add logic to process english

api_model.py

@@ -1,3 +1,4 @@
+from typing import Any, Callable, Literal
 from pydantic import BaseModel, Field
 from uuid import UUID
 

config.py

@@ -2,7 +2,7 @@ import pathlib
 import re
 import logging
 
-DEBUG = False
+DEBUG = True
 logging.basicConfig(
     level=logging.DEBUG if DEBUG else logging.INFO,
     format="%(asctime)s - %(levelname)s - %(message)s",
@@ -36,7 +36,7 @@ WHISPER_PROMPT_ZH = "以下是简体中文普通话的句子。"
 MAX_LENTH_ZH = 4
 
 WHISPER_PROMPT_EN = ""# "The following is an English sentence."
-MAX_LENGTH_EN= 3
+MAX_LENGTH_EN= 1
 
 # WHISPER_MODEL = 'medium-q5_0'
 WHISPER_MODEL = 'large-v3-turbo-q5_0'

pyproject.toml

@@ -8,6 +8,7 @@ dependencies = [
     "av>=14.2.0",
     "fastapi>=0.115.12",
     "librosa>=0.11.0",
+    "nltk>=3.9.1",
     "numpy>=2.1.3",
     "onnxruntime>=1.21.0",
     "pyaudio>=0.2.14",
@@ -18,7 +19,9 @@ dependencies = [
     "soundfile>=0.13.1",
     "torch>=2.6.0",
     "tqdm>=4.67.1",
+    "transformers>=4.51.3",
     "uvicorn>=0.34.0",
     "websocket-client>=1.8.0",
     "websockets>=15.0.1",
+    "wordninja>=2.0.0",
 ]

requirements.txt

@@ -15,7 +15,9 @@ cffi==1.17.1
 charset-normalizer==3.4.1
     # via requests
 click==8.1.8
-    # via uvicorn
+    # via
+    #   nltk
+    #   uvicorn
 coloredlogs==15.0.1
     # via onnxruntime
 decorator==5.2.1
@@ -23,13 +25,22 @@ decorator==5.2.1
 fastapi==0.115.12
     # via trans (pyproject.toml)
 filelock==3.18.0
-    # via torch
+    # via
+    #   huggingface-hub
+    #   torch
+    #   transformers
 flatbuffers==25.2.10
     # via onnxruntime
 fsspec==2025.3.2
-    # via torch
+    # via
+    #   huggingface-hub
+    #   torch
 h11==0.14.0
     # via uvicorn
+huggingface-hub==0.30.2
+    # via
+    #   tokenizers
+    #   transformers
 humanfriendly==10.0
     # via coloredlogs
 idna==3.10
@@ -41,6 +52,7 @@ jinja2==3.1.6
 joblib==1.4.2
     # via
     #   librosa
+    #   nltk
     #   scikit-learn
 lazy-loader==0.4
     # via librosa
@@ -56,6 +68,8 @@ msgpack==1.1.0
     # via librosa
 networkx==3.4.2
     # via torch
+nltk==3.9.1
+    # via trans (pyproject.toml)
 numba==0.61.0
     # via librosa
 numpy==2.1.3
@@ -68,15 +82,18 @@ numpy==2.1.3
     #   scipy
     #   soundfile
     #   soxr
+    #   transformers
 onnxruntime==1.21.0
     # via
     #   trans (pyproject.toml)
     #   silero-vad
 packaging==24.2
     # via
+    #   huggingface-hub
     #   lazy-loader
     #   onnxruntime
     #   pooch
+    #   transformers
 platformdirs==4.3.7
     # via pooch
 pooch==1.8.2
@@ -95,8 +112,21 @@ pydantic-core==2.33.1
     # via pydantic
 pydub==0.25.1
     # via trans (pyproject.toml)
+pyyaml==6.0.2
+    # via
+    #   huggingface-hub
+    #   transformers
+regex==2024.11.6
+    # via
+    #   nltk
+    #   transformers
 requests==2.32.3
-    # via pooch
+    # via
+    #   huggingface-hub
+    #   pooch
+    #   transformers
+safetensors==0.5.3
+    # via transformers
 scikit-learn==1.6.1
     # via librosa
 scipy==1.15.2
@@ -123,6 +153,8 @@ sympy==1.13.1
     #   torch
 threadpoolctl==3.6.0
     # via scikit-learn
+tokenizers==0.21.1
+    # via transformers
 torch==2.6.0
     # via
     #   trans (pyproject.toml)
@@ -131,11 +163,18 @@ torch==2.6.0
 torchaudio==2.6.0
     # via silero-vad
 tqdm==4.67.1
+    # via
+    #   trans (pyproject.toml)
+    #   huggingface-hub
+    #   nltk
+    #   transformers
+transformers==4.51.3
     # via trans (pyproject.toml)
 typing-extensions==4.13.1
     # via
     #   anyio
     #   fastapi
+    #   huggingface-hub
     #   librosa
     #   pydantic
     #   pydantic-core
@@ -151,3 +190,5 @@ websocket-client==1.8.0
     # via trans (pyproject.toml)
 websockets==15.0.1
     # via trans (pyproject.toml)
+wordninja==2.0.0
+    # via trans (pyproject.toml)

