server/rtc: fix topic output

server/reflector/llm/base.py

@@ -55,9 +55,13 @@ class LLM:
 
         regex = r"```(json|javascript|)?(.*)```"
         matches = re.findall(regex, result.strip(), re.MULTILINE | re.DOTALL)
-        if not matches:
+        if matches:
-            return result
-
-        # we have a match, try to parse it
             result = matches[0][1]
+
+        else:
+            # maybe the prompt has been started with ```json
+            # so if text ends with ```, just remove it and use it as json
+            if result.endswith("```"):
+                result = result[:-3]
+
         return json.loads(result.strip())

server/reflector/processors/transcript_topic_detector.py

@@ -21,9 +21,10 @@ class TranscriptTopicDetectorProcessor(Processor):
         {input_text}
 
         ### Assistant:
+
     """
 
-    def __init__(self, min_transcript_length=25, **kwargs):
+    def __init__(self, min_transcript_length=100, **kwargs):
         super().__init__(**kwargs)
         self.transcript = None
         self.min_transcript_length = min_transcript_length
@@ -43,6 +44,12 @@ class TranscriptTopicDetectorProcessor(Processor):
             return
         prompt = self.PROMPT.format(input_text=self.transcript.text)
         result = await self.llm.generate(prompt=prompt)
-        summary = TitleSummary(title=result["title"], summary=result["summary"])
+        summary = TitleSummary(
+            title=result["title"],
+            summary=result["summary"],
+            timestamp=self.transcript.timestamp,
+            duration=self.transcript.duration,
+            transcript=self.transcript,
+        )
         self.transcript = None
         await self.emit(summary)

server/reflector/processors/types.py

@@ -21,12 +21,6 @@ class Word:
     end: float
 
 
-@dataclass
-class TitleSummary:
-    title: str
-    summary: str
-
-
 @dataclass
 class Transcript:
     text: str = ""
@@ -63,3 +57,12 @@ class Transcript:
             Word(text=word.text, start=word.start, end=word.end) for word in self.words
         ]
         return Transcript(text=self.text, words=words)
+
+
+@dataclass
+class TitleSummary:
+    title: str
+    summary: str
+    timestamp: float
+    duration: float
+    transcript: Transcript

server/reflector/views/rtc_offer.py

@@ -1,6 +1,11 @@
 from fastapi import Request, APIRouter
 from pydantic import BaseModel
-from reflector.models import TranscriptionContext, TranscriptionOutput
+from reflector.models import (
+    TranscriptionContext,
+    TranscriptionOutput,
+    TitleSummaryOutput,
+    IncrementalResult,
+)
 from reflector.logger import logger
 from aiortc import RTCPeerConnection, RTCSessionDescription, MediaStreamTrack
 from json import loads, dumps
@@ -67,6 +72,31 @@ async def rtc_offer(params: RtcOffer, request: Request):
 
     async def on_summary(summary: TitleSummary):
         ctx.logger.info("Summary", summary=summary)
+        # XXX doesnt work as expected, IncrementalResult is not serializable
+        #     and previous implementation assume output of oobagooda
+        # result = TitleSummaryOutput(
+        #     [
+        #         IncrementalResult(
+        #             title=summary.title,
+        #             desc=summary.summary,
+        #             transcript=summary.transcript.text,
+        #             timestamp=summary.timestamp,
+        #         )
+        #     ]
+        # )
+        result = {
+            "cmd": "UPDATE_TOPICS",
+            "topics": [
+                {
+                    "title": summary.title,
+                    "timestamp": summary.timestamp,
+                    "transcript": summary.transcript.text,
+                    "desc": summary.summary,
+                }
+            ],
+        }
+
+        ctx.data_channel.send(dumps(result))
 
     # create a context for the whole rtc transaction
     # add a customised logger to the context