server: reformat whole project using black

server/reflector_dataclasses.py

@@ -17,6 +17,7 @@ class TitleSummaryInput:
     Data class for the input to generate title and summaries.
     The outcome will be used to send query to the LLM for processing.
     """
+
     input_text = str
     transcribed_time = float
     prompt = str
@@ -25,8 +26,7 @@ class TitleSummaryInput:
     def __init__(self, transcribed_time, input_text=""):
         self.input_text = input_text
         self.transcribed_time = transcribed_time
-        self.prompt = \
-            f"""
+        self.prompt = f"""
             ### Human:
             Create a JSON object as response.The JSON object must have 2 fields:
             i) title and ii) summary.For the title field,generate a short title
@@ -47,6 +47,7 @@ class IncrementalResult:
     Data class for the result of generating one title and summaries.
     Defines how a single "topic" looks like.
     """
+
     title = str
     description = str
     transcript = str
@@ -65,6 +66,7 @@ class TitleSummaryOutput:
     Data class for the result of all generated titles and summaries.
     The result will be sent back to the client
     """
+
     cmd = str
     topics = List[IncrementalResult]
 
@@ -77,10 +79,7 @@ class TitleSummaryOutput:
         Return the result dict for displaying the transcription
         :return:
         """
-        return {
-                "cmd": self.cmd,
-                "topics": self.topics
-        }
+        return {"cmd": self.cmd, "topics": self.topics}
 
 
 @dataclass
@@ -89,6 +88,7 @@ class ParseLLMResult:
     Data class to parse the result returned by the LLM while generating title
     and summaries. The result will be sent back to the client.
     """
+
     title = str
     description = str
     transcript = str
@@ -98,8 +98,7 @@ class ParseLLMResult:
         self.title = output["title"]
         self.transcript = param.input_text
         self.description = output.pop("summary")
-        self.timestamp = \
-            str(datetime.timedelta(seconds=round(param.transcribed_time)))
+        self.timestamp = str(datetime.timedelta(seconds=round(param.transcribed_time)))
 
     def get_result(self) -> dict:
         """
@@ -107,10 +106,10 @@ class ParseLLMResult:
         :return:
         """
         return {
-                "title": self.title,
-                "description": self.description,
-                "transcript": self.transcript,
-                "timestamp": self.timestamp
+            "title": self.title,
+            "description": self.description,
+            "transcript": self.transcript,
+            "timestamp": self.timestamp,
         }
 
 
@@ -120,6 +119,7 @@ class TranscriptionInput:
     Data class to define the input to the transcription function
     AudioFrames -> input
     """
+
     frames = List[av.audio.frame.AudioFrame]
 
     def __init__(self, frames):
@@ -132,6 +132,7 @@ class TranscriptionOutput:
     Dataclass to define the result of the transcription function.
     The result will be sent back to the client
     """
+
     cmd = str
     result_text = str
 
@@ -144,10 +145,7 @@ class TranscriptionOutput:
         Return the result dict for displaying the transcription
         :return:
         """
-        return {
-                "cmd": self.cmd,
-                "text": self.result_text
-        }
+        return {"cmd": self.cmd, "text": self.result_text}
 
 
 @dataclass
@@ -156,6 +154,7 @@ class FinalSummaryResult:
     Dataclass to define the result of the final summary function.
     The result will be sent back to the client.
     """
+
     cmd = str
     final_summary = str
     duration = str
@@ -171,9 +170,9 @@ class FinalSummaryResult:
         :return:
         """
         return {
-                "cmd": self.cmd,
-                "duration": self.duration,
-                "summary": self.final_summary
+            "cmd": self.cmd,
+            "duration": self.duration,
+            "summary": self.final_summary,
         }
 
 
@@ -182,9 +181,14 @@ class BlackListedMessages:
     Class to hold the blacklisted messages. These messages should be filtered
     out and not sent back to the client as part of the transcription.
     """
-    messages = [" Thank you.", " See you next time!",
-                " Thank you for watching!", " Bye!",
-                " And that's what I'm talking about."]
+
+    messages = [
+        " Thank you.",
+        " See you next time!",
+        " Thank you for watching!",
+        " Bye!",
+        " And that's what I'm talking about.",
+    ]
 
 
 @dataclass