Create analysis_sentiment.py

analysis_sentiment.py

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+import tensorflow as tf
+import gradio as gr
+
+def frase(Frase):
+	modelo = tf.keras.models.load_model("model_experiments_spanish/model_nlp_spanish_2")
+	#modelo.summary()
+	classes = ['alegría', 'amor', 'enojo', 'miedo', 'sorpresa', 'tristeza']
+	#sentences = [input("Ingrese frase:")]
+	modelo_preds = modelo.predict([Frase])
+	#print(modelo_preds)
+	print(f"The sentences contains: {classes[tf.argmax(tf.squeeze(modelo_preds))]}")
+	clas = classes[tf.argmax(tf.squeeze(modelo_preds))]
+	return clas
+interface = gr.Interface(fn=frase,inputs='text',outputs='text')
+interface.launch(inplace=False)
+
+