fix streaming.py

src/transcription/streaming_transcriber.py

@@ -67,33 +67,6 @@ class StreamingTranscriber:
             condition_on_previous_text=True,
             best_of=3                  # Checks 3 variations to find the best one
         )
-
-        # segments, _ = self.model.transcribe(
-        #     new_state, 
-        #     beam_size=self.beam_size,            # Increased for better word choice
-        #     language=language,
-        #     vad_filter=True,
-        #     # Add these two for better flow:
-        #     best_of=5,              # Samples multiple times to find the best version
-        #     patience=1.0,           # Allows the model to wait for a better conclusion
-        #     condition_on_previous_text=True # Set to True to help with context, but keep buffers small
-        # )
-        
-        # segments, _ = self.model.transcribe(
-        #     new_state, 
-        #     beam_size=self.beam_size, 
-        #     language=language,
-        #     vad_filter=True,
-        #     # Anti-repetition settings:
-        #     # compression_ratio_threshold=2.4, 
-        #     # no_speech_threshold=0.6,
-        #     # vad_parameters=dict(
-        #     #     threshold=0.5,              # 0.5 is standard; increase to 0.6 if it still talks during silence
-        #     #     min_speech_duration_ms=300, # Ignore sounds shorter than 0.3s (clicks/breath)
-        #     #     min_silence_duration_ms=1000 # Wait for 1 second of silence before cutting off
-        #     # ),
-        #     condition_on_previous_text=False        
-        # )
         current_chunk_text = "".join([s.text for s in segments]).strip()
         
         if current_chunk_text: