fixed #32, fixed #35, use_enhanced in Google STT by default, as well as the best ('video') model

saying_things_stuff_4.mp3.txt

@@ -0,0 +1,202 @@
+alternatives {
+  transcript: "testing"
+  confidence: 0.9585370421409607
+  words {
+    start_time {
+      seconds: 4
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 5
+      nanos: 300000000
+    }
+    word: "testing"
+    confidence: 0.9585370421409607
+  }
+}
+channel_tag: 2
+language_code: "en-us"
+
+alternatives {
+  transcript: " This is everybody saying things."
+  confidence: 0.8421146273612976
+  words {
+    start_time {
+      seconds: 4
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 5
+      nanos: 300000000
+    }
+    word: "testing"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 200000000
+    }
+    end_time {
+      seconds: 6
+      nanos: 600000000
+    }
+    word: "This"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 600000000
+    }
+    end_time {
+      seconds: 6
+      nanos: 800000000
+    }
+    word: "is"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 800000000
+    }
+    end_time {
+      seconds: 7
+      nanos: 800000000
+    }
+    word: "everybody"
+    confidence: 0.5004213452339172
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 7
+      nanos: 800000000
+    }
+    end_time {
+      seconds: 8
+      nanos: 700000000
+    }
+    word: "saying"
+    confidence: 0.7137818932533264
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 8
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 9
+      nanos: 200000000
+    }
+    word: "things."
+    confidence: 0.9628734588623047
+    speaker_tag: 2
+  }
+}
+channel_tag: 1
+language_code: "en-us"
+
+alternatives {
+  transcript: " 2019"
+  confidence: 0.9188541173934937
+  words {
+    start_time {
+      seconds: 4
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 5
+      nanos: 300000000
+    }
+    word: "testing"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 200000000
+    }
+    end_time {
+      seconds: 6
+      nanos: 600000000
+    }
+    word: "This"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 600000000
+    }
+    end_time {
+      seconds: 6
+      nanos: 800000000
+    }
+    word: "is"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 800000000
+    }
+    end_time {
+      seconds: 7
+      nanos: 800000000
+    }
+    word: "everybody"
+    confidence: 0.5004213452339172
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 7
+      nanos: 800000000
+    }
+    end_time {
+      seconds: 8
+      nanos: 700000000
+    }
+    word: "saying"
+    confidence: 0.7137818932533264
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 8
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 9
+      nanos: 200000000
+    }
+    word: "things."
+    confidence: 0.9628734588623047
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 10
+      nanos: 300000000
+    }
+    end_time {
+      seconds: 11
+      nanos: 600000000
+    }
+    word: "2019"
+    confidence: 0.901819109916687
+    speaker_tag: 2
+  }
+}
+channel_tag: 1
+language_code: "en-us"
+

saying_things_stuff_4_copy.mp3.txt

@@ -0,0 +1,202 @@
+alternatives {
+  transcript: "testing"
+  confidence: 0.9585370421409607
+  words {
+    start_time {
+      seconds: 4
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 5
+      nanos: 300000000
+    }
+    word: "testing"
+    confidence: 0.9585370421409607
+  }
+}
+channel_tag: 2
+language_code: "en-us"
+
+alternatives {
+  transcript: " This is everybody saying things."
+  confidence: 0.8421170711517334
+  words {
+    start_time {
+      seconds: 4
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 5
+      nanos: 300000000
+    }
+    word: "testing"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 200000000
+    }
+    end_time {
+      seconds: 6
+      nanos: 600000000
+    }
+    word: "This"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 600000000
+    }
+    end_time {
+      seconds: 6
+      nanos: 800000000
+    }
+    word: "is"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 800000000
+    }
+    end_time {
+      seconds: 7
+      nanos: 800000000
+    }
+    word: "everybody"
+    confidence: 0.5004211068153381
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 7
+      nanos: 800000000
+    }
+    end_time {
+      seconds: 8
+      nanos: 700000000
+    }
+    word: "saying"
+    confidence: 0.7137818336486816
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 8
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 9
+      nanos: 200000000
+    }
+    word: "things."
+    confidence: 0.9628880620002747
+    speaker_tag: 2
+  }
+}
+channel_tag: 2
+language_code: "en-us"
+
+alternatives {
+  transcript: " 2019"
+  confidence: 0.9188556671142578
+  words {
+    start_time {
+      seconds: 4
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 5
+      nanos: 300000000
+    }
+    word: "testing"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 200000000
+    }
+    end_time {
+      seconds: 6
+      nanos: 600000000
+    }
+    word: "This"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 600000000
+    }
+    end_time {
+      seconds: 6
+      nanos: 800000000
+    }
+    word: "is"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 800000000
+    }
+    end_time {
+      seconds: 7
+      nanos: 800000000
+    }
+    word: "everybody"
+    confidence: 0.5004211068153381
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 7
+      nanos: 800000000
+    }
+    end_time {
+      seconds: 8
+      nanos: 700000000
+    }
+    word: "saying"
+    confidence: 0.7137818336486816
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 8
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 9
+      nanos: 200000000
+    }
+    word: "things."
+    confidence: 0.9628880620002747
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 10
+      nanos: 300000000
+    }
+    end_time {
+      seconds: 11
+      nanos: 600000000
+    }
+    word: "2019"
+    confidence: 0.901819109916687
+    speaker_tag: 2
+  }
+}
+channel_tag: 2
+language_code: "en-us"
+

