import tempfile
import gradio as gr
from neon_tts_plugin_coqui import CoquiTTS
LANGUAGES = list(CoquiTTS.langs.keys())
default_lang = "en"

# ChatGPT
from pyChatGPT import ChatGPT
import whisper
whisper_model = whisper.load_model("small")
#whisper = gr.Blocks.load(name="spaces/sanchit-gandhi/whisper-large-v2")
import os
session_token = os.environ.get('SessionToken') 

title = "Speech to ChatGPT to Speech"
#info = "more info at [Neon Coqui TTS Plugin](https://github.com/NeonGeckoCom/neon-tts-plugin-coqui), [Coqui TTS](https://github.com/coqui-ai/TTS)"
#badge = "https://visitor-badge-reloaded.herokuapp.com/badge?page_id=neongeckocom.neon-tts-plugin-coqui"

coquiTTS = CoquiTTS()


# ChatGPT
def chat_hf(audio, custom_token, language):
    try:
        whisper_text = translate(audio)
        api = ChatGPT(session_token) 
        resp = api.send_message(whisper_text)
        
        api.refresh_auth()  # refresh the authorization token
        api.reset_conversation()  # reset the conversation
        gpt_response = resp['message']

    except:
        whisper_text = translate(audio)
        api = ChatGPT(custom_token) 
        resp = api.send_message(whisper_text)
        
        api.refresh_auth()  # refresh the authorization token
        api.reset_conversation()  # reset the conversation
        gpt_response = resp['message']

    # to voice
    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
        coquiTTS.get_tts(gpt_response, fp, speaker = {"language" : language})
    
    return whisper_text, gpt_response, fp.name

# whisper
def translate(audio):
    print("""
    —
    Sending audio to Whisper ...
    —
    """)
    
    audio = whisper.load_audio(audio)
    audio = whisper.pad_or_trim(audio)
    
    mel = whisper.log_mel_spectrogram(audio).to(whisper_model.device)
    
    _, probs = whisper_model.detect_language(mel)
    
    transcript_options = whisper.DecodingOptions(task="transcribe", fp16 = False)
    
    transcription = whisper.decode(whisper_model, mel, transcript_options)
    
    print("language spoken: " + transcription.language)
    print("transcript: " + transcription.text)
    print("———————————————————————————————————————————")  
      
    return transcription.text

#def translate(audio):
#    print("""
#    —
#    Sending audio to Whisper ...
#    —
#    """)
#   
#    text_result = whisper(audio, None, "transcribe", fn_index=0)
#    print(text_result)
#    return text_result


with gr.Blocks() as blocks:
    gr.Markdown("<h1 style='text-align: center; margin-bottom: 1rem'>"
                + title
                + "</h1>")
    #gr.Markdown(description)
    with gr.Row(equal_height=True):# equal_height=False
        with gr.Column():# variant="panel"
            radio = gr.Radio(
                label="Language",
                choices=LANGUAGES,
                value=default_lang
            )
            audio_file = gr.inputs.Audio(source="microphone", type="filepath")
            custom_token = gr.Textbox(label='If it fails, use your own session token', placeholder="your own session token")
            with gr.Row():# mobile_collapse=False
                submit = gr.Button("Submit", variant="primary")
        with gr.Column():
            text1 = gr.Textbox(label="Speech to Text")
            text2 = gr.Textbox(label="ChatGPT response")
            audio = gr.Audio(label="Output", interactive=False)
    #gr.Markdown(info)
    #gr.Markdown("<center>"
    #            +f'<img src={badge} alt="visitors badge"/>'
    #            +"</center>")

    # actions
    submit.click(
        chat_hf,
        [audio_file, custom_token, radio],
        [text1, text2, audio],
    )
    radio.change(lambda lang: CoquiTTS.langs[lang]["sentence"], radio, text2)


blocks.launch(debug=True)