Update my_model/tabs/run_inference.py
Browse files
my_model/tabs/run_inference.py
CHANGED
@@ -58,7 +58,6 @@ class InferenceRunner(StateManager):
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with self.col2:
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for image_key, image_data in self.get_images_data().items():
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with st.container():
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self.display_session_state()
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nested_col21, nested_col22 = st.columns([0.65, 0.35])
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image_for_display = self.resize_image(image_data['image'], 600)
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nested_col21.image(image_for_display, caption=f'Uploaded Image: {image_key[-11:]}')
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@@ -95,9 +94,33 @@ class InferenceRunner(StateManager):
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def display_message(self, message, warning=False, write=False, text=False):
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pass
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def run_inference(self):
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self.set_up_widgets()
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load_fine_tuned_model = False
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fine_tuned_model_already_loaded = False
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@@ -137,7 +160,7 @@ class InferenceRunner(StateManager):
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t1=time.time()
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free_gpu_resources()
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self.load_model()
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st.session_state['time_taken_to_load_model'] = time.time()-t1
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st.session_state['loading_in_progress'] = False
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elif fine_tuned_model_already_loaded:
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@@ -154,7 +177,7 @@ class InferenceRunner(StateManager):
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free_gpu_resources()
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t1=time.time()
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self.force_reload_model()
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st.session_state['time_taken_to_load_model'] = time.time()-t1
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st.session_state['loading_in_progress'] = False
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st.session_state['model_loaded'] = True
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with self.col2:
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for image_key, image_data in self.get_images_data().items():
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with st.container():
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nested_col21, nested_col22 = st.columns([0.65, 0.35])
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image_for_display = self.resize_image(image_data['image'], 600)
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nested_col21.image(image_for_display, caption=f'Uploaded Image: {image_key[-11:]}')
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def display_message(self, message, warning=False, write=False, text=False):
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pass
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@st.experimental_memo(show_spinner=False)
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def trigger_rerun(self):
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pass # No need for any specific code here
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def run_inference(self):
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if st.button("Re-run App"):
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self.trigger_rerun(None) # Force a re-run
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else:
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# Trigger re-run every 5 seconds (example)
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if time.time() - st.session_state.get("last_rerun", 0) > 5:
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self.trigger_rerun(None)
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st.session_state["last_rerun"] = time.time()
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self.set_up_widgets()
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load_fine_tuned_model = False
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fine_tuned_model_already_loaded = False
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t1=time.time()
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free_gpu_resources()
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self.load_model()
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st.session_state['time_taken_to_load_model'] = int(time.time()-t1)
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st.session_state['loading_in_progress'] = False
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elif fine_tuned_model_already_loaded:
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free_gpu_resources()
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t1=time.time()
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self.force_reload_model()
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st.session_state['time_taken_to_load_model'] = int(time.time()-t1)
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st.session_state['loading_in_progress'] = False
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st.session_state['model_loaded'] = True
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