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the slicer.py file. The audio used can be a .mp3 or a .wav file + AUDIO_LOCATION = "/workspaces/HistoryAIToolkit/interviewkit/" + AUDIO_FILENAME = "sampled-2-Martine+Barrat_FINAL.mp3" + + result = MODEL.transcribe((AUDIO_LOCATION + AUDIO_FILENAME), fp16=False) + + # Save as a TXT file without any line breaks, name of the file could perhaps be changed with the slicer.py name of audio file + with open((AUDIO_FILENAME + ".txt"), "w", encoding="utf-8") as txt: + txt.write(result["text"]) + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/sampled-2-Martine+Barrat_FINAL.mp3.txt b/sampled-2-Martine+Barrat_FINAL.mp3.txt new file mode 100644 index 0000000..5f92c44 --- /dev/null +++ b/sampled-2-Martine+Barrat_FINAL.mp3.txt @@ -0,0 +1 @@ + My name is Sylvie Camdée. Today is February 6, 2015, and I will have a conversation with Martin Barra at her place in Chelsea. Martin, good evening. We know each other, we started a conversation, but could you please tell us about yourself to begin? It's very difficult to work and I start. When I arrived in New York or before I arrived in New York, I was a dancer, modern dance, and I was dancing in the festival in Edinburgh, an international festival of dance. And one beautiful black woman, so me dancing, and she said, girl, one day I'm going to send you a ticket. That was in 1966, and in June, 1968, 18, I opened an envelope and I found my ticket. That's how it started. So I arrived in New York after fighting crazy for the revolution in Paris. I was very, very active and very happy, thinking the world would change and France would change. And I love New York so much, I was staying at her place for a while. I love New York so much that I stayed there and I never left. But in the 17th New York was extraordinary. It was incredible. Music, poetry, nobody would think about money. We would think about doing, expressing ourselves, doing beautiful things. That was the time of all the great musicians like Annette Coleman and so many other ones. Oh my God. And for a long time I was a bar maid in a jazz house. \ No newline at end of file From 94ae4c62ee4287bed3945b316db58632f2d69e75 Mon Sep 17 00:00:00 2001 From: dtmaclaren <101112838+danielmaclaren@users.noreply.github.com> Date: Wed, 27 Sep 2023 14:18:40 +0100 Subject: [PATCH 2/7] Update interviewkit/transcript.py Co-authored-by: Audrey Roy Greenfeld --- interviewkit/transcript.py | 1 - 1 file changed, 1 deletion(-) diff --git a/interviewkit/transcript.py b/interviewkit/transcript.py index e2eca8e..bafef1a 100644 --- a/interviewkit/transcript.py +++ b/interviewkit/transcript.py @@ -12,7 +12,6 @@ class Transcript(BaseModel): content: str -# Sorry if this is wrong or isn't the best code, still new to this haha! def main() -> None: MODEL = whisper.load_model("base") From f1c7ef0df42dcfc53211821f0cabcb8497005c9b Mon Sep 17 00:00:00 2001 From: dtmaclaren <101112838+danielmaclaren@users.noreply.github.com> Date: Wed, 27 Sep 2023 14:18:48 +0100 Subject: [PATCH 3/7] Update interviewkit/transcript.py Co-authored-by: Audrey Roy Greenfeld --- interviewkit/transcript.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/interviewkit/transcript.py b/interviewkit/transcript.py index bafef1a..c51658a 100644 --- a/interviewkit/transcript.py +++ b/interviewkit/transcript.py @@ -14,7 +14,7 @@ class Transcript(BaseModel): def main() -> None: - MODEL = whisper.load_model("base") + model = whisper.load_model("base") # Change this file path to be the location of the audio file, or connect it to the slicer.py file. The audio used can be a .mp3 or a .wav file AUDIO_LOCATION = "/workspaces/HistoryAIToolkit/interviewkit/" From fec69919ada33d51ba5d866257e7c9367b8fcb8e Mon Sep 17 00:00:00 2001 From: dtmaclaren <101112838+danielmaclaren@users.noreply.github.com> Date: Wed, 27 Sep 2023 14:18:58 +0100 Subject: [PATCH 4/7] Update interviewkit/transcript.py Co-authored-by: Audrey Roy Greenfeld --- interviewkit/transcript.