Update app.py

app.py

@@ -18,7 +18,7 @@ st.markdown('This NLP project helps you extract skills from job description. You
 
 @st.cache(allow_output_mutation=True)
 def get_model():
-    return spacy.load("en_core_web_sm")
+    return spacy.load("chali12/en_pipeline")
 
 nlp = get_model()
 
@@ -27,29 +27,3 @@ raw_text = st.text_area(label="Insert your job description")
 #if raw_text != "":
 docx = nlp(raw_text)
 spacy_streamlit.visualize_ner(docx, labels = nlp.get_pipe('ner').labels)
-#spacy_streamlit.visualize_ner(docx,labels=nlp.get_pipe('ner').labels)
-    
-
-#download the skills & job description in a csv from a df
-#@st.cache
-#def convert_df(df):
-  # IMPORTANT: Cache the conversion to prevent computation on every rerun
-  #return df.to_csv().encode('utf-8')
-
-#csv = convert_df(my_large_df)
-
-#st.download_button(
-     #label="Download as as CSV",
-     #data=csv,
-     #file_name='skills.csv',
-     #mime='text/csv',
- #)
-
-
-
-
-
-@st.cache  # 👈 This function will be cached
-def load_large_dataset():
-    # Do something really slow in here!
-    return load_dataset("glue", "sst2", split="validation")