Initial commit

app.py

@@ -1,19 +1,7 @@
-from annotated_text import annotated_text
-from bs4 import BeautifulSoup
-from multiprocessing import Process
 import streamlit as st
-import pandas as pd
-import torch
-import math
-import re
+from multiprocessing import Process
 import time
-import json
 import os
-import requests
-import spacy
-import errant
-
-
 
 def start_server():    
     os.system("cat custom_req.txt | xargs -n 1 -L 1 pip install -U")
@@ -172,40 +160,52 @@ if __name__ == "__main__":
     if not st.session_state['models_loaded']:
         load_models() 
 
-
-st.title('Gramformer')
-st.subheader('A framework for correcting english grammatical errors')
-st.markdown("Built for fun with 💙  by a quintessential foodie - Prithivi Da, The maker of [WhatTheFood](https://huggingface.co/spaces/prithivida/WhatTheFood), [Styleformer](https://github.com/PrithivirajDamodaran/Styleformer) and [Parrot paraphraser](https://github.com/PrithivirajDamodaran/Parrot_Paraphraser) | ✍️ [@prithivida](https://twitter.com/prithivida) |[[GitHub]](https://github.com/PrithivirajDamodaran)", unsafe_allow_html=True)
-
-examples = [
-            "what be the reason for everyone leave the comapny",
-            "He are moving here.",
-            "I am doing fine. How is you?",
-            "How is they?",
-            "Matt like fish",
-            "the collection of letters was original used by the ancient Romans",
-            "We enjoys horror movies",
-            "Anna and Mike is going skiing",
-            "I walk to the store and I bought milk",
-            " We all eat the fish and then made dessert",
-            "I will eat fish for dinner and drink milk",
-            ]
-
-nlp = spacy.load('en_core_web_sm')
-annotator = errant.load('en', nlp)
-
-input_text = st.selectbox(
-label="Choose an example",
-options=examples
-)
-st.write("(or)")
-input_text = st.text_input(
-    label="Enter your own text",
-    value=input_text
-)
-
-if input_text.strip(): 
-    get_correction(input_text)
+    from annotated_text import annotated_text
+    from bs4 import BeautifulSoup
+    import pandas as pd
+    import torch
+    import math
+    import re
+    import json
+    import requests
+    import spacy
+    import errant
+
+
+
+    st.title('Gramformer')
+    st.subheader('A framework for correcting english grammatical errors')
+    st.markdown("Built for fun with 💙  by a quintessential foodie - Prithivi Da, The maker of [WhatTheFood](https://huggingface.co/spaces/prithivida/WhatTheFood), [Styleformer](https://github.com/PrithivirajDamodaran/Styleformer) and [Parrot paraphraser](https://github.com/PrithivirajDamodaran/Parrot_Paraphraser) | ✍️ [@prithivida](https://twitter.com/prithivida) |[[GitHub]](https://github.com/PrithivirajDamodaran)", unsafe_allow_html=True)
+
+    examples = [
+                "what be the reason for everyone leave the comapny",
+                "He are moving here.",
+                "I am doing fine. How is you?",
+                "How is they?",
+                "Matt like fish",
+                "the collection of letters was original used by the ancient Romans",
+                "We enjoys horror movies",
+                "Anna and Mike is going skiing",
+                "I walk to the store and I bought milk",
+                " We all eat the fish and then made dessert",
+                "I will eat fish for dinner and drink milk",
+                ]
+
+    nlp = spacy.load('en_core_web_sm')
+    annotator = errant.load('en', nlp)
+
+    input_text = st.selectbox(
+    label="Choose an example",
+    options=examples
+    )
+    st.write("(or)")
+    input_text = st.text_input(
+        label="Enter your own text",
+        value=input_text
+    )
+
+    if input_text.strip(): 
+        get_correction(input_text)