Create app.py

app.py

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+import streamlit as st
+from TTS.api import TTS
+import torch
+from io import BytesIO
+
+# Initialize the TTS model
+device = "cuda" if torch.cuda.is_available() else "cpu"
+tts = TTS(model_name="tts_models/en/ljspeech/tacotron2-DDC", progress_bar=True, gpu=device == "cuda")
+
+# App title
+st.title("🐸 Coqui TTS - Text to Speech App")
+
+# Text input
+text = st.text_area("Enter the text to convert to speech", "Imagine being able to offer your clients curated travel insights at their fingertips.")
+
+# File upload for voice cloning (optional)
+speaker_wav = st.file_uploader("Upload a speaker audio file for voice cloning (optional)", type=["wav"])
+
+# Submit button
+if st.button("Generate Speech"):
+    if text.strip() == "":
+        st.warning("Please enter some text.")
+    else:
+        # Run TTS
+        st.text("Generating speech...")
+        try:
+            if speaker_wav is not None:
+                # Use voice cloning
+                wav = tts.tts(text=text, speaker_wav=speaker_wav)
+            else:
+                # Default voice
+                wav = tts.tts(text=text)
+            
+            # Display audio player
+            st.audio(wav, format="audio/wav")
+            
+            # Option to download the audio file
+            buffer = BytesIO()
+            buffer.write(wav)
+            buffer.seek(0)
+            st.download_button("Download Audio", buffer, file_name="output.wav", mime="audio/wav")
+        except Exception as e:
+            st.error(f"An error occurred: {e}")