update

app.py

@@ -3,9 +3,6 @@ os.system("pip install git+https://github.com/openai/whisper.git")
 os.system("pip install neon-tts-plugin-coqui==0.6.0")
 import gradio as gr
 import whisper
-
-#import os
-#import gradio as gr
 import requests 
 import tempfile
 from neon_tts_plugin_coqui import CoquiTTS
@@ -15,9 +12,7 @@ from datasets import load_dataset
 dataset = load_dataset("ysharma/short_jokes")
 
 # Language common in both the multilingual models - English, Chinese, Spanish, and French etc
-# So it would make sense to test the App on these four prominently
-
-# Whisper: Speech-to-text
+# /model 1: Whisper: Speech-to-text
 model = whisper.load_model("base")
 #model_med = whisper.load_model("medium")
 # Languages covered in Whisper - (exhaustive list) : 
@@ -43,7 +38,7 @@ model = whisper.load_model("base")
 #"ln": "lingala", "ha": "hausa", "ba": "bashkir", "jw": "javanese", "su": "sundanese",
 
 
-# Text-to-Speech
+#Model 2:  Text-to-Speech
 LANGUAGES = list(CoquiTTS.langs.keys())
 coquiTTS = CoquiTTS()
 print(f"Languages for Coqui are: {LANGUAGES}")
@@ -89,7 +84,7 @@ def whisper_stt(audio):
   #options_transc = whisper.DecodingOptions(fp16 = False, language=lang, task='transcribe') #lang
   options_transl = whisper.DecodingOptions(fp16 = False, language='en', task='translate') #lang
   #result_transc = whisper.decode(model_med, mel, options_transc)
-  result_transl = whisper.decode(model_med, mel, options_transl)
+  result_transl = whisper.decode(model, mel, options_transl)  #model_med
   
   # print the recognized text
   #print(f"transcript is : {result_transc.text}")