Sachin Pal Sachin-crypto

## append.py
# List of names
friends = ['Sachin', 'Rishu', 'Yashwant']
# Printing the original list
print('Original List:', friends)
# Appending an element
friends.append('Abhishek')
# Printing the updated list
print('New List: ', friends)

## extendd.py
# List of names
friends = ['Sachin', 'Rishu', 'Yashwant']
# Printing the original list
print('Original List:', friends)
# Using extend() to extend the list
friends.extend(['Yogesh', 'Abhishek'])
# Printing the updated list
print('New List: ', friends)

## insertt.py
# List of names
friends = ['Sachin', 'Rishu', 'Yashwant']
# Printing the original list
print('Original List:', friends)
# Inserting an element
friends.insert(1, 'Abhishek')
# Printing the updated list
print('New List: ', friends)

## adoption_pet.py
'''
A Python program to adopt a pet and appending the details in a file.
The entry can also be viewed by reading the file
'''

import datetime


# Defining main function
def get_pet(pet):

## taking_input_and_predicting.py
img_input = input("Enter the path of an image: ")
display_and_predict(img_input)

## libs.py
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image

## predicting_on_image.py
img_input = input("Enter the path of an image: ")
display_and_predict(img_input)

## prediction.py
# Function to display and predicting the Image
def display_and_predict(img_path_input):
    display_img = Image.open(img_path_input)
    plt.imshow(display_img)
    plt.show()
    img = preprocess_img(img_path_input)
    pred = predict_result(img)
    print("Prediction: ", pred)

## predict_result.py
def predict_result(predict):
    pred = my_model.predict(predict)
    return np.argmax(pred[0], axis=-1)

## preprocess_img.py
def preprocess_img(img_path):
    open_img = image.load_img(img_path, target_size=(224, 224))
    img_arr = image.img_to_array(open_img)/255.0
    img_reshape = img_arr.reshape(1, 224,224,3)
    return img_reshape
	# List of names
	friends = ['Sachin', 'Rishu', 'Yashwant']
	# Printing the original list
	print('Original List:', friends)
	# Appending an element
	friends.append('Abhishek')
	# Printing the updated list
	print('New List: ', friends)
	'''
	A Python program to adopt a pet and appending the details in a file.
	The entry can also be viewed by reading the file
	'''

	import datetime


	# Defining main function
	def get_pet(pet):
	img_input = input("Enter the path of an image: ")
	display_and_predict(img_input)
	import numpy as np
	import matplotlib.pyplot as plt
	from PIL import Image
	# Function to display and predicting the Image
	def display_and_predict(img_path_input):
	display_img = Image.open(img_path_input)
	plt.imshow(display_img)
	plt.show()
	img = preprocess_img(img_path_input)
	pred = predict_result(img)
	print("Prediction: ", pred)
	def predict_result(predict):
	pred = my_model.predict(predict)
	return np.argmax(pred[0], axis=-1)
	def preprocess_img(img_path):
	open_img = image.load_img(img_path, target_size=(224, 224))
	img_arr = image.img_to_array(open_img)/255.0
	img_reshape = img_arr.reshape(1, 224,224,3)
	return img_reshape