create manage.py

manage.py

@@ -0,0 +1,18 @@
+import keras
+import joblib
+from happytransformer import HappyTextToText
+from IPython.display import FileLink
+from happytransformer import TTTrainArgs
+#args = TTTrainArgs(batch_size=8,num_train_epochs=10, learning_rate=1e-4)
+#happy_tt = HappyTextToText("T5", "prithivida/grammar_error_correcter_v1")
+#joblib.dump(happy_tt , 'finetuned_model_prithivida/grammar_error_correcter_v1')
+happy_tt = joblib.load("../input/grammar-error-correcter-model/grammar_error_correcter_v1_loss_0.28348055481910706lrt_1e-05")
+eval=[1.0]
+def gram(st):
+    #happy_tt
+    result_2 = m_jlib.generate_text(st, args=beam_settings)
+    print(result_2.text)
+    return result_2.text
+  
+st=input()
+gram(st)