transcribe/pipelines/pipe_whisper.py

@@ -3,7 +3,6 @@ import unicodedata
 from .base import MetaItem, BasePipe, Segment
 from ..helpers.whisper import WhisperCPP
 
-
 class WhisperPipe(BasePipe):
     whisper = None
 

transcribe/strategy.py

@@ -1,4 +1,4 @@
-import re
+
 import collections
 import logging
 from difflib import SequenceMatcher
@@ -6,9 +6,10 @@ from itertools import chain
 from dataclasses import dataclass, field
 from typing import List, Tuple, Optional, Deque, Any, Iterator,Literal
 from config import SENTENCE_END_MARKERS, ALL_MARKERS,SENTENCE_END_PATTERN,REGEX_MARKERS, PAUSEE_END_PATTERN,SAMPLE_RATE
-import numpy as np
 from enum import Enum
-from itertools import chain
+import wordninja
+
+import re
 logger = logging.getLogger("TranscriptionStrategy")
 
 
@@ -149,11 +150,12 @@ class TranscriptBuffer:
 
     """
 
-    def __init__(self, separator):
+    def __init__(self, source_lang:str, separator:str):
         self._segments: List[str] = collections.deque(maxlen=2)     # 确认的完整段落
         self._sentences: List[str] = []    # 当前段落中的短句
         self._buffer: str = ""             # 当前缓冲中的文本
         self._current_seg_id: int = 0
+        self.source_language = source_lang
         self._separator = separator
 
     def get_seg_id(self) -> int:
@@ -183,9 +185,47 @@ class TranscriptBuffer:
             self._segments.append("".join(self._sentences))
             self._sentences.clear()
 
+    def rebuild(self, text):
+        output = self.split_and_join(
+                    text.replace(
+                        self._separator, ""))
+        if output != text:
+            logger.debug(f"Source string: {text.replace(self._separator, '')}")
+            logger.debug(f"Output string: {output}")
+        return output
+    
+    @staticmethod
+    def split_and_join(text):
+        tokens = []
+        word_buf = ''
+
+        for char in text:
+            if char in ALL_MARKERS:
+                if word_buf:
+                    tokens.extend(wordninja.split(word_buf))
+                    word_buf = ''
+                tokens.append(char)
+            else:
+                word_buf += char
+        if word_buf:
+            tokens.extend(wordninja.split(word_buf))
+
+        output = ''
+        for i, token in enumerate(tokens):
+            if i == 0:
+                output += token
+            elif token in ALL_MARKERS:
+                output += (token + " ")
+            else:
+                output += ' ' + token
+        return output
+
 
     def update_and_commit(self, stable_string: str, remaining_string:str, is_end_sentence=False):
-        
+        if self.source_language == "en":
+            stable_string = self.rebuild(stable_string)
+            remaining_string = self.rebuild(remaining_string)
+
         logger.debug(f"{self.__dict__}")
         if is_end_sentence:
             self.update_pending_text(stable_string)
@@ -222,12 +262,12 @@ class TranscriptBuffer:
     @property
     def current_not_commit_text(self) -> str:
         return self.un_commit_paragraph + self.pending_text
-
+    
 
