Upload 3 files

app.py

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+from fastai.vision.all import *
+from io import BytesIO
+import requests
+import streamlit as st
+
+"""
+# U-Net
+This is a segmentation model for images of Brain MRI.
+"""
+
+def predict(img):
+    st.image(img, caption="Your image", use_column_width=True)
+    pred_mask = learn_inf.predict(img)[0]
+    pred_mask = pred_mask.numpy()*255
+    # pred, key, probs = learn_inf.predict(img)
+    # st.write(learn_inf.predict(img))
+
+    f"""
+    ### Rediction result:
+    """
+    st.image(pred_mask, caption="Prediction Mask", use_column_width=True)
+
+def label_func(x):
+    return x.parents[0] / (x.stem + '_mask' + x.suffix)
+      
+path = "./"
+learn_inf = load_learner(path + "model-34")
+
+option = st.radio("", ["Upload Image", "Image URL"])
+
+if option == "Upload Image":
+    uploaded_file = st.file_uploader("Please upload an image.")
+
+    if uploaded_file is not None:
+        img = PILImage.create(uploaded_file)
+        predict(img)
+
+else:
+    url = st.text_input("Please input a url.")
+
+    if url != "":
+        try:
+            response = requests.get(url)
+            pil_img = PILImage.create(BytesIO(response.content))
+            predict(pil_img)
+
+        except:
+            st.text("Problem reading image from", url)
+            

requirements.txt

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+fastbook
+altair<5

resnet34_stage-2.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:df8dd2618d6acdafcf4492ede89ca5ab6d55f93a39e6e2cbfa90417ddba40ff4
+size 37242314