Upload 3 files

app.py

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+import streamlit as st
+from PIL import Image
+from tensorflow.keras.models import load_model
+import numpy as np
+
+model=load_model("my_model.h5")
+st.title("MNIST Dataset Predictor")
+img=st.camera_input("Camera")
+def process(input_image):
+    input_image=input_image.resize((28,28)).convert("L")
+    input_image=np.array(input_image)
+    input_image=input_image/255
+    input_image=np.expand_dims(input_image,axis=0)
+    input_image=input_image.reshape(1,28,28,1)
+    return input_image
+if img is not None:
+    img=Image.open(img)
+    image=process(img)
+    prediction=model.predict(image)
+    predicted_class=np.argmax(prediction)
+    class_names=["T-shirt/top","Trouser","Pullover","Dress","Coat","Sandal","Shirt","Sneaker","Bag","Ankle boot"]
+    st.write(class_names[predicted_class])

my_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6b75d2dcb69a1b6547f1f404d9777ff471197a0e3411b8e8fabd0b3d0b0aba41
+size 2730968

requirements.txt

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+pillow
+tensorflow
+numpy
+streamlit