Update README.md

README.md

@@ -22,20 +22,13 @@ import joblib
 model = joblib.load(
 	hf_hub_download("DineshKumar1329/Sentiment_Analysis", "sklearn_model.joblib")
 )
-
 tfidf_vectorizer = joblib.load('/content/vectorizer_model.joblib')  # Replace with your actual filename
-
 user_input = input("Enter a sentence: ")
-
 cleaned_input = clean_text(user_input)
-
 input_matrix = tfidf_vectorizer.transform([cleaned_input])
-
 prediction = model.predict(input_matrix)[0]
-
 print(f"Predicted Sentiment: {prediction}")
 df_result = pd.DataFrame({'User_Input': [user_input], 'Predicted_Sentiment': [prediction]})
-
 excel_filename = '/content/output_predictions.xlsx'  # Replace with your desired filename
 try:
     # Load existing predictions from the Excel file
@@ -43,9 +36,7 @@ try:
 
     # Append the new predictions to the existing DataFrame
     df_combined = pd.concat([df_existing, df_result], ignore_index=True)
-
 except FileNotFoundError:
     # If the file doesn't exist, create a new DataFrame
     df_combined = df_result
-
 df_combined.to_excel(excel_filename, index=False)