feat: use facebook model for text to speech

app.py

@@ -1,4 +1,19 @@
 import streamlit as st
+from fairseq.models.text_to_speech.hub_interface import TTSHubInterface
+import IPython.display as ipd
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+
+models, cfg, task = load_model_ensemble_and_task_from_hf_hub(
+    "facebook/fastspeech2-en-ljspeech",
+    arg_overrides={"vocoder": "hifigan", "fp16": False}
+)
+model = models[0]
+TTSHubInterface.update_cfg_with_data_cfg(cfg, task.data_cfg)
+generator = task.build_generator(model, cfg)
+
+text = "Hello, this is a test run."
+
+sample = TTSHubInterface.get_model_input(task, text)
+wav, rate = TTSHubInterface.get_prediction(task, model, generator, sample)
+
+ipd.Audio(wav, rate=rate)