#Set blob name and upload the exported fileīlob_to_upload = bucket.blob(destination_object_name)īlob_to_upload.upload_from_filename(/tmp/) #Set name of the object that will be uploaded to GCS #Convert downloaded object and save the export to a tmp file Your code might look like this: from google.cloud import storage You can achieve that using the GCS client library for Python. The download will be done to a temporary folder. You'll first need to "download" the desired object and then proceed with the conversion. Your assumption is correct, you cannot pass a GCS URL as an argument. In the end, I want to use AWS Lambda, so I want to convert files without going through local.
(3) AttributeError: '_io.BufferedRandom' object has no attribute 'export'
(2) FileNotFoundError: No such file or directory: ' ' (1) Shows the expected behavior, and the converted example.flac is saved in the current directory # (2)I CANNOT pass GCS URL as an argument Sound.export("example.flac", format="flac") # (1)I can convert an audio file at the local. I cannot convert mp3 files received by Flask to flac files and save them to GCS.Įven if you can't save to GCS, you can save the converted file to variables. I tried to use pydub, which is often used to convert audio files, but the relative path was the only argument that could be taken when selecting the pre-conversion file and where to save the post-conversion file. In the process, I want to convert the mp3 file selected by the user to a flac file, but I do not want to save it locally and throw it to speech-to-text or save it to GCS.Īny module can be used, but I want to save the audio file converted to GCS without going through the local. (Upload the mp3 file from Vue.js to Flask) I'm trying to create a Flask app that transcribes mp3 files using GCP's speech-to-text and saves the results to Cloud Storage (GCS).
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