Create app.py

app.py

@@ -0,0 +1,32 @@
+import streamlit as st
+import torch
+import outetts
+from scipy.io.wavfile import write
+
+def generate_speech(text, model_config):
+    model = outetts.TTSModel(model_config)
+    model.eval()
+    
+    with torch.no_grad():
+        audio, sample_rate = model.infer(text)
+    
+    return audio, sample_rate
+
+# Streamlit UI
+st.title("OuteTTS Speech Synthesis")
+st.write("Enter text below to generate speech.")
+
+text_input = st.text_area("Text to convert to speech:", "Hello, this is an AI-generated voice.")
+
+if st.button("Generate Speech"):
+    with st.spinner("Generating audio..."):
+        model_config = outetts.HFModelConfig_v1(
+            model_path="OuteAI/OuteTTS-0.2-500M",
+            language="en"
+        )
+        audio, sample_rate = generate_speech(text_input, model_config)
+        output_path = "output.wav"
+        write(output_path, sample_rate, audio)
+        
+        st.audio(output_path, format="audio/wav")
+        st.success("Speech generated successfully!")