added app file

app.py

@@ -0,0 +1,61 @@
+import spacy_streamlit
+import streamlit as st
+import json
+import pyautogui
+from normalizer import process_df
+from process_tags import list_ents, no_of_tags, color_creator, scatter_document
+
+tags_data = {
+"_dtags_": [],
+"DEP": [],
+"dep_explain": {},
+"_ptags_": [],
+"POS": [],
+"pos_explain": {},
+"_ntags_": ["concept", "tool", "framework", "crew", "position", "measurement", "artifact", "datasheet", "briefing", "standard", "insight", "client", "output", "output_component", "system", "challenge", "environment", "process", "process_component", "activity", "business_need", "third_party", "agreement", "raw_data", "authority", "resource_pool", "field_of_study", "geo_loc", "TBD"],
+"NER": ["concept", "#e3648a", "tool", "#d56b2e", "framework", "#ff0000", "crew", "#ffafcc", "position", "#a2cd5a", "measurement", "#779be7", "artifact", "#bee1e6", "datasheet", "#7e7d61", "briefing", "#4b8d76", "standard", "#9381ff", "insight", "#ffc125", "client", "#ffc6ff", "output", "#ffcfd2", "output_component", "#fde4cf", "system", "#656e1b", "challenge", "#ff5400", "environment", "#affc41", "process", "#adc178", "process_component", "#dde5b6", "activity", "#cfbaf0", "business_need", "#ced4da", "third_party", "#ee00ee", "agreement", "#484676", "raw_data", "#cdad00", "authority", "#d689c4", "resource_pool", "#8ea44c", "field_of_study", "#c39fe9", "geo_loc", "#c0ff3e", "TBD", "#ccdbfd"],
+"ner_explain": {},
+"_ctags_": [],
+"CAT": [],
+"cat_explain": {}
+}
+
+
+
+st.set_page_config(layout='wide')
+st.title("My Tag Visualizer")
+if st.button("Reset"):
+    pyautogui.hotkey("ctrl", "F5")
+with st.sidebar:
+    uploaded_file = st.file_uploader("Upload the sentence Json", type="json")
+    # uploaded_color = st.file_uploader("Upload the tag Json", type="json")
+if uploaded_file and uploaded_color is not None:
+    raw_data = json.load(uploaded_file)
+    # tags_data = json.load(uploaded_color)
+    df_list = []
+    key = 0
+    for data in raw_data:
+        df_list.append(process_df(data))
+    st.plotly_chart(scatter_document(df_list, tags_data), use_container_width=False)
+    tags = []
+    ent = []
+    for df in df_list:
+        ent = list_ents(df)
+        tags = list(no_of_tags(df).keys())
+        doc = [{
+            "text": ' '.join(df['words']),
+            "ents": ent,
+            "title": None
+        }]
+        spacy_streamlit.visualize_ner(
+            doc,
+            labels=tags,
+            show_table=False,
+            title=None,
+            manual=True,
+            displacy_options={
+                "colors": color_creator(tags_data["NER"])
+            },
+            key=f"{key}"
+        )
+        key += 1