fixed onehotencoder issue

app.py

@@ -26,6 +26,9 @@ def main():
 	<div style="background-color:pink;"><p style="color:white;font-size:75px;padding:10px">Room Occupancy Predictor 💡</p></div>
 	"""
 	st.markdown(html_temp,unsafe_allow_html=True)
+	if st.button("Thanks"):
+		st.balloons()
+
 	def file_selector(folder_path='./dataset'):
 		filenames = os.listdir(folder_path)
 		selected_filename = st.selectbox("Select A file",filenames)
@@ -163,8 +166,7 @@ def main():
 		df.loc[:,x] = le.fit_transform(df[x])
 		onehotencoder = OneHotEncoder()
 		df.loc[:,~cats].join(pd.DataFrame(data=onehotencoder.
-		fit_transform (df.loc[:,cats]).toarray(), columns=
-	onehotencoder.get_feature_names()))
+		fit_transform (df.loc[:,cats]).toarray(), columns=onehotencoder.get_feature_names()))
 
 	chosen_target = st.sidebar.selectbox("Please choose target column", (df.columns))