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Add more print statements to provide more info on whats happening behind the scenes.
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@ -64,6 +64,7 @@ blip_model = None
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#blip_model_url = 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model*_base_caption.pth'
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def load_blip_model():
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print ("Loading BLIP Model")
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st.session_state["log_message"].code("Loading BLIP Model", language='')
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with server_state_lock['blip_model']:
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@ -72,9 +73,11 @@ def load_blip_model():
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image_size=blip_image_eval_size, vit='base', med_config="configs/blip/med_config.json")
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blip_model.eval()
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blip_model = blip_model.to(device).half()
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print ("BLIP Model Loaded")
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st.session_state["log_message"].code("BLIP Model Loaded", language='')
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else:
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print ("BLIP Model already loaded")
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st.session_state["log_message"].code("BLIP Model Already Loaded", language='')
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return blip_model
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@ -130,6 +133,7 @@ def batch_rank(model, image_features, text_array, batch_size=st.session_state["d
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def interrogate(image, models):
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global blip_model
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blip_model = load_blip_model()
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print ("Generating Caption")
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st.session_state["log_message"].code("Generating Caption", language='')
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@ -148,7 +152,8 @@ def interrogate(image, models):
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table = []
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bests = [[('',0)]]*5
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print ("Ranking Text")
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for model_name in models:
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print(f"Interrogating with {model_name}...")
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st.session_state["log_message"].code(f"Interrogating with {model_name}...", language='')
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