Initial

app.py

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+from parrot import Parrot
+import torch
+import warnings
+warnings.filterwarnings("ignore")
+
+''' 
+uncomment to get reproducable paraphrase generations
+def random_state(seed):
+  torch.manual_seed(seed)
+  if torch.cuda.is_available():
+    torch.cuda.manual_seed_all(seed)
+
+random_state(1234)
+'''
+
+#Init models (make sure you init ONLY once if you integrate this to your code)
+parrot = Parrot(model_tag="prithivida/parrot_paraphraser_on_T5", use_gpu=False)
+
+
+phrases = ["Can you recommed some upscale restaurants in Newyork?",
+           "What are the famous places we should not miss in Russia?"
+]
+
+for phrase in phrases:
+  print("-"*100)
+  print("Input_phrase: ", phrase)
+  print("-"*100)
+  para_phrases = parrot.augment(input_phrase=phrase)
+  for para_phrase in para_phrases:
+   print(para_phrase)

requirements.txt

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+git+https://github.com/PrithivirajDamodaran/Parrot_Paraphraser.git
+torch==2.0.1