Initial commit

app.py

@@ -13,7 +13,8 @@ import errant
 import time
 import os
 
-def start_server():    
+def start_server():   
+    os.system("python -m spacy download en_core_web_sm") 
     os.system("uvicorn InferenceServer:app --port 8080 --host 0.0.0.0 --workers 1")
 
 def load_models():
@@ -147,7 +148,7 @@ def get_correction(input_text):
     correct_json = json.loads(correct_response.text)
     scored_corrected_sentence = correct_json["scored_corrected_sentence"]
     
-    corrected_sentence, score = scored_corrected_sentence[0]
+    corrected_sentence, score = scored_corrected_sentence
     st.markdown(f'##### Corrected text:')
     st.write('')
     st.success(corrected_sentence)
@@ -166,20 +167,20 @@ if __name__ == "__main__":
     
     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)
+    st.markdown("Built for fun with 💙  by 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.",
+                "The girls's backpacks are gone in the morning",
                 "I am doing fine. How is you?",
-                "How is they?",
+                "Each of you all should run fast", 
                 "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",
+                "I will eat fish for dinner and drank milk",
                 ]
 
     nlp = spacy.load('en_core_web_sm')