 
 class TranscriptStabilityAnalyzer:
-    def __init__(self, separator) -> None:
-        self._transcript_buffer = TranscriptBuffer(separator=separator)
+    def __init__(self, source_lang, separator) -> None:
+        self._transcript_buffer = TranscriptBuffer(source_lang=source_lang,separator=separator)
         self._transcript_history = TranscriptHistory()
         self._separator = separator
         logger.debug(f"Current separator: {self._separator}")
@@ -235,6 +275,7 @@ class TranscriptStabilityAnalyzer:
     def merge_chunks(self, chunks: List[TranscriptChunk])->str:
         return "".join(r.join() for r in chunks)
     
+    
 
     def analysis(self, current: TranscriptChunk, buffer_duration: float) -> Iterator[TranscriptResult]:
         current = TranscriptChunk(items=current, separator=self._separator)

transcribe/translatepipes.py

@@ -2,6 +2,7 @@ from transcribe.pipelines import WhisperPipe, TranslatePipe, MetaItem, VadPipe,
 import multiprocessing  as mp
 import config
 
+
 class TranslatePipes:
     def __init__(self) -> None:
         

transcribe/whisper_llm_serve.py

@@ -7,7 +7,7 @@ from logging import getLogger
 from typing import List, Optional, Iterator, Tuple, Any
 
 import numpy as np
-
+# import wordninja
 from api_model import TransResult, Message
 from .server import ServeClientBase
 from .utils import log_block, save_to_wave
@@ -75,7 +75,7 @@ class WhisperTranscriptionService(ServeClientBase):
         self.source_language = source_lang
         self.target_language = target_lang
         self.text_separator = self._get_text_separator(source_lang)
-        self._transcrible_analysis = TranscriptStabilityAnalyzer(self.text_separator)
+        self._transcrible_analysis = TranscriptStabilityAnalyzer(self.source_language, self.text_separator)
 
     def add_audio_frames(self, frame_np: np.ndarray) -> None:
         """添加音频帧到处理队列"""
@@ -142,9 +142,8 @@ class WhisperTranscriptionService(ServeClientBase):
         result = self._translate_pipe.transcrible(audio_buffer.tobytes(), self.source_language)
         segments = result.segments
         logger.debug(f"📝 Transcrible: {self.text_separator.join(seg.text for seg in segments)} ")
-        
-        log_block("Whisper transcription output", f"{self.text_separator.join(seg.text for seg in segments)}", "")
-        log_block("Whisper transcription time", f"{(time.perf_counter() - start_time):.3f}", "s")
+        log_block("📝 Transcrible output", f"{self.text_separator.join(seg.text for seg in segments)}", "")
+        log_block("📝 Transcrible time", f"{(time.perf_counter() - start_time):.3f}", "s")
 
         return [
             TranscriptToken(text=s.text, t0=s.t0, t1=s.t1)
@@ -156,14 +155,14 @@ class WhisperTranscriptionService(ServeClientBase):
         if not text.strip():
             return ""
 
-        log_block("Translation input", f"{text}")
+        log_block("🐧 Translation input ", f"{text}")
         start_time = time.perf_counter()
 
         result = self._translate_pipe.translate(text, self.source_language, self.target_language)
         translated_text = result.translate_content
 
-        log_block("Translation time ", f"{(time.perf_counter() - start_time):.3f}", "s")
-        log_block("Translation output", f"{translated_text}")
+        log_block("🐧 Translation time ", f"{(time.perf_counter() - start_time):.3f}", "s")
+        log_block("🐧 Translation out ", f"{translated_text}")
 
         return translated_text
 
@@ -248,7 +247,7 @@ class WhisperTranscriptionService(ServeClientBase):
             )
             current_time = time.perf_counter()
             time_diff = current_time - start_time
-            log_block("🚦 Traffic timestamp diff: ", round(time_diff, 2), 's')
+            log_block("🚦 Traffic times diff", round(time_diff, 2), 's')
 
 
     def _send_result_to_client(self, result: TransResult) -> None:

uv.lock

@@ -299,6 +299,24 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/95/04/ff642e65ad6b90db43e668d70ffb6736436c7ce41fcc549f4e9472234127/h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761", size = 58259 },
 ]
 
