Upload app.py

app.py

@@ -0,0 +1,40 @@
+import os
+os.system('pip install gpt-2-simple')
+os.system('pip install tensorflow-estimator==1.15.1')
+
+import gpt_2_simple as gpt2
+import tensorflow as tf
+import pandas as pd
+import re
+import gradio as gr
+
+model_name = "124M"
+
+path = 'AbstractGenerator/'
+checkpoint_dir =path+'weights/'
+data_path = path+'Tokenized_data/'
+
+
+file_name = 'resumen'
+file_path = data_path+file_name
+
+prefix= '<|startoftext|>'
+sufix ='<|endoftext|>'
+
+print("GPU is", "available" if tf.test.is_gpu_available() else "NOT AVAILABLE")
+
+sess = gpt2.start_tf_sess()
+gpt2.load_gpt2(sess,checkpoint_dir=checkpoint_dir,run_name='run1')
+
+
+
+
+
+def greet(text):
+    return gpt2.generate(sess,prefix=text,truncate=sufix,checkpoint_dir=checkpoint_dir,nsamples=1)
+
+
+
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch(share=True)