import whisper
import os
import gtts
import nltk
nltk.download('words')
from nltk.corpus import words

def speech_to_text(file_path):
    if os.path.exists(file_path):
        model = whisper.load_model("base")
        result = model.transcribe(file_path, fp16=False, language='English', verbose=False)
        return result["text"]
    else:
        print("File not found:", file_path)
        raise Exception("File " + file_path + " not found.")

def text_to_speech(text: str, file_name: str):
    tts = gtts.gTTS(text)
    tts.save(file_name)

def has_words(text: str):
    english_words = set(words.words())
    words_in_input = text.split()
    return any(word.lower() in english_words for word in words_in_input)