| import gradio as gr | |
| import tensorflow as tf | |
| import tensorflow_text as text | |
| reloaded_model = tf.saved_model.load("./imdb_bert") | |
| def sentiment(text): | |
| reloaded_results = tf.sigmoid(reloaded_model(tf.constant([text]))) | |
| if reloaded_results[0].numpy()[0] > 0.5: | |
| return "Positive" | |
| else: | |
| return "Negative" | |
| iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| iface.launch() |