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Runtime error
| import gradio as gr | |
| import pickle | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| import os | |
| import PIL | |
| import tensorflow as tf | |
| from tensorflow import keras | |
| from tensorflow.keras import layers | |
| from keras.models import load_model | |
| img_height,img_width=180,180 | |
| model_flower = keras.models.load_model('model_flower.h5') | |
| class_names = ['daisy', 'dandelion', 'roses', 'sunflowers', 'tulips'] | |
| def predict_image(img): | |
| img_2d=img.reshape(-1,180,180,3) | |
| prediction=model_flower.predict(img_2d)[0] | |
| return {class_names[i]: float(prediction[i]) for i in range(5)} | |
| image = gr.inputs.Image(shape=(180,180)) | |
| label = gr.outputs.Label(num_top_classes=5) | |
| gr.Interface(fn=predict_image, inputs=image, outputs=label,interpretation='default').launch() |