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Update my_model/tabs/run_inference.py
Browse files
my_model/tabs/run_inference.py
CHANGED
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@@ -244,7 +244,6 @@ class InferenceRunner(StateManager):
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reload_detection_model = False
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force_reload_full_model = False
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# self.update_prev_state()
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st.session_state.button_label = (
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"Reload Model" if (self.is_model_loaded and
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st.session_state.kbvqa.detection_model != st.session_state['detection_model']) or
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@@ -252,7 +251,7 @@ class InferenceRunner(StateManager):
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st.session_state['method'] != st.session_state['previous_state']['method'])
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else "Load Model"
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)
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if st.session_state.button_label == "Reload Model":
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self.col1.warning("Model settings have changed, please reload the model.. ")
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@@ -304,11 +303,6 @@ class InferenceRunner(StateManager):
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f'Model using {st.session_state.method} is desgined but requires large scale data and multiple '
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f'high-end GPUs, implementation will be explored in the future.')
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st.write(st.session_state['method'])
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st.write(st.session_state['previous_state']['method'])
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if st.session_state['kbvqa'] is not None:
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st.write(st.session_state['kbvqa'].kbvqa_model_name)
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if self.is_model_loaded:
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free_gpu_resources()
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st.session_state['loading_in_progress'] = False
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reload_detection_model = False
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force_reload_full_model = False
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st.session_state.button_label = (
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"Reload Model" if (self.is_model_loaded and
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st.session_state.kbvqa.detection_model != st.session_state['detection_model']) or
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st.session_state['method'] != st.session_state['previous_state']['method'])
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else "Load Model"
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)
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+
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if st.session_state.button_label == "Reload Model":
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self.col1.warning("Model settings have changed, please reload the model.. ")
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f'Model using {st.session_state.method} is desgined but requires large scale data and multiple '
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f'high-end GPUs, implementation will be explored in the future.')
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if self.is_model_loaded:
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free_gpu_resources()
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st.session_state['loading_in_progress'] = False
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