Update func.py

func.py

@@ -1,4 +1,3 @@
-----------
 """
 * **Single** `analyze_sentiment` implementation – no more duplicates.
 * Returns **label string by default**, optional probability via `return_prob`.
@@ -73,9 +72,9 @@ def analyze_sentiment(
     text : str
         Input sentence (e.g. news headline).
     pipe : transformers.Pipeline, optional
-        Custom sentiment pipeline; defaults to module‑level singleton.
+        Custom sentiment pipeline; defaults to module-level singleton.
     threshold : float, default 0.50
-        Positive‑probability cut‑off.
+        Positive-probability cut-off.
     return_prob : bool, default False
         If *True*, returns ``(label, positive_probability)`` tuple;
         otherwise returns just the label string.
@@ -103,7 +102,7 @@ def analyze_sentiment(
 
 
 # ---------------------------------------------------------------------------
-# Web‑scraping helper (Finviz)
+# Web-scraping helper (Finviz)
 # ---------------------------------------------------------------------------
 
 def fetch_news(ticker: str, max_items: int = 30) -> List[dict]:
@@ -146,13 +145,13 @@ def fetch_news(ticker: str, max_items: int = 30) -> List[dict]:
 
 
 # ---------------------------------------------------------------------------
-# Named‑entity extraction helper
+# Named-entity extraction helper
 # ---------------------------------------------------------------------------
 
 def extract_org_entities(text: str, pipe=None, max_entities: int = 5) -> List[str]:
-    """Extract *ORG* tokens (upper‑cased) from *text*.
+    """Extract *ORG* tokens (upper-cased) from *text*.
 
-    Returns at most *max_entities* unique ticker‑like strings suitable
+    Returns at most *max_entities* unique ticker-like strings suitable
     for Finviz / Yahoo queries.
     """
     try:
@@ -176,10 +175,10 @@ def extract_org_entities(text: str, pipe=None, max_entities: int = 5) -> List[st
 # ---------------------------------------------------------------------------
 
 def get_sentiment_pipeline():
-    """Return the module‑level sentiment pipeline singleton."""
+    """Return the module-level sentiment pipeline singleton."""
     return sentiment_pipeline
 
 
 def get_ner_pipeline():
-    """Return the module‑level NER pipeline singleton."""
+    """Return the module-level NER pipeline singleton."""
     return ner_pipeline