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| import gradio as gr | |
| from TTS.api import TTS | |
| import torch | |
| # Inicjalizacja modelu TTS (głos: Mai, PL) | |
| tts = TTS(model_name="tts_models/pl/mai_female/vits", progress_bar=False, gpu=torch.cuda.is_available()) | |
| # Funkcja czatu + automatyczny głos | |
| def chat_and_speak(message, history): | |
| response = f"Hejka mała, to ja mała — ty mała, haha! Usłyszałam: {message}" | |
| # Zapisz głos do pliku | |
| tts.tts_to_file(text=response, file_path="output.wav") | |
| return response, "output.wav" | |
| # Interfejs Gradio | |
| with gr.Blocks() as demo: | |
| gr.Markdown("<h1 style='text-align: center;'>🖤 MAŁA CHAT 🖤</h1>") | |
| chatbot = gr.Chatbot() | |
| msg = gr.Textbox(label="Zadaj pytanie lub zagadaj do Małej 😏") | |
| audio_output = gr.Audio(label="Głos Małej 🎤", autoplay=True) | |
| def respond(message, history): | |
| response, audio = chat_and_speak(message, history) | |
| history.append((message, response)) | |
| return history, gr.update(value="", interactive=True), audio | |
| msg.submit(respond, [msg, chatbot], [chatbot, msg, audio_output]) | |
| demo.launch() |