add basic file

app.py

@@ -1,4 +1,26 @@
 import streamlit as st
+from transformers import SpeechT5Processor, SpeechT5ForTextToSpeech, SpeechT5HifiGan
+from datasets import load_dataset
+import torch
+import soundfile as sf
+from datasets import load_dataset
 
-x = st.slider('Select a value')
-st.write(x, 'squared is ', x*x)
+st.title('Dummy Text To Speech')
+text = st.text_input(
+    label="Enter the text you want to convert to speech",
+	vlue = "Hi, Welcome to theserverfault.com"
+)
+
+processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
+model = SpeechT5ForTextToSpeech.from_pretrained("microsoft/speecht5_tts")
+vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
+
+
+inputs = processor(text=text, return_tensors="pt")
+
+embeddings_dataset = load_dataset("Matthijs/cmu-arctic-xvectors", split="validation")
+speaker_embeddings = torch.tensor(embeddings_dataset[7306]["xvector"]).unsqueeze(0)
+
+speech = model.generate_speech(inputs["input_ids"], speaker_embeddings, vocoder=vocoder)
+
+sf.write("speech.wav", speech.numpy(), samplerate=16000)