Update src/streamlit_app.py

src/streamlit_app.py

@@ -69,7 +69,7 @@ def check_target_single_token(tokenizer, target_str: str) -> tuple[bool, list[in
 
 
 def _is_comma_delimited_numbers(s: str) -> bool:
-    """Check if string is comma-delimited integers."""
+    """Check if string is comma-delimited, two-digit integers."""
     try:
         parts = [x.strip() for x in s.split(",") if x.strip()]
         return len(parts) > 0 and all(p.lstrip("-").isdigit() for p in parts)
@@ -435,25 +435,29 @@ def main():
     model_name = MODEL_MAP[model_choice]
 
     attribution_type = st.radio(
-        "Attribution type",
+        "Scope type",
         options=["Semantic Scope", "Temperature Scope"],
         index=0,
         horizontal=True,
         key="attribution_type",
-        help="Semantic Scope: attribute toward a target token. Temperature Scope: use hidden-state norm.",
+        # help="Semantic Scope: attribute toward a target token. Temperature Scope: use hidden-state norm.",
     )
     mode = "Semantic" if attribution_type == "Semantic Scope" else "Temperature"
 
-    input_type_default = "text" if mode == "Semantic" else "comma_delimited"
-    input_type = st.radio(
-        "Input type",
-        options=["text", "comma-delimited numbers"],
-        index=0 if input_type_default == "text" else 1,
-        horizontal=True,
-        key=f"input_type_{mode}",
-        help="Text: natural language. Comma-delimited numbers: time-series style (delimiters skipped when calculating influence scores).",
-    )
-    is_comma_delimited = input_type == "comma-delimited numbers"
+    if mode == "Semantic":
+        input_type = "text"
+        is_comma_delimited = False
+    else:
+        input_type_default = "comma_delimited"
+        input_type = st.radio(
+            "Input type",
+            options=["text", "comma-delimited numbers"],
+            index=0 if input_type_default == "text" else 1,
+            horizontal=True,
+            key=f"input_type_{mode}",
+            help="Text: natural language. Comma-delimited numbers: time-series style. Delimiters are skipped for attribution.",
+        )
+        is_comma_delimited = input_type == "comma-delimited numbers"
 
     if is_comma_delimited:
         default_text = (
@@ -469,13 +473,15 @@ def main():
             "French: Cet article porte sur l'attribution causale, que nous appelons lentille jacobienne. English: This is a paper on causal attribution, and we call it Jacobian"
         )
 
+    text_placeholder = "Input text" if mode == "Semantic" else "Input text or comma-delimited numbers"
+    text_help = "Natural language input." if mode == "Semantic" else "Text or comma-separated numbers. Delimiters are skipped for comma-delimited."
     text_input = st.text_area(
         "Input text",
         value=default_text,
         height=120,
         key=f"text_input_{mode}_{input_type}",
-        placeholder="Input text or comma-delimited numbers",
-        help="Text or comma-separated numbers. Delimiters are skipped for comma-delimited.",
+        placeholder=text_placeholder,
+        help=text_help,
     )
 
     target_str = None