saying_things_stuff_5.mp3.txt

@@ -0,0 +1,202 @@
+alternatives {
+  transcript: "testing"
+  confidence: 0.9585370421409607
+  words {
+    start_time {
+      seconds: 4
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 5
+      nanos: 300000000
+    }
+    word: "testing"
+    confidence: 0.9585370421409607
+  }
+}
+channel_tag: 2
+language_code: "en-us"
+
+alternatives {
+  transcript: " This is everybody saying things."
+  confidence: 0.8421146273612976
+  words {
+    start_time {
+      seconds: 4
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 5
+      nanos: 300000000
+    }
+    word: "testing"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 200000000
+    }
+    end_time {
+      seconds: 6
+      nanos: 600000000
+    }
+    word: "This"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 600000000
+    }
+    end_time {
+      seconds: 6
+      nanos: 800000000
+    }
+    word: "is"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 800000000
+    }
+    end_time {
+      seconds: 7
+      nanos: 800000000
+    }
+    word: "everybody"
+    confidence: 0.5004211068153381
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 7
+      nanos: 800000000
+    }
+    end_time {
+      seconds: 8
+      nanos: 700000000
+    }
+    word: "saying"
+    confidence: 0.713782012462616
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 8
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 9
+      nanos: 200000000
+    }
+    word: "things."
+    confidence: 0.9628734588623047
+    speaker_tag: 2
+  }
+}
+channel_tag: 2
+language_code: "en-us"
+
+alternatives {
+  transcript: " 2019"
+  confidence: 0.9188556671142578
+  words {
+    start_time {
+      seconds: 4
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 5
+      nanos: 300000000
+    }
+    word: "testing"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 200000000
+    }
+    end_time {
+      seconds: 6
+      nanos: 600000000
+    }
+    word: "This"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 600000000
+    }
+    end_time {
+      seconds: 6
+      nanos: 800000000
+    }
+    word: "is"
+    confidence: 0.9585370421409607
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 800000000
+    }
+    end_time {
+      seconds: 7
+      nanos: 800000000
+    }
+    word: "everybody"
+    confidence: 0.5004211068153381
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 7
+      nanos: 800000000
+    }
+    end_time {
+      seconds: 8
+      nanos: 700000000
+    }
+    word: "saying"
+    confidence: 0.713782012462616
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 8
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 9
+      nanos: 200000000
+    }
+    word: "things."
+    confidence: 0.9628734588623047
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 10
+      nanos: 300000000
+    }
+    end_time {
+      seconds: 11
+      nanos: 600000000
+    }
+    word: "2019"
+    confidence: 0.901819109916687
+    speaker_tag: 2
+  }
+}
+channel_tag: 2
+language_code: "en-us"
+

