app.py

app_star.py

@@ -24,9 +24,10 @@ unique_values = joblib.load('unique_values_star.joblib')
 unique_CL =  unique_values["Color"]
 unique_SC =  unique_values["Temperature"]
 
+st.title("My star type")
+st.image("https://study.com/academy/lesson/star-formation-main-sequence-dwarf-giant-stars.html")
+
 def main():
-    st.title("My star type")
-    st.image("https://study.com/academy/lesson/star-formation-main-sequence-dwarf-giant-stars.html")
     st.text('For comparing all models of ML It can be used for prediction')
     with st.form("questionaire"):
          K = st.slider('Temperature',min_value=1900,max_value=40000)
@@ -35,7 +36,6 @@ def main():
          AM = st.slider('Absolute Magnitude',min_value=1900,max_value=40000)
          CL = st.selectbox("General Color of Spectrum",options=unique_CL)
          SC = st.selectbox("Spectral_Class",options=unique_SC)
-         
          clicked = st.form_submit_button("Predict type")
          if clicked:
             result=model.predict(pd.DataFrame({"Temperature": [K],