fix: make code detection more forgiving for technical text

Removed ambiguous keywords (var, public, private) that match common
words in technical discussions and transcripts. Increased threshold
from 3 to 5 keyword hits and tightened combination logic to require
both indented code AND structural tokens, not just one.

This allows technical content, podcasts, and documentation to be
summarized while still catching actual code files.

Author: prateekjain24

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "clipdrop"
-version = "1.6.6"
+version = "1.6.7"
 description = "Save clipboard content (text and images) to files with smart format detection"
 readme = "README.md"
 authors = [

src/clipdrop/__init__.py

@@ -1,3 +1,3 @@
 """ClipDrop - Save clipboard content (text and images) to files with smart format detection."""
 
-__version__ = "1.6.0"
+__version__ = "1.6.7"

src/clipdrop/detect.py

@@ -29,6 +29,7 @@ def is_summarizable_content(content: str, detected_format: str) -> tuple[bool, s
         return False, SINGLE_PASS_LIMIT_REASON
 
     # Heuristic filter to avoid passing obvious code snippets.
+    # Use strong indicators only - be forgiving to allow technical text.
     lowered = content.lower()
     code_keywords = (
         "def ",
@@ -38,9 +39,6 @@ def is_summarizable_content(content: str, detected_format: str) -> tuple[bool, s
         "#!/",
         "import ",
         "const ",
-        " var ",
-        "public ",
-        "private ",
     )
     code_hits = sum(lowered.count(keyword) for keyword in code_keywords)
     fenced_code = "```" in content or "</code>" in lowered
@@ -50,8 +48,8 @@ def is_summarizable_content(content: str, detected_format: str) -> tuple[bool, s
     )
     structural_tokens = any(token in content for token in ("{", "};", "=>", "#include"))
 
-    if fenced_code or code_hits >= 3 or (
-        code_hits >= 2 and (indented_code or structural_tokens)
+    if fenced_code or code_hits >= 5 or (
+        code_hits >= 3 and indented_code and structural_tokens
     ):
         return False, "Content appears to be code"