saying_things_stuff_6.mp3.txt

@@ -0,0 +1,233 @@
+alternatives {
+  transcript: "Testing, this is Zev, Ivory box saying things."
+  confidence: 0.800268292427063
+  words {
+    start_time {
+      seconds: 4
+    }
+    end_time {
+      seconds: 5
+      nanos: 500000000
+    }
+    word: "Testing,"
+    confidence: 0.8863372206687927
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 5
+      nanos: 500000000
+    }
+    end_time {
+      seconds: 6
+      nanos: 600000000
+    }
+    word: "this"
+    confidence: 0.8322268724441528
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 600000000
+    }
+    end_time {
+      seconds: 6
+      nanos: 900000000
+    }
+    word: "is"
+    confidence: 0.7659580111503601
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 900000000
+    }
+    end_time {
+      seconds: 7
+      nanos: 300000000
+    }
+    word: "Zev,"
+    confidence: 0.9128385782241821
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 7
+      nanos: 300000000
+    }
+    end_time {
+      seconds: 7
+      nanos: 700000000
+    }
+    word: "Ivory"
+    confidence: 0.7265068292617798
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 7
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 7
+      nanos: 900000000
+    }
+    word: "box"
+    confidence: 0.7768470644950867
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 7
+      nanos: 900000000
+    }
+    end_time {
+      seconds: 8
+      nanos: 700000000
+    }
+    word: "saying"
+    confidence: 0.8872998952865601
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 8
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 9
+      nanos: 400000000
+    }
+    word: "things."
+    confidence: 0.9128385782241821
+    speaker_tag: 2
+  }
+}
+channel_tag: 2
+language_code: "en-us"
+
+alternatives {
+  transcript: " 2019"
+  confidence: 0.7211146354675293
+  words {
+    start_time {
+      seconds: 4
+    }
+    end_time {
+      seconds: 5
+      nanos: 500000000
+    }
+    word: "Testing,"
+    confidence: 0.8863372206687927
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 5
+      nanos: 500000000
+    }
+    end_time {
+      seconds: 6
+      nanos: 600000000
+    }
+    word: "this"
+    confidence: 0.8322268724441528
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 600000000
+    }
+    end_time {
+      seconds: 6
+      nanos: 900000000
+    }
+    word: "is"
+    confidence: 0.7659580111503601
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 6
+      nanos: 900000000
+    }
+    end_time {
+      seconds: 7
+      nanos: 300000000
+    }
+    word: "Zev,"
+    confidence: 0.9128385782241821
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 7
+      nanos: 300000000
+    }
+    end_time {
+      seconds: 7
+      nanos: 700000000
+    }
+    word: "Ivory"
+    confidence: 0.7265068292617798
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 7
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 7
+      nanos: 900000000
+    }
+    word: "box"
+    confidence: 0.7768470644950867
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 7
+      nanos: 900000000
+    }
+    end_time {
+      seconds: 8
+      nanos: 700000000
+    }
+    word: "saying"
+    confidence: 0.8872998952865601
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 8
+      nanos: 700000000
+    }
+    end_time {
+      seconds: 9
+      nanos: 400000000
+    }
+    word: "things."
+    confidence: 0.9128385782241821
+    speaker_tag: 2
+  }
+  words {
+    start_time {
+      seconds: 10
+      nanos: 300000000
+    }
+    end_time {
+      seconds: 11
+      nanos: 500000000
+    }
+    word: "2019"
+    confidence: 0.7581849098205566
+    speaker_tag: 2
+  }
+}
+channel_tag: 2
+language_code: "en-us"
+

tatt/config.py

@@ -7,6 +7,15 @@ BUCKET_NAME_FMTR_MEDIA = 'tatt-media-{}'
 BUCKET_NAME_FMTR_TRANSCRIPT = 'tatt-transcript-{}'
 BUCKET_NAME_FMTR_TRANSCRIPT_GOOGLE = 'tatt_transcript_{}'
 
