Update app.py

app.py

@@ -2,110 +2,8 @@ import whisper
 import gradio as gr 
 import time
 model = whisper.load_model("base")
-from transformers import pipeline
-es_en_translator = pipeline("translation_es_to_en")
-
-LANGUAGES = {
-    "en": "english",
-    "zh": "chinese",
-    "de": "german",
-    "es": "spanish",
-    "ru": "russian",
-    "ko": "korean",
-    "fr": "french",
-    "ja": "japanese",
-    "pt": "portuguese",
-    "tr": "turkish",
-    "pl": "polish",
-    "ca": "catalan",
-    "nl": "dutch",
-    "ar": "arabic",
-    "sv": "swedish",
-    "it": "italian",
-    "id": "indonesian",
-    "hi": "hindi",
-    "fi": "finnish",
-    "vi": "vietnamese",
-    "iw": "hebrew",
-    "uk": "ukrainian",
-    "el": "greek",
-    "ms": "malay",
-    "cs": "czech",
-    "ro": "romanian",
-    "da": "danish",
-    "hu": "hungarian",
-    "ta": "tamil",
-    "no": "norwegian",
-    "th": "thai",
-    "ur": "urdu",
-    "hr": "croatian",
-    "bg": "bulgarian",
-    "lt": "lithuanian",
-    "la": "latin",
-    "mi": "maori",
-    "ml": "malayalam",
-    "cy": "welsh",
-    "sk": "slovak",
-    "te": "telugu",
-    "fa": "persian",
-    "lv": "latvian",
-    "bn": "bengali",
-    "sr": "serbian",
-    "az": "azerbaijani",
-    "sl": "slovenian",
-    "kn": "kannada",
-    "et": "estonian",
-    "mk": "macedonian",
-    "br": "breton",
-    "eu": "basque",
-    "is": "icelandic",
-    "hy": "armenian",
-    "ne": "nepali",
-    "mn": "mongolian",
-    "bs": "bosnian",
-    "kk": "kazakh",
-    "sq": "albanian",
-    "sw": "swahili",
-    "gl": "galician",
-    "mr": "marathi",
-    "pa": "punjabi",
-    "si": "sinhala",
-    "km": "khmer",
-    "sn": "shona",
-    "yo": "yoruba",
-    "so": "somali",
-    "af": "afrikaans",
-    "oc": "occitan",
-    "ka": "georgian",
-    "be": "belarusian",
-    "tg": "tajik",
-    "sd": "sindhi",
-    "gu": "gujarati",
-    "am": "amharic",
-    "yi": "yiddish",
-    "lo": "lao",
-    "uz": "uzbek",
-    "fo": "faroese",
-    "ht": "haitian creole",
-    "ps": "pashto",
-    "tk": "turkmen",
-    "nn": "nynorsk",
-    "mt": "maltese",
-    "sa": "sanskrit",
-    "lb": "luxembourgish",
-    "my": "myanmar",
-    "bo": "tibetan",
-    "tl": "tagalog",
-    "mg": "malagasy",
-    "as": "assamese",
-    "tt": "tatar",
-    "haw": "hawaiian",
-    "ln": "lingala",
-    "ha": "hausa",
-    "ba": "bashkir",
-    "jw": "javanese",
-    "su": "sundanese",
-}
+#from transformers import pipeline
+#es_en_translator = pipeline("translation_es_to_en")
 
 def transcribe(audio):
     
@@ -119,18 +17,18 @@ def transcribe(audio):
 
     # detect the spoken language
     _, probs = model.detect_language(mel)
-    #print(f"Detected language: {max(probs, key=probs.get)}")
-    lang = LANGUAGES[language]
-    lang=(f"Detected language: {lang}")
+    print(f"Detected language: {max(probs, key=probs.get)}")
+    #lang = LANGUAGES[language]
+    #lang=(f"Detected language: {lang}")
 
 
     # decode the audio
     options = whisper.DecodingOptions(fp16 = False,task= "translate")
     result = whisper.decode(model, mel, options)
-    word= result.text
-    trans = es_en_translator(word)
-    Trans = trans[0]['translation_text']
-    result=f"{lang}\n{word}\n\nEnglish translation: {Trans}"
+    #word= result.text
+    #trans = es_en_translator(word)
+    #Trans = trans[0]['translation_text']
+    #result=f"{lang}\n{word}\n\nEnglish translation: {Trans}"
     return result.text