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/interviewkit/transcript.py b/interviewkit/transcript.py index c51658a..dd30b8d 100644 --- a/interviewkit/transcript.py +++ b/interviewkit/transcript.py @@ -20,7 +20,7 @@ def main() -> None: AUDIO_LOCATION = "/workspaces/HistoryAIToolkit/interviewkit/" AUDIO_FILENAME = "sampled-2-Martine+Barrat_FINAL.mp3" - result = MODEL.transcribe((AUDIO_LOCATION + AUDIO_FILENAME), fp16=False) + result = model.transcribe((AUDIO_LOCATION + AUDIO_FILENAME), fp16=False) # Save as a TXT file without any line breaks, name of the file could perhaps be changed with the slicer.py name of audio file with open((AUDIO_FILENAME + ".txt"), "w", encoding="utf-8") as txt: From 36b86e80db922788120b2ddb281c68966bba414f Mon Sep 17 00:00:00 2001 From: dtmaclaren <101112838+danielmaclaren@users.noreply.github.com> Date: Wed, 27 Sep 2023 13:43:58 +0000 Subject: [PATCH 5/7] removed unwanted files --- .../sampled-2-Martine+Barrat_FINAL.mp3 | Bin 1920774 -> 0 bytes sampled-2-Martine+Barrat_FINAL.mp3.txt | 1 - 2 files changed, 1 deletion(-) delete mode 100644 interviewkit/sampled-2-Martine+Barrat_FINAL.mp3 delete mode 100644 sampled-2-Martine+Barrat_FINAL.mp3.txt diff --git a/interviewkit/sampled-2-Martine+Barrat_FINAL.mp3 b/interviewkit/sampled-2-Martine+Barrat_FINAL.mp3 deleted file mode 100644 index 579c2367e7cbc389c4edb082879c6a99f186ce44..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1920774 zcmZsiWl$VXwDuQYeDTGd;K73?*y8RU+#$FH!s0B!U4y$@(BKx_gS&?ioCMpK{O|p6 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Co-Authored-By: ZoePosnette --- interviewkit/transcript.py | 1 - 1 file changed, 1 deletion(-) diff --git a/interviewkit/transcript.py b/interviewkit/transcript.py index dd30b8d..3c9d3da 100644 --- a/interviewkit/transcript.py +++ b/interviewkit/transcript.py @@ -11,7 +11,6 @@ class Transcript(BaseModel): content: str - def main() -> None: model = whisper.load_model("base") From 7aa6fb0659a5f7b04af514dd36a9d419d86fda7e Mon Sep 17 00:00:00 2001 From: dtmaclaren <101112838+danielmaclaren@users.noreply.github.com> Date: Fri, 29 Sep 2023 23:09:54 +0000 Subject: [PATCH 7/7] Updated the .txt file output to be more readable --- interviewkit/transcript.py | 20 +++++++++++++++++--- 1 file changed, 17 insertions(+), 3 deletions(-) diff --git a/interviewkit/transcript.py b/interviewkit/transcript.py index 3c9d3da..616b1cb 100644 --- a/interviewkit/transcript.py +++ b/interviewkit/transcript.py @@ -4,6 +4,7 @@ print("Please install Whisper: pip install git+https://github.com/openai/whisper.git") exit(1) +from whisper.utils import get_writer from pydantic import BaseModel class Transcript(BaseModel): @@ -21,9 +22,22 @@ def main() -> None: result = model.transcribe((AUDIO_LOCATION + AUDIO_FILENAME), fp16=False) - # Save as a TXT file without any line breaks, name of the file could perhaps be changed with the slicer.py name of audio file - with open((AUDIO_FILENAME + ".txt"), "w", encoding="utf-8") as txt: - txt.write(result["text"]) + transcript_output_location = "./" + + # Setting some initial options values for the .txt output file + txt_file_options = { + 'max_line_width': 50, # the maximum number of characters in a line before breaking the line + 'max_line_count': 1, # the maximum number of lines in a segment + 'highlight_words': False # underline each word as it is spoken in srt and vtt + } + + # Save as a .txt file without line breaks, name of the file could be changed with the slicer.py name of audio file + # with open((AUDIO_FILENAME + ".txt"), "w", encoding="utf-8") as txt: + # txt.write(result["text"]) + + # Save as a .txt file with hard breaks, added for readability to user + txt_writer = get_writer("txt", transcript_output_location) + txt_writer(result, AUDIO_FILENAME, txt_file_options) if __name__ == "__main__": main() \ No newline at end of file

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