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fix: Improve TranscriptProcessor detection for transcript type

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This commit is contained in:
Mark Backman
2025-07-28 19:56:36 -04:00
parent c9dda5251c
commit 50242f4ad8
2 changed files with 7 additions and 2 deletions
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3
CHANGELOG.md
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@@ -74,6 +74,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
### Fixed ### Fixed
- Fixed an issue in the `TranscriptProcessor` where newline characters could
cause the transcript output to be corrupted (e.g. missing all spaces).
- Fixed an issue in `AudioBufferProcessor` when using `SmallWebRTCTransport` where, if - Fixed an issue in `AudioBufferProcessor` when using `SmallWebRTCTransport` where, if
the microphone was muted, track timing was not respected. the microphone was muted, track timing was not respected.

6
src/pipecat/processors/transcript_processor.py
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@@ -140,11 +140,13 @@ class AssistantTranscriptProcessor(BaseTranscriptProcessor):
Result: "Hello there how are you" Result: "Hello there how are you"
""" """
if self._current_text_parts and self._aggregation_start_time: if self._current_text_parts and self._aggregation_start_time:
# Check specifically for space characters, previously isspace() was used
# but that includes all whitespace characters (e.g. \n), not just spaces.
has_leading_spaces = any( has_leading_spaces = any(
part and part[0].isspace() for part in self._current_text_parts[1:] part and part[0] == " " for part in self._current_text_parts[1:]
) )
has_trailing_spaces = any( has_trailing_spaces = any(
part and part[-1].isspace() for part in self._current_text_parts[:-1] part and part[-1] == " " for part in self._current_text_parts[:-1]
) )
# If there are embedded spaces in the fragments, use direct concatenation # If there are embedded spaces in the fragments, use direct concatenation