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("model.h5")
+st.title("Whale Detection")
+img=st.camera_input("Camera")
+def process_image(input_img):
+    if input_img.mode == 'RGBA':
+        input_img = input_img.convert('RGB')
+    input_img=input_img.resize((170,170)) 
+    input_img=np.array(input_img)
+    input_img=input_img/255.0
+    input_img=np.expand_dims(input_img,axis=0)
+    return input_img
+if img is not None:
+    img=Image.open(img)
+    image=process_image(img)
+    prediction=model.predict(image)
+    predicted_class=np.argmax(prediction)
+    st.write(predicted_class,"You can learn information about labels in Kaggle.")

model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:66b9ac94f30f22fc76510341bda3b12d3eb960502bcbbb375a9c6e7b97de52ad
+size 12446692

requierments.txt

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+streamlit
+pillow
+tensorflow
+numpy