+
+def GOOGLE_SPEECH_USE_ENHANCED():
+    enhanced = os.getenv('GOOGLE_SPEECH_USE_ENHANCED')
+    if enhanced and enhanced == 'true':
+        return True
+    else:
+        return False
+
+
 if os.getenv('AWS_CONFIG_FILEPATH'):
     AWS_CONFIG_FILEPATH = Path(os.getenv('AWS_CONFIG_FILEPATH'))
 else:

tatt/exceptions.py

@@ -17,3 +17,7 @@ class NotAvailable(Exception):
 
 class DependencyRequired(Exception):
     pass
+
+
+class FormatError(Exception):
+    pass

tatt/helpers.py

@@ -6,6 +6,7 @@ from typing import Dict, List
 import audioread
 
 from tatt import config, exceptions, vendors
+from tatt.vendors.vendor import TranscriberBaseClass
 
 
 def make_string_all_services(free_only=False):
@@ -40,13 +41,14 @@ def get_job(job_name):
     return job
 
 
-def get_transcript(job_name):
+def get_transcript(job_name) -> tuple:
     job = get_job(job_name)
     service = get_service(job['service_name'])
-    return service.retrieve_transcript(job_name)
+    transcript = service.retrieve_transcript(job_name)
+    return transcript, service
 
 
-def get_service(service_name):
+def get_service(service_name) -> TranscriberBaseClass:
     module = vendors.SERVICES[service_name]
     return getattr(module, config.SERVICE_CLASS_NAME)
 

tatt/transcribe.py

@@ -22,16 +22,20 @@ def cli():
 def get(name, save, pretty):
     """Downloads and/or saves completed transcript."""
     try:
-        transcript = json.dumps(helpers.get_transcript(name), 
-                                indent=4 if pretty else None)
+        transcript, service = helpers.get_transcript(name)
     except exceptions.DoesntExistError:
         raise click.ClickException(f'no such transcript {name}')
     except exceptions.NotAvailable as e:
         raise click.ClickException(str(e))
 
     file = None
-    if save:
+    if service.transcript_type == dict:
+        transcript = json.dumps(transcript, indent=4 if pretty else None)
         filepath = f'{name}.json'
+    else:
+        filepath = f'{name}.txt'
+
+    if save:
         file = open(filepath, 'w')
 
     click.echo(transcript, file=file)

tatt/vendors/amazon.py

@@ -14,6 +14,7 @@ from .vendor import TranscriberBaseClass
 NAME = 'amazon'
 BUCKET_NAME_MEDIA = config.BUCKET_NAME_FMTR_MEDIA.format(NAME)
 BUCKET_NAME_TRANSCRIPT = config.BUCKET_NAME_FMTR_TRANSCRIPT.format(NAME)
+TRANSCRIPT_TYPE = dict
 
 
 def _check_for_config() -> bool:
@@ -23,6 +24,7 @@ def _check_for_config() -> bool:
         )
 
 
+
 class Transcriber(TranscriberBaseClass):
 
     cost_per_15_seconds = .024 / 4
@@ -30,6 +32,7 @@ class Transcriber(TranscriberBaseClass):
                     'transcript': BUCKET_NAME_TRANSCRIPT}
 
     no_config_error_message = 'please run "aws configure" first'
+    transcript_type = TRANSCRIPT_TYPE
 
     if _check_for_config():
         tr = boto3.client('transcribe')
@@ -120,7 +123,8 @@ class Transcriber(TranscriberBaseClass):
         return jobs
 
     @classmethod
-    def retrieve_transcript(cls, transcription_job_name: str) -> dict:
+    def retrieve_transcript(cls, transcription_job_name: str
+            ) -> TRANSCRIPT_TYPE:
         job = cls.tr.get_transcription_job(
             TranscriptionJobName=transcription_job_name
         )['TranscriptionJob']

tatt/vendors/google.py

@@ -14,12 +14,13 @@ from google.cloud import (
     exceptions as gc_exceptions,
         )
 
-from tatt import exceptions, helpers, config
+from tatt import exceptions, helpers, config as config_mod
 from .vendor import TranscriberBaseClass
 
