Create app.py

app.py

@@ -1,45 +1,3 @@
-import json
-from json import JSONDecodeError
+import streamlit as st 
 
-import streamlit as st
-from datasets import Dataset
-
-from spacy_to_hf import spacy_to_hf
-
-demo_option = [
-    {
-        "text": "Planned to go to the Apple Storefront on Tuesday",
-        "spans": [
-            {"start": 0, "end": 7, "label": "Action"},
-            {"start": 21, "end": 37, "label": "Loc"},
-            {"start": 41, "end": 48, "label": "Date"},
-        ],
-    }
-]
-
-tokenizers = [
-    "bert-base-uncased",
-    "bert-base-cased",
-    "distilbert-base-uncased",
-    "distilbert-base-cased",
-    "roberta-base",
-]
-tok = st.selectbox("Pick a tokenizer", tokenizers)
-spacy_data = st.text_area("Input your NER Span data here")
-
-if spacy_data or st.button("Or try an example"):
-    run_data = None
-    if spacy_data:
-        try:
-            run_data = json.loads(spacy_data)
-        except JSONDecodeError as e:
-            st.warning(f"Invalid JSON data, try again\n{str(e)}")
-    else:
-        run_data = demo_option
-    if run_data:
-        st.write("Spacy input data:")
-        st.json(run_data)
-        hf_data = spacy_to_hf(run_data, tok)
-        df = Dataset.from_dict(hf_data).to_pandas()
-        st.write("Output huggingface format:")
-        st.dataframe(df)
+st.write("Hello World!")