Create state_manager.py

my_model/utilities/state_manager.py

@@ -0,0 +1,90 @@
+import pandas as pd
+import streamlit as st
+
+
+class StateManager:
+    def __init__(self):
+        self.initialize_state()
+
+    def initialize_state(self):
+        if 'images_data' not in st.session_state:
+            st.session_state['images_data'] = {}
+        if 'model_settings' not in st.session_state:
+            st.session_state['model_settings'] = {'detection_model': None, 'confidence_level': None}
+        if 'kbvqa' not in st.session_state:
+            st.session_state['kbvqa'] = None
+        if 'selected_method' not in st.session_state:
+            st.session_state['selected_method'] = None
+
+    def update_model_settings(self, detection_model=None, confidence_level=None, selected_method=None):
+        if detection_model is not None:
+            st.session_state['model_settings']['detection_model'] = detection_model
+        if confidence_level is not None:
+            st.session_state['model_settings']['confidence_level'] = confidence_level
+        if selected_method is not None:
+            st.session_state['selected_method'] = selected_method
+
+    def check_settings_changed(self, current_selected_method, current_detection_model, current_confidence_level):
+        return (st.session_state['model_settings']['detection_model'] != current_detection_model or
+                st.session_state['model_settings']['confidence_level'] != current_confidence_level or
+                st.session_state['selected_method'] != current_selected_method)
+
+    def display_model_settings(self):
+        st.write("### Current Model Settings:")
+        st.table(pd.DataFrame(st.session_state['model_settings'], index=[0]))
+
+    def display_session_state(self):
+        st.write("### Current Session State:")
+        data = [{'Key': key, 'Value': str(value)} for key, value in st.session_state.items()]
+        df = pd.DataFrame(data)
+        st.table(df)
+
+    def get_model(self):
+        """Retrieve the KBVQA model from the session state."""
+        return st.session_state.get('kbvqa', None)
+
+    def is_model_loaded(self):
+        return 'kbvqa' in st.session_state and st.session_state['kbvqa'] is not None
+
+    def reload_detection_model(self, detection_model, confidence_level):
+        try:
+            free_gpu_resources()
+            if self.is_model_loaded():
+                prepare_kbvqa_model(detection_model, only_reload_detection_model=True)
+                st.session_state['kbvqa'].detection_confidence = confidence_level
+                self.update_model_settings(detection_model, confidence_level)
+            free_gpu_resources()
+        except Exception as e:
+            st.error(f"Error reloading detection model: {e}")
+
+    # New methods to be added
+    def process_new_image(self, image_key, image, kbvqa):
+        if image_key not in st.session_state['images_data']:
+            st.session_state['images_data'][image_key] = {
+                'image': image,
+                'caption': '',
+                'detected_objects_str': '',
+                'qa_history': [],
+                'analysis_done': False
+            }
+
+    def analyze_image(self, image, kbvqa):
+        img = copy.deepcopy(image)
+        caption = kbvqa.get_caption(img)
+        image_with_boxes, detected_objects_str = kbvqa.detect_objects(img)
+        return caption, detected_objects_str, image_with_boxes
+
+    def add_to_qa_history(self, image_key, question, answer):
+        if image_key in st.session_state['images_data']:
+            st.session_state['images_data'][image_key]['qa_history'].append((question, answer))
+
+    def get_images_data(self):
+        return st.session_state['images_data']
+
+    def update_image_data(self, image_key, caption, detected_objects_str, analysis_done):
+        if image_key in st.session_state['images_data']:
+            st.session_state['images_data'][image_key].update({
+                'caption': caption,
+                'detected_objects_str': detected_objects_str,
+                'analysis_done': analysis_done
+            })