changes layout

app.py

@@ -117,10 +117,35 @@ def annotate(text, st_analyze_results, st_entities):
 
 st.set_page_config(page_title="Bitahoy demo", layout="wide")
 
-# Side bar
+# Side bar -------------------------------------------
+st.sidebar.markdown(
+"""
+Detect and anonymize PII in structured text such as protocol traces (JSON, SQL, XML etc.)
+"""
+)
 # add picture with
 st.sidebar.image("assets/bitahoy-logo.png", width=200)
 
+# dropdown
+titles, urls, jsons = load_data("assets/data_sorted.csv")
+option_list = titles
+option = st.selectbox(
+    'Choose an existing structured input?',
+    option_list)
+
+st.write('You selected:', option)
+
+#romans complex dropdown
+# st.checkbox("Enable/Disable input of existing data", key="disabled")
+#
+#     option = st.selectbox(
+#         "Choose an existing structured input?",
+#         option_list,
+#         # label_visibility=st.session_state.visibility,
+#         disabled=st.session_state.disabled,
+#     )
+#     st.write('You selected:', option)
+
 st_entities = st.sidebar.multiselect(
     label="Which entities to look for?",
     options=get_supported_entities(),
@@ -134,12 +159,13 @@ st_threshold = st.sidebar.slider(
 st_return_decision_process = st.sidebar.checkbox(
     "Add analysis explanations in json")
 
-st.sidebar.markdown(
-    """
-Detect and anonymize PII in text using an [NLP model](https://huggingface.co/beki/en_spacy_pii_distilbert) trained on protocol traces (JSON, SQL, XML etc.) generated by 
-[Privy](https://github.com/pixie-io/pixie/tree/main/src/datagen/pii/privy) and rule-based classifiers from [Presidio](https://aka.ms/presidio).
-"""
-)
+button = st.button("Detect PII")
+
+# vertical space
+st.text("")
+# vertical space
+st.text("")
+
 
 st.sidebar.info(
     "Privy is an open source framework for synthetic data generation in protocol trace formats (json, sql, html etc). Presidio is an open source framework for PII detection and anonymization. "
@@ -162,13 +188,14 @@ if "visibility" not in st.session_state:
 col1, col2 = st.columns(2)
 
 with col1:
+    st.subheader("Input")
     # st.radio(
     #     "Set selectbox label visibility 👉",
     #     key="visibility",
     #     options=["visible", "hidden", "collapsed"],
     # )
     st_text = st.text_area(
-        label="Type in some text",
+        label="Use dropdown or type in some text",
         value="SELECT shipping FROM users WHERE shipping = '201 Thayer St Providence RI 02912'"
               "\n\n"
               "{user: Willie Porter, ip: 192.168.2.80, email: willie@gmail.com}",
@@ -176,41 +203,28 @@ with col1:
     )
 
 with col2:
-    st.checkbox("Enable/Disable selectbox widget", key="disabled")
-    titles, urls, jsons = load_data("assets/data_sorted.csv")
-    option_list = titles
-    option = st.selectbox(
-        "How would you like to be contacted?",
-        option_list,
-        # label_visibility=st.session_state.visibility,
-        disabled=st.session_state.disabled,
-    )
-    st.write('You selected:', option)
+    st.subheader("Analyzed")
+    with st.spinner("Analyzing..."):
+        if button or st.session_state.first_load:
+            st_analyze_results = analyze(
+                text=st_text,
+                entities=st_entities,
+                language="en",
+                score_threshold=st_threshold,
+                return_decision_process=st_return_decision_process,
+            )
+            annotated_tokens = annotate(st_text, st_analyze_results, st_entities)
+            # annotated_tokens
+            annotated_text(*annotated_tokens)
 
 # end of col
-button = st.button("Detect PII")
 
 if 'first_load' not in st.session_state:
     st.session_state['first_load'] = True
 
 # After
-st.subheader("Analyzed")
-with st.spinner("Analyzing..."):
-    if button or st.session_state.first_load:
-        st_analyze_results = analyze(
-            text=st_text,
-            entities=st_entities,
-            language="en",
-            score_threshold=st_threshold,
-            return_decision_process=st_return_decision_process,
-        )
-        annotated_tokens = annotate(st_text, st_analyze_results, st_entities)
-        # annotated_tokens
-        annotated_text(*annotated_tokens)
-# vertical space
-st.text("")
 
-st.subheader("Anonymized")
+st.subheader("Anonymized final results")
 
 with st.spinner("Anonymizing..."):
     if button or st.session_state.first_load: