Create app.py

app.py

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+import streamlit as st
+from PIL import Image
+import numpy as np
+from tensorflow.keras.applications.vgg19 import VGG19
+from tensorflow.keras.preprocessing import image
+from tensorflow.keras.applications.vgg19 import preprocess_input, decode_predictions
+import numpy as np
+import cv2
+import os
+
+def load_image(img_path):
+    img = cv2.imread(img_path)
+    img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+    return img
+
+def preprocess(img):
+    img = cv2.resize(img, (224, 224))
+    img = img.astype('float32')
+    img = preprocess_input(img)
+    return img
+
+def predict(img_path):
+    img = load_image(img_path)
+    img = preprocess(img)
+    img = np.expand_dims(img, axis=0)
+    model = VGG19(weights='imagenet')
+    preds = model.predict(img)
+    return decode_predictions(preds, top=3)[0]
+
+def display_images(image_order):
+    for i in range(len(image_order)):
+        st.write(f'Image {i+1}:')
+        st.image(images[image_order[i]-1])
+        st.text_input(f'Input for Image {i+1}')
+        st.text_area(f'Output for Image {i+1}')
+
+def photo():
+    st.header("Thresholding, Edge Detection and Contours")
+    if st.button('See Original Image of Tom'):
+        original = Image.open('tom.jpg')
+        st.image(original, use_column_width=True)
+
+    image = cv2.imread('tom.jpg')
+    image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+    x = st.slider('Change Threshold value',min_value = 50,max_value = 255)
+    ret,thresh1 = cv2.threshold(image,x,255,cv2.THRESH_BINARY)
+    thresh1 = thresh1.astype(np.float64)
+    st.image(thresh1, use_column_width=True,clamp = True)
+
+    st.text("Bar Chart of the image")
+    histr = cv2.calcHist([image],[0],None,[256],[0,256])
+    st.bar_chart(histr)
+
+    st.text("Press the button below to view Canny Edge Detection Technique")
+    if st.button('Canny Edge Detector'):
+        image = load_image("jerry.jpg")
+        edges = cv2.Canny(image,50,300)
+        cv2.imwrite('edges.jpg',edges)
+        st.image(edges,use_column_width=True,clamp=True)
+
+    y = st.slider('Change Value to increase or decrease contours',min_value = 50,max_value = 255)
+
+    if st.button('Contours'):
+        im = load_image("jerry1.jpg")
+        imgray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
+        ret,thresh =