@app.function()
class InteractiveChat:
    def __init__(self, model_name="openai/whisper-large", tts_choice="OpenVoice", **kwargs):
        self.whisper_processor = WhisperProcessor.from_pretrained(model_name)
        self.whisper_model = WhisperForConditionalGeneration.from_pretrained(model_name)
        self.zephyr_tokenizer = AutoTokenizer.from_pretrained("HuggingFaceH4/zephyr-7b-beta")
        self.zephyr_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta", device_map="auto")
        self.zephyr_pipeline = pipeline("text-generation", model=self.zephyr_model, tokenizer=self.zephyr_tokenizer)
        self.tts_choice = tts_choice

    def generate_response(self, input_data):
        input_features = self.whisper_processor(input_data, sampling_rate=16_000, return_tensors="pt").input_features
        predicted_ids = self.whisper_model.generate(input_features)
        transcription = self.whisper_processor.batch_decode(predicted_ids, skip_special_tokens=True)[0]

        # Use the transcription as input for Zephyr
        response = self.zephyr_pipeline(transcription, max_length=1000)[0]["generated_text"]
        return transcription, response

    def speak(self, text):
        try:
            if self.tts_choice == "OpenVoice":
                model_path = snapshot_download("facebook/mms-tts-eng")
                pipe = pipeline("text-to-speech", model=model_path)
                audio_array = pipe(text).audio
                pygame.mixer.init()
                sound = pygame.sndarray.make_sound(audio_array)
                sound.play()
                pygame.time.delay(int(sound.get_length() * 1000))
            else:  # gTTS
                tts = gTTS(text=text, lang='en')
                tts.save("response.mp3")
                pygame.mixer.init()
                pygame.mixer.music.load("response.mp3")
                pygame.mixer.music.play()
                while pygame.mixer.music.get_busy():
                    pygame.time.Clock().tick(10)
        except Exception as e:
            print("Error occurred during speech generation:", e)


with gr.Blocks() as demo:
    model_choice = gr.Dropdown(["openai/whisper-large"], label="Whisper Model", value="openai/whisper-large")
    tts_choice = gr.Radio(["OpenVoice", "gTTS"], label="TTS Engine", value="OpenVoice")
    input_data = gr.Audio(source="microphone", type="numpy", label="Speak Your Message")
    output_text = gr.Textbox(label="Transcription and Response")

    model_choice.change(lambda x, y: InteractiveChat(x, y), inputs=[model_choice, tts_choice], outputs=None)
    tts_choice.change(lambda x, y: InteractiveChat(y, x), inputs=[tts_choice, model_choice], outputs=None)
    input_data.change(lambda x, model: model.generate_response(x), inputs=[input_data, model_choice],
                      outputs=output_text)
    input_data.change(lambda x, model: model.speak(x[1]), inputs=[output_text, model_choice],
                      outputs=None)  # Speak the response