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| .DS_Store | |||
| services.py | |||
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we need a .gitignore
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| import requests | |||
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remove the *.pyc file above.
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| return "UNKNOWN ERROR" | ||
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| # return response.json()["transcription_data"]["transcription"] |
| if API_KEY: | ||
| token="Token {0}".format(API_KEY) | ||
| self.HEADERS = {'authorization': token} | ||
| # print("Auth with "+API_KEY+"\nMake sure this matches your API Key generated in the dashboard settings") |
| HEADERS:dict = {} | ||
| ## add the api key to sys path envs | ||
| def __init__(self,API_KEY: str = None): | ||
| self.API_KEY=None |
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this variable is not required
| # print("Auth with environment variable SLASHML_API_KEY") | ||
| else: | ||
| self.HEADERS=None | ||
| print("No Auth, there are certain limites to the usage") |
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point them to the relevant webpage where they can get the API token
| def upload_audio(self, file_location:str,header=None): | ||
| headers = self.HEADERS | ||
| files=[ | ||
| ('audio',('test_audio.mp3',open(file_location,'rb'),'audio/mpeg')) |
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improve the formatting
| files=[ | ||
| ('audio',('test_audio.mp3',open(file_location,'rb'),'audio/mpeg')) | ||
| ] | ||
| response = requests.post(self.SLASHML_UPLOAD_URL, |
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what if the response is an error.
| ] | ||
| response = requests.post(self.SLASHML_UPLOAD_URL, | ||
| headers=headers,files=files) | ||
| return response.json()["upload_url"] |
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what if the json() does not contain upload_url.
| transcript_request = {'audio_url': upload_url} | ||
| headers = self.HEADERS | ||
| payload = { | ||
| "uploaded_audio_url": upload_url, |
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improve formatting.
| "service_provider": service_provider | ||
| } | ||
| response = requests.post(self.SLASHML_TRANSCRIPT_URL, headers=headers, data=payload) | ||
| return response.json()["id"] |
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same comment as upload function, what if the id is not in json.
| response = requests.get(self.SLASHML_TRANSCRIPT_STATUS_URL(job_id) , headers=headers, data=payload) | ||
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| # Check the status code of the response | ||
| if response.status_code == 200: |
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so we need a uniform pattern for how to deal with 400s, 500s. Either the same should be done for the other endpoints as well, or they should not be done for the other endpoints.
| # return response.json()["transcription_data"]["transcription"] | ||
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| #### chgeck the code of the reponse, ifit is not 200, print back the error. No newline at end of file |
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| import speechtotext | |||
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remove this file altogether.
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| import speechtotext | |||
| import os | |||
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either convert this file to proper test_cases, or remove this file altogether. If the purpose is to show how to use the API, move this file to a samples folder and create a sample application in there, along with the relevant file.
| # Initialize SlashML | ||
| speect_to_text = speechtotext.SpeechToText() | ||
| # optional local file to upload, if not an accessible url | ||
| file_location="/Users/JJneid/Desktop/SlashMl/s2t_experiments/api_tests/2test_audio.mp3" |
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this location is specific to your computer, the file will not work on someone else's computer.
| # SLASHML Python client | ||
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| to be updated to guide users | ||
| This is a Python client for SLASHML. It lets you run transcription jobs from your Python code or Jupyter notebook. Do a transcription job with three lines of code |
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| This is a Python client for SLASHML. It lets you run transcription jobs from your Python code or Jupyter notebook. Do a transcription job with three lines of code | |
| This is a Python client for [SlashML](https://slashml.com). It lets you call machine learning APIs from your Python code or Jupyter notebook. | |
| Following is an example of how to do Transcription with 3 lines of code. |
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| speect_to_text = speechtotext.SpeechToText() | ||
| transcribe_id= speect_to_text.transcribe(audio_url,service_provider="aws") | ||
| status=speect_to_text.status(transcribe_id,service_provider=service_provider) |
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wait for status to be COMPLETED
| ``` | ||
| or including it in your code as follows: | ||
| ``` | ||
| import speechtotext |
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I think this code is outdated
2 participants
fixes #7 , #8 , #11 , #10