Update app.py

app.py

@@ -25,20 +25,21 @@ suspicious_words = [
     "saboteur", "suicide", "discreet", "hide", "action", "profile", "alert", "vigilant", "clandestine", "riot", "arms", "deal"
 ]
 
-questions = ["What event is going to take place?", "Where is it going to happen", "What time is it going to happen?"]
-
 # Initialize Streamlit app
 st.title("Crime Detection App")
 
 # Load data
-df = pd.read_excel('senti2.xlsx')
+df = pd.read_excel('senti.xlsx')
 parsed_column = df['sentences'].to_list()
 
 # Process sentences and store results
 output_data = {'Crime Detected': [], 'Location Detected': [], 'Time Detected': []}
 
 for sentence in parsed_column:
-    answers = nlp(questions, sentence)
+    answers = nlp({'question': "What event is going to take place?", 'context': sentence},
+                  {'question': "Where is it going to happen", 'context': sentence},
+                  {'question': "What time is it going to happen?", 'context': sentence})
+
     cw = set(answers[0]['answer'].lower().split()) & set(suspicious_words)
 
     if cw: