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Update my_model/utilities/state_manager.py
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my_model/utilities/state_manager.py
CHANGED
@@ -6,8 +6,6 @@ from my_model.KBVQA import KBVQA, prepare_kbvqa_model
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class StateManager:
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# def __init__(self):
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# self.initialize_state()
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def initialize_state(self):
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if 'images_data' not in st.session_state:
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@@ -38,7 +36,7 @@ class StateManager:
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st.table(pd.DataFrame(data))
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def display_session_state(self):
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st.write("
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data = [{'Key': key, 'Value': str(value)} for key, value in st.session_state.items()]
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df = pd.DataFrame(data)
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st.table(df)
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@@ -52,7 +50,6 @@ class StateManager:
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st.text("AAAAAAA")
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st.session_state['kbvqa'].detection_confidence = st.session_state.confidence_level
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#self.update_model_settings(detection_model, confidence_level)
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st.text("Model is ready for inference.")
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# Update the previous state with current session state values
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st.session_state['previous_state'] = {'method': st.session_state.method, 'detection_model': st.session_state.detection_model, 'confidence_level': st.session_state.confidence_level}
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class StateManager:
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def initialize_state(self):
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if 'images_data' not in st.session_state:
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st.table(pd.DataFrame(data))
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def display_session_state(self):
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st.write("Current Model:")
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data = [{'Key': key, 'Value': str(value)} for key, value in st.session_state.items()]
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df = pd.DataFrame(data)
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st.table(df)
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st.text("AAAAAAA")
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st.session_state['kbvqa'].detection_confidence = st.session_state.confidence_level
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#self.update_model_settings(detection_model, confidence_level)
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# Update the previous state with current session state values
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st.session_state['previous_state'] = {'method': st.session_state.method, 'detection_model': st.session_state.detection_model, 'confidence_level': st.session_state.confidence_level}
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