Create app.py

app.py

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+import os
+import torchaudio
+import streamlit as st
+from tortoise.api import TextToSpeech
+
+# Initialize Tortoise TTS
+tts = TextToSpeech()
+
+# Function to generate speech from text
+def text_to_speech(text, preset="fast"):
+    st.write("Generating speech... This may take a while.")
+    
+    # Generate speech using the Tortoise TTS API
+    generated = tts.tts_with_preset(text, preset=preset)
+    
+    # Save the generated audio as a wav file using torchaudio
+    output_path = "output.wav"
+    torchaudio.save(output_path, generated.squeeze(0).cpu(), sample_rate=24000)
+    return output_path
+
+# Streamlit interface
+st.title("Text to Speech Converter")
+
+# Take user input as text
+text = st.text_input("Enter text you want to convert to speech", "Hello, welcome to the Tortoise TTS text-to-speech demonstration.")
+
+# Button to generate speech
+if st.button("Generate Speech"):
+    output_path = text_to_speech(text)
+
+    # Read and play the audio file in the Streamlit app
+    audio_file = open(output_path, 'rb')
+    audio_bytes = audio_file.read()
+    st.audio(audio_bytes, format='audio/wav')