create app.py

app.py

@@ -0,0 +1,27 @@
+from TTSInferencing import TTSInferencing
+import  streamlit as st
+from speechbrain.inference.vocoders import HIFIGAN
+import torchaudio
+
+
+tts_model = TTSInferencing.from_hparams(source="./",
+                                        hparams_file='./hyperparams.yaml',
+                                        pymodule_file='./module_classes.py',
+                                        savedir="/results/",
+                                        )
+
+hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-ljspeech", savedir='/pretrained_models/hifi-gan-ljspeech')
+
+# text = ["Hello I am a girl", "How is your day going", "I hope you are doing well"]
+
+# Input text
+text = [st.text_input("Enter your text here")]
+
+if text:
+    mel_outputs = tts_model.encode_batch(text)
+    waveforms = hifi_gan.decode_batch(mel_outputs)
+
+    waveform =  waveforms[0].squeeze(1)
+
+    # Display the audio widget to play the synthesized speech
+    st.audio(waveform.numpy(), format="audio/wav")