Create app.py

app.py

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+import streamlit as st
+from espnet2.bin.tts_inference import Text2Speech
+
+# Load the Text2Speech model
+model = Text2Speech.from_pretrained("kan-bayashi/ljspeech_fastspeech2")
+
+def generate_audio(text):
+    with st.spinner("Generating Speech..."):
+        speech, *_ = model(text)
+    return speech
+
+def main():
+    st.title("Text to Speech with ESPnet2")
+
+    text_input = st.text_area("Enter the text to generate speech:", "")
+    if st.button("Generate Speech"):
+        if text_input:
+            audio = generate_audio(text_input)
+            st.audio(audio, format="audio/wav")
+        else:
+            st.warning("Please enter some text.")
+
+if __name__ == "__main__":
+    main()