Update app.py

app.py

@@ -1,35 +1,5 @@
 import gradio as gr
-import openai
-import time
-import os
-from pydub import AudioSegment
-from pydub.silence import split_on_silence
-
-openai_client = openai.OpenAI()
-OPENAI_TRANSCRIPTION_MODEL = 'whisper-1'
-whisper = openai_client.audio.transcriptions.create
-WHISPER_TEMPERATURE = 0.0
-
-def transcribe_audio(audio_file):
-    audio = AudioSegment.from_file(audio_file)
-    chunks = split_on_silence(audio, min_silence_len=500, silence_thresh=-40)
-    
-    transcription = ""
-    nChunks = len(chunks)
-    print(f'PROCESSING {nChunks} chunks')
-
-    for i, chunk in enumerate(chunks):
-        chunk_file = f"CHUNKS/chunk_{i}.mp3"
-        chunk.export(chunk_file, format="mp3")
-        response = whisper(model = OPENAI_TRANSCRIPTION_MODEL,
-                         file = open(chunk_file, 'rb'), 
-                         language = 'es',
-                         temperature = WHISPER_TEMPERATURE)        # to do, explore temperature
-        #print(dir(response))
-        transcription += response.text + " "
-        # os.remove(chunk_file)   # concatenate at the end
-        
-        yield transcription
+from libs.audio import transcribe_audio
 
 iface = gr.Interface(
     fn=transcribe_audio,