 NAME = 'google'
-BUCKET_NAME_TRANSCRIPT = config.BUCKET_NAME_FMTR_TRANSCRIPT_GOOGLE.format(
+BUCKET_NAME_TRANSCRIPT = config_mod.BUCKET_NAME_FMTR_TRANSCRIPT_GOOGLE.format(
         'goog')
+TRANSCRIPT_TYPE = str
 
 
 def _check_for_config():
@@ -35,6 +36,7 @@ class Transcriber(TranscriberBaseClass):
             'and put the path to your credentials in an '
             'environment variable "GOOGLE_APPLICATION_CREDENTIALS"'
             )
+    transcript_type = TRANSCRIPT_TYPE
 
     if _check_for_config():
         speech_client = speech.SpeechClient()
@@ -74,10 +76,6 @@ class Transcriber(TranscriberBaseClass):
     def file_format(self):
         return pathlib.Path(self.filepath).suffix[1:].lower()
 
-    @property
-    def transcript_name(self):
-        return self.basename + '.txt'
-
     @staticmethod
     def check_for_config() -> bool:
         return _check_for_config()
@@ -89,13 +87,13 @@ class Transcriber(TranscriberBaseClass):
     def _check_if_transcript_exists(self, transcript_name=None):
         return storage.Blob(
                     bucket=self.transcript_bucket, 
-                    name=transcript_name or self.transcript_name
+                    name=transcript_name or self.basename
                            ).exists(self.storage_client)
 
     def _request_transcription(
             self, 
             language_code='en-US',
-            model='video',
+            # model='video',
             ) -> str:
         """Returns the job_name"""
         if self._check_if_transcript_exists():
@@ -103,6 +101,9 @@ class Transcriber(TranscriberBaseClass):
                 f'{self.basename} already exists on {NAME}')
         num_audio_channels = helpers.get_num_audio_channels(self.filepath)
 
+        use_enhanced = config_mod.GOOGLE_SPEECH_USE_ENHANCED()
+        print(use_enhanced)
+
         with io.open(self.filepath, 'rb') as audio_file:
             content = audio_file.read()
             audio = speech.types.RecognitionAudio(content=content)
@@ -116,7 +117,12 @@ class Transcriber(TranscriberBaseClass):
             enable_word_time_offsets=True,
             language_code=language_code,
             enable_automatic_punctuation=True,
-            model=model,
+            enable_speaker_diarization=True,
+            # not clear whether this has to be 'phone_call' in order to
+            # use_enhanced
+            model='video',
+            use_enhanced=use_enhanced,
+            # model=model,
             )
 
         self.operation = self.speech_client.long_running_recognize(config, 
@@ -143,7 +149,8 @@ class Transcriber(TranscriberBaseClass):
         return self.basename
 
     @classmethod
-    def retrieve_transcript(cls, transcription_job_name: str) -> dict:
+    def retrieve_transcript(cls, transcription_job_name: str
+            ) -> TRANSCRIPT_TYPE:
         """Get transcript from BUCKET_NAME_TRANSCRIPT"""
         if not cls._check_if_transcript_exists(
                 cls,
@@ -161,7 +168,7 @@ class Transcriber(TranscriberBaseClass):
         return transcript_text
 
     def upload_file(self, bucket_name, path):
-        blob = self.transcript_bucket.blob(self.transcript_name)
+        blob = self.transcript_bucket.blob(self.basename)
         blob.upload_from_filename(path)
 
     @classmethod

tatt/vendors/vendor.py

@@ -1,7 +1,7 @@
 import abc
 import os
 from pathlib import PurePath
-from typing import List
+from typing import List, Union
 
 from tatt import exceptions
 
@@ -12,6 +12,8 @@ class TranscriberBaseClass:
 
     def __init__(self, filepath):
         self._setup()
+        if ' ' in filepath:
+            raise exceptions.FormatError('Please don\'t put any spaces in the filename.')
         self.filepath = PurePath(filepath)
         self.basename = str(os.path.basename(self.filepath))
 
@@ -24,6 +26,11 @@ class TranscriberBaseClass:
         """
         pass
 
+    @property
+    @abc.abstractmethod
+    def transcript_type(self):
+        pass
+
     @property
     @abc.abstractmethod
     def cost_per_15_seconds(self):
@@ -56,7 +63,7 @@ class TranscriberBaseClass:
 
     @classmethod
     @abc.abstractmethod
-    def retrieve_transcript(transcription_job_name: str) -> dict:
+    def retrieve_transcript(transcription_job_name: str) -> Union[str, dict]:
         pass
 
     @classmethod