Update app.py

app.py

@@ -1,7 +1,35 @@
 import gradio as gr
 
+
+import tensorflow as tf
+import numpy as np
+import pickle
+
+# Load model, including its weights and the optimizer
+model = tf.keras.models.load_model('core4.h5')
+
+# load tokenizer
+with open('tokenizer.pickle', 'rb') as handle:
+    tokenize = pickle.load(handle)
+
+text_labels = ['How to apply', 'how much can I get', 'who can apply']
+
+# model.summary() # model architecture
+
 def greet(name):
-    return "Hello " + name + "!!"
+
+  tokenizedText = tokenize.texts_to_matrix([string])
+  prediction = model.predict(np.array([tokenizedText[0]]))
+  predicted_label = text_labels[np.argmax(prediction)]
+
+  print(prediction[0][np.argmax(prediction)])
+  print("Predicted label: " + predicted_label + "\n")
+
+  return predicted_label
+
+
+#One testing case
+
 
 iface = gr.Interface(fn=greet, inputs="text", outputs="text")
 iface.launch()