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Update app.py
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app.py
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@@ -4,11 +4,19 @@ import numpy as np
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import pandas as pd
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import requests
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from io import BytesIO
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from fastai.vision.all import load_learner
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# Initialize Streamlit app
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st.title("White Blood Cell Classifier")
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# Load the FastAI model for WBC identification
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fastai_model = load_learner('model1.pkl')
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import pandas as pd
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import requests
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from io import BytesIO
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from fastai.vision.all import load_learner
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# Initialize Streamlit app
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st.title("White Blood Cell Classifier")
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# Add a description or subtitle
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st.markdown("""
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This app allows you to classify white blood cells from an uploaded image.
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You can upload an image of a blood sample, and the app will predict the type of white blood cell present.
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Choose from various cell types like eosinophil, lymphocyte, monocyte, and neutrophil.
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Note: To get the best results, please make sure there is only one WBC in the image. This model has not been trained on basophils.
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""")
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# Load the FastAI model for WBC identification
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fastai_model = load_learner('model1.pkl')
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