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Update my_model/state_manager.py
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my_model/state_manager.py
CHANGED
@@ -3,7 +3,7 @@ import copy
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from PIL import Image
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import streamlit as st
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from my_model.utilities.gen_utilities import free_gpu_resources
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from my_model.KBVQA import KBVQA, prepare_kbvqa_model
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@@ -130,16 +130,18 @@ class StateManager:
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except Exception as e:
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st.error(f"Error loading model: {e}")
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def
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try:
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free_gpu_resources()
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st.session_state['kbvqa'] =
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st.session_state['kbvqa'].detection_confidence = st.session_state.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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st.session_state['model_loaded'] = True
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except Exception as e:
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st.error(f"Error loading model: {e}")
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# Function to check if any session state values have changed
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from PIL import Image
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import streamlit as st
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from my_model.utilities.gen_utilities import free_gpu_resources
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from my_model.KBVQA import KBVQA, prepare_kbvqa_model
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except Exception as e:
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st.error(f"Error loading model: {e}")
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def force_reload_model(self):
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try:
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free_gpu_resources()
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st.session_state['kbvqa'] = prepare_kbvqa_model(force_reload=True)
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st.session_state['kbvqa'].detection_confidence = st.session_state.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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st.session_state['model_loaded'] = True
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free_gpu_resources()
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except Exception as e:
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st.error(f"Error loading model: {e}")
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free_gpu_resources()
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# Function to check if any session state values have changed
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