Initial Commit of the app file

app.py

@@ -0,0 +1,60 @@
+from parrot import Parrot
+import torch
+import warnings
+warnings.filterwarnings("ignore")
+#import nltk #next stage, when executing multiple sentences
+
+import streamlit as st
+
+# ''' 
+# 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)
+
+
+@st.cache(allow_output_mutation=True)
+def load_model():
+    # Fetch & load model
+    parrot = Parrot(model_tag="prithivida/parrot_paraphraser_on_T5")
+    return parrot
+parrot = load_model()
+
+st.title("Let's Rewrite your sentence!")
+
+
+input_phrase = st.text_input("Input your text here:")
+option = st.selectbox('Do you want to preserve some of the original words?',
+    ('Yes', 'No'))
+if option == 'Yes':
+    oc = False
+else:
+    oc= True
+
+
+if st.button('Submit Text!'):
+    st.header(':blue[Input]')
+    st.write(f" {input_phrase}")
+    st.text("--"*30)
+    st.header(':blue[Output]')
+    output_phrases = parrot.augment(input_phrase=input_phrase,do_diverse=oc)
+    if output_phrases is not None:
+        for phrases in output_phrases:
+            score = phrases[1]
+            sentence = phrases[0]
+            if score > 0:
+                st.write(sentence)
+            else:
+                st.write("Sorry! No sentences were found with a good score!")
+    else:
+        st.write("Sorry! No sentences were found with a good score!")
+
+
+st.header("Feedback")
+st.write("[Kindly consider providing feedback!](https://forms.gle/97st7g2n9NNpqnXw5)")