Add files via upload

zerotranscriber.py

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+# -*- coding: utf-8 -*-
+"""ZeroTranscriber.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1fCkOTuFS4htPXQyQQRV4ZnX0I7ibuqf_
+"""
+
+pip install pydub
+
+pip install ffmpeg-python
+
+pip install git+https://github.com/openai/whisper.git
+
+# Old Code
+import whisper
+from pydub import AudioSegment
+import os
+
+def convert_to_wav(audio_file):
+    # Convert audio file to WAV format
+    sound = AudioSegment.from_file(audio_file)
+    wav_file = os.path.splitext(audio_file)[0] + ".wav"
+    sound.export(wav_file, format="wav")
+    return wav_file
+
+def transcribe_audio_to_english(audio_file):
+    try:
+        model = whisper.load_model("large-v3")
+        result = model.transcribe(audio_file, fp16=False, task='translate', verbose=True)
+        return result["text"]
+    except Exception as e:
+        print(f"Error transcribing {audio_file}: {str(e)}")
+        return None
+
+if __name__ == "__main__":
+    audio_file = input("Enter the path of the audio file: ")
+
+    if os.path.exists(audio_file):
+        if audio_file.lower().endswith(('.mp3', '.wav', '.ogg')):
+            if audio_file.lower().endswith('.mp3'):
+                audio_file = convert_to_wav(audio_file)
+            transcription = transcribe_audio_to_english(audio_file)
+            if transcription:
+                print(f"Transcription for {audio_file}: {transcription}")
+            else:
+                print(f"Failed to transcribe {audio_file}.")
+            if audio_file.lower().endswith('.wav'):
+                os.remove(audio_file)  # Remove temporary WAV file
+        else:
+            print(f"Unsupported audio format: {audio_file}")
+    else:
+        print("File not found. Please provide a valid file path.")
+