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				@ -493,18 +493,17 @@ def transcription(
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                if (
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                    os.path.getsize(file_path) > MAX_FILE_SIZE
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                ):  # Still larger than 25MB after compression
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                    chunks = split_on_silence(
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                        audio, min_silence_len=1000, silence_thresh=-40
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                    log.debug(
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                        f"Compressed file size is still larger than {MAX_FILE_SIZE_MB}MB: {os.path.getsize(file_path)}"
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                    )
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                    texts = []
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                    for i, chunk in enumerate(chunks):
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                        chunk_file_path = f"{file_dir}/{id}_chunk{i}.{ext}"
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                        chunk.export(chunk_file_path, format=ext)
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                        text = transcribe(chunk_file_path)
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                        texts.append(text)
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                    data = {"text": " ".join(texts)}
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                else:
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                    data = transcribe(file_path)
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                    raise HTTPException(
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                        status_code=status.HTTP_400_BAD_REQUEST,
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                        detail=ERROR_MESSAGES.FILE_TOO_LARGE(
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                            size=f"{MAX_FILE_SIZE_MB}MB"
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                        ),
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                    )
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                data = transcribe(file_path)
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            else:
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                data = transcribe(file_path)
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@ -90,6 +90,10 @@ class ERROR_MESSAGES(str, Enum):
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        "The Ollama API is disabled. Please enable it to use this feature."
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    )
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    FILE_TOO_LARGE = (
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        lambda size="": f"Oops! The file you're trying to upload is too large. Please upload a file that is less than {size}."
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    )
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class TASKS(str, Enum):
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    def __str__(self) -> str:
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