Update my_model/tabs/run_inference.py

my_model/tabs/run_inference.py

@@ -63,7 +63,7 @@ class InferenceRunner(StateManager):
                 image = Image.open(sample_image_path)
                 image_for_display = self.resize_image(sample_image_path, 80, 80)
                 st.image(image_for_display)
-                if st.button(f'Select Sample Image {idx + 1}', key=f'sample_{idx}'):
+                if st.button(f'Select Sample Image {idx + 1}', key=f'sample_{idx+1}'):
                     self.process_new_image(sample_image_path, image)
 
     def handle_image_upload(self) -> None:
@@ -122,7 +122,8 @@ class InferenceRunner(StateManager):
 
         if self.settings_changed or self.confidance_change:
             nested_col22.warning("Confidence level changed, please click 'Analyze Image'.")
-            nested_col22.write(self.settings_changed, self.confidance_change)
+            nested_col22.write(self.settings_changed)
+            nested_col22.write(self.confidance_change)
 
     def display_question_answering_interface(self, image_key: str, image_data: Dict, nested_col22: st.columns) -> None:
         """
@@ -262,7 +263,7 @@ class InferenceRunner(StateManager):
                 
 
             elif st.session_state.method == "Learning Visual Embeddings":
-                self.col1.warning(f'Model using {st.session_state.method} is desgined but requires large scale data and multiple high-end GPUS, implementation will be explored in the future.')
+                self.col1.warning(f'Model using {st.session_state.method} is desgined but requires large scale data and multiple high-end GPUs, implementation will be explored in the future.')
             
         
         if self.is_model_loaded: