Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Streamlit app title
+st.title("Text to Speech Converter")
+
+# User input for text to convert to speech
+text_input = st.text_area("Enter text to convert to speech:")
+
+# Load the Hugging Face TTS model
+tts_pipeline = pipeline("text-to-speech", model="espnet/kan-bayashi-ljspeech-vits")
+
+# Button to generate speech
+if st.button("Convert to Speech"):
+    if text_input:
+        # Generate the speech
+        tts_output = tts_pipeline(text_input)
+
+        # Save the generated speech to a file
+        with open("output.wav", "wb") as f:
+            f.write(tts_output["wav"])
+
+        # Display the audio player in Streamlit
+        st.audio("output.wav")
+    else:
+        st.warning("Please enter some text to convert.")
+
+# Footer
+st.markdown("Powered by [Hugging Face Transformers](https://huggingface.co/transformers/).")