Teste

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import numpy as np
import requests
import json

import numpy as np import requests import json

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# Carregue o conjunto de teste do MNIST
from tensorflow import keras
(x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data()
x_test = x_test / 255.0

# Carregue o conjunto de teste do MNIST from tensorflow import keras (x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data() x_test = x_test / 255.0

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# Pegue uma imagem de teste
img = x_test[0]
img_input = np.expand_dims(img, axis=0)  # shape (1, 28, 28)

# Pegue uma imagem de teste img = x_test[0] img_input = np.expand_dims(img, axis=0) # shape (1, 28, 28)

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data = json.dumps({"instances": img_input.tolist()})

data = json.dumps({"instances": img_input.tolist()})

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url = "http://localhost:8501/v1/models/mnist:predict"
response = requests.post(url, data=data, headers={"content-type": "application/json"})

url = "http://localhost:8501/v1/models/mnist:predict" response = requests.post(url, data=data, headers={"content-type": "application/json"})

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print("Resposta da API:", response.json()) # Exibe a resposta completa da API

print("Resposta da API:", response.json()) # Exibe a resposta completa da API

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# Extraia o dígito previsto
pred_digit = np.argmax(response.json()['predictions'][0])
print("Predito:", pred_digit, "Verdadeiro:", y_test[0])

# Extraia o dígito previsto pred_digit = np.argmax(response.json()['predictions'][0]) print("Predito:", pred_digit, "Verdadeiro:", y_test[0])