Add TranslationFrame and use in GladiaSTTService; add 13c-gladia-translation.py

src/pipecat/frames/frames.py

@@ -256,6 +256,22 @@ class InterimTranscriptionFrame(TextFrame):
         return f"{self.name}(user: {self.user_id}, text: [{self.text}], language: {self.language}, timestamp: {self.timestamp})"
 
 
+@dataclass
+class TranslationFrame(TextFrame):
+    """A text frame with translated transcription data.
+
+    Will be placed in the transport's receive queue when a participant speaks.
+
+    """
+
+    user_id: str
+    timestamp: str
+    language: Optional[Language] = None
+
+    def __str__(self):
+        return f"{self.name}(user: {self.user_id}, text: [{self.text}], language: {self.language}, timestamp: {self.timestamp})"
+
+
 @dataclass
 class OpenAILLMContextAssistantTimestampFrame(DataFrame):
     """Timestamp information for assistant message in LLM context."""

src/pipecat/services/gladia/stt.py

@@ -20,6 +20,7 @@ from pipecat.frames.frames import (
     InterimTranscriptionFrame,
     StartFrame,
     TranscriptionFrame,
+    TranslationFrame,
 )
 from pipecat.services.gladia.config import GladiaInputParams
 from pipecat.services.stt_service import STTService
@@ -405,7 +406,7 @@ class GladiaSTTService(STTService):
                     translation = translated_utterance["text"]
                     if translated_language != original_language and confidence >= self._confidence:
                         await self.push_frame(
-                            TranscriptionFrame(
+                            TranslationFrame(
                                 translation, "", time_now_iso8601(), translated_language
                             )
                         )