Removed references to whisper

app.py

@@ -9,9 +9,7 @@ import boto3
 import gradio as gr
 import requests
 
-# UNCOMMENT TO USE WHISPER
 import warnings
-import whisper
 
 from langchain import ConversationChain, LLMChain
 
@@ -75,56 +73,13 @@ AZURE_VOICE_DATA = AzureVoiceData()
 
 # Pertains to WHISPER functionality
 WHISPER_DETECT_LANG = "Detect language"
-
-# UNCOMMENT TO USE WHISPER
 warnings.filterwarnings("ignore")
-WHISPER_MODEL = whisper.load_model("tiny")
-print("WHISPER_MODEL", WHISPER_MODEL)
-
-
-# UNCOMMENT TO USE WHISPER
-def transcribe(aud_inp, whisper_lang):
-    if aud_inp is None:
-        return ""
-    aud = whisper.load_audio(aud_inp)
-    aud = whisper.pad_or_trim(aud)
-    mel = whisper.log_mel_spectrogram(aud).to(WHISPER_MODEL.device)
-    _, probs = WHISPER_MODEL.detect_language(mel)
-    options = whisper.DecodingOptions()
-    if whisper_lang != WHISPER_DETECT_LANG:
-        whisper_lang_code = POLLY_VOICE_DATA.get_whisper_lang_code(whisper_lang)
-        options = whisper.DecodingOptions(language=whisper_lang_code)
-    result = whisper.decode(WHISPER_MODEL, mel, options)
-    print("result.text", result.text)
-    result_text = ""
-    if result and result.text:
-        result_text = result.text
-    return result_text
 
 
 # Temporarily address Wolfram Alpha SSL certificate issue
 ssl._create_default_https_context = ssl._create_unverified_context
 
 
-# TEMPORARY FOR TESTING
-def transcribe_dummy(aud_inp_tb, whisper_lang):
-    if aud_inp_tb is None:
-        return ""
-    # aud = whisper.load_audio(aud_inp)
-    # aud = whisper.pad_or_trim(aud)
-    # mel = whisper.log_mel_spectrogram(aud).to(WHISPER_MODEL.device)
-    # _, probs = WHISPER_MODEL.detect_language(mel)
-    # options = whisper.DecodingOptions()
-    # options = whisper.DecodingOptions(language="ja")
-    # result = whisper.decode(WHISPER_MODEL, mel, options)
-    result_text = "Whisper will detect language"
-    if whisper_lang != WHISPER_DETECT_LANG:
-        whisper_lang_code = POLLY_VOICE_DATA.get_whisper_lang_code(whisper_lang)
-        result_text = f"Whisper will use lang code: {whisper_lang_code}"
-    print("result_text", result_text)
-    return aud_inp_tb
-
-
 # Pertains to Express-inator functionality
 def transform_text(desc, express_chain, num_words, formality,
                    anticipation_level, joy_level, trust_level,