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Update app.py
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app.py
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@@ -6,20 +6,6 @@ from streamlit import components
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from transformers import AutoModelForSequenceClassification, AutoTokenizer
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from transformers_interpret import SequenceClassificationExplainer
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st.title("Hello World!")
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st.write(pathlib.Path.home())
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st.write(pydicom)
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#os.environ["TOKENIZERS_PARALLELISM"] = "false"
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#logging.basicConfig(
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# format="%(asctime)s : %(levelname)s : %(message)s", level=logging.INFO
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#)
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#def print_memory_usage():
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# logging.info(f"RAM memory % used: {psutil.virtual_memory()[2]}")
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@st.cache(allow_output_mutation=True, suppress_st_warning=True, max_entries=1)
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def load_model(model_name):
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@@ -30,7 +16,6 @@ def load_model(model_name):
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print ("before main")
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st.title("Transformers Interpet Demo App")
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print ("before main")
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from transformers import AutoModelForSequenceClassification, AutoTokenizer
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from transformers_interpret import SequenceClassificationExplainer
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@st.cache(allow_output_mutation=True, suppress_st_warning=True, max_entries=1)
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def load_model(model_name):
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print ("before main")
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st.title("Transformers Interpet Demo App")
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print ("before main")
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