({"Timestamp": timestamps, "Stock": stock_names, "Link": stock_href, "Label": insight_label, "Notification": notification})
+    print("Dataframe created for stocks in news today")
     df_dict = df.to_dict('records')
     return df_dict