+[[package]]
+name = "huggingface-hub"
+version = "0.30.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "filelock" },
+    { name = "fsspec" },
+    { name = "packaging" },
+    { name = "pyyaml" },
+    { name = "requests" },
+    { name = "tqdm" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/df/22/8eb91736b1dcb83d879bd49050a09df29a57cc5cd9f38e48a4b1c45ee890/huggingface_hub-0.30.2.tar.gz", hash = "sha256:9a7897c5b6fd9dad3168a794a8998d6378210f5b9688d0dfc180b1a228dc2466", size = 400868 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/93/27/1fb384a841e9661faad1c31cbfa62864f59632e876df5d795234da51c395/huggingface_hub-0.30.2-py3-none-any.whl", hash = "sha256:68ff05969927058cfa41df4f2155d4bb48f5f54f719dd0390103eefa9b191e28", size = 481433 },
+]
+
 [[package]]
 name = "humanfriendly"
 version = "10.0"
@@ -509,6 +527,21 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b9/54/dd730b32ea14ea797530a4479b2ed46a6fb250f682a9cfb997e968bf0261/networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f", size = 1723263 },
 ]
 
+[[package]]
+name = "nltk"
+version = "3.9.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "click" },
+    { name = "joblib" },
+    { name = "regex" },
+    { name = "tqdm" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/3c/87/db8be88ad32c2d042420b6fd9ffd4a149f9a0d7f0e86b3f543be2eeeedd2/nltk-3.9.1.tar.gz", hash = "sha256:87d127bd3de4bd89a4f81265e5fa59cb1b199b27440175370f7417d2bc7ae868", size = 2904691 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/4d/66/7d9e26593edda06e8cb531874633f7c2372279c3b0f46235539fe546df8b/nltk-3.9.1-py3-none-any.whl", hash = "sha256:4fa26829c5b00715afe3061398a8989dc643b92ce7dd93fb4585a70930d168a1", size = 1505442 },
+]
+
 [[package]]
 name = "numba"
 version = "0.61.0"
@@ -898,6 +931,94 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/5a/dc/491b7661614ab97483abf2056be1deee4dc2490ecbf7bff9ab5cdbac86e1/pyreadline3-3.5.4-py3-none-any.whl", hash = "sha256:eaf8e6cc3c49bcccf145fc6067ba8643d1df34d604a1ec0eccbf7a18e6d3fae6", size = 83178 },
 ]
 
+[[package]]
+name = "pyyaml"
+version = "6.0.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/54/ed/79a089b6be93607fa5cdaedf301d7dfb23af5f25c398d5ead2525b063e17/pyyaml-6.0.2.tar.gz", hash = "sha256:d584d9ec91ad65861cc08d42e834324ef890a082e591037abe114850ff7bbc3e", size = 130631 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/f8/aa/7af4e81f7acba21a4c6be026da38fd2b872ca46226673c89a758ebdc4fd2/PyYAML-6.0.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cc1c1159b3d456576af7a3e4d1ba7e6924cb39de8f67111c735f6fc832082774", size = 184612 },
+    { url = "https://files.pythonhosted.org/packages/8b/62/b9faa998fd185f65c1371643678e4d58254add437edb764a08c5a98fb986/PyYAML-6.0.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1e2120ef853f59c7419231f3bf4e7021f1b936f6ebd222406c3b60212205d2ee", size = 172040 },
+    { url = "https://files.pythonhosted.org/packages/ad/0c/c804f5f922a9a6563bab712d8dcc70251e8af811fce4524d57c2c0fd49a4/PyYAML-6.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d225db5a45f21e78dd9358e58a98702a0302f2659a3c6cd320564b75b86f47c", size = 736829 },
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