Update my_model/tabs/run_inference.py

my_model/tabs/run_inference.py

@@ -99,36 +99,22 @@ def run_inference():
     state_manager.initialize_state()
     state_manager.set_up_widgets()
    # state_manager.display_session_state()
-
     state_manager.display_model_settings()
-   # state_manager.update_model_settings(detection_model=detection_model, confidence_level=confidence_level, selected_method=method)
-
-
-   # need_model_reload = state_manager.check_settings_changed(method, detection_model, confidence_level) and state_manager.is_model_loaded()
-    
-
-    button_label = "Reload Model" if st.session_state['kbvqa'] is not None else "Load Model"
-
+    button_label = "Reload Model" if state_manager.is_model_loaded() and state_manager.has_state_changed() else "Load Model"
     if st.session_state.method == "Fine-Tuned Model":
         if st.button(button_label):
             if button_label == "Load Model" and state_manager.is_model_loaded():
-               # st write(st.session_state['kbvqa'])
                 st.write("stop playing around :):)P:)")
-                st.write("Model already loaded.")
+                st.text("Model already loaded.")
             else:
-                
-                state_manager.load_model()
+                state_manager.reload_detection_model()
                 st.write("Model is ready for inference.")
-
         if state_manager.is_model_loaded():
-            
             image_qa_app(state_manager.get_model())
-
     else:
         st.write('Model is not ready yet, will be updated later.')
 
 
-
 def display_model_settings():
     st.write("### Current Model Settings:")
     st.table(pd.DataFrame(st.session_state['model_settings'], index=[0]))