Updated app.py for text detect app

app.py

@@ -1,7 +1,24 @@
+#Import libraries
+import numpy as np
+import tensorflow as tf
+from tensorflow.keras.models import load_model
+import tensorflow_text as tf_text
+import tensorflow_hub as hub
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+#Import model
+model = tf.keras.models.load_model('detect_LLM_colab_method2')
+
+
+#Function that predicts for a given text
+def LLM_text(Text):
+  prediction = model.predict([Text])
+  output_text = 'Your text is {}% likely to be a LLM generated.'.format(round(prediction[0][0]*100, 2))
+
+  return output_text
+
+
+
+iface = gr.Interface(fn=LLM_text, inputs="text", outputs="text")
 iface.launch()