Create app.py

app.py

@@ -0,0 +1,18 @@
+from transformers import pipeline
+import gradio as gr
+import tempfile
+
+# Load TTS pipeline with a model that works in Spaces
+tts = pipeline("text-to-speech", model="facebook/fastspeech2-en-ljspeech")
+
+def greet(name):
+    greeting = f"Hello {name}!! You're amazing!"
+    audio_data = tts(greeting)["audio"]
+
+    # Save to a temp WAV file
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".wav") as f:
+        f.write(audio_data)
+        return f.name
+
+demo = gr.Interface(fn=greet, inputs="text", outputs=gr.Audio(type="filepath"))
+demo.launch()