removed app.py

app.py

@@ -1,50 +0,0 @@
-from transformers import pipeline
-import gradio as gr
-import os
-
-whisper = pipeline(model='jlvdoorn/whisper-large-v2-atco2-asr-atcosim', use_auth_token=os.environ['HUGGINGFACE_TOKEN'])
-bert_atco_ner = pipeline(model='Jzuluaga/bert-base-ner-atc-en-atco2-1h')
-
-def transcribe(audio_mic, audio_file):
-    if audio_file is not None:
-        return whisper(audio_file)['text']
-    if audio_mic is not None:
-        return whisper(audio_mic)['text']
-    else:
-        return 'There was no audio to transcribe...'
-
-def extractCallSignCommand(transcription):
-    if type(transcription) is str:
-        result = bert_atco_ner(transcription)
-        callsigns = []
-        commands = []
-        values = []
-        for item in result:
-            if 'callsign' in item['entity']:
-                callsigns.append(item['word'])
-            if 'command' in item['entity']:
-                commands.append(item['word'])
-            if 'value' in item['entity']:
-                values.append(item['word'])
-                
-        return 'Callsigns: ' + ', '.join(callsigns) + '\nCommands: ' + ', '.join(commands) + '\nValues: ' + ', '.join(values)
-    else:
-        return 'There was no transcription to extract a callsign or command from...'
-
-def transcribeAndExtract(audio_mic, audio_file, transcribe_only):
-    transcription = transcribe(audio_mic, audio_file)
-    if not transcribe_only:
-        callSignCommandValues = extractCallSignCommand(transcription)
-    else:
-        callSignCommandValues = ''
-    return transcription, callSignCommandValues
-
-iface = gr.Interface(
-        fn=transcribeAndExtract,
-        inputs=[gr.Audio(source='microphone', type='filepath'), gr.Audio(source='upload', type='filepath'), gr.Checkbox(label='Transcribe only', default=False)],
-        outputs=[gr.Text(label='Transcription'), gr.Text(label='Callsigns, commands and values')],
-        title='Whisper Large v2 - ATCO2-ASR-ATCOSIM',
-        description='Whisper Large v2 model fine-tuned on the ATCO2-ASR and ATCOSIM datasets.'
-)
-
-iface.launch()