create app.py

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the model directly from Hugging Face Hub
+tts_pipeline = pipeline("text-to-speech", model="Abhinay45/XTTS-Hindi-finetuned")
+
+def text_to_speech(text):
+    speech = tts_pipeline(text)
+    return speech['audio']
+
+# Create a Gradio interface
+iface = gr.Interface(fn=text_to_speech, 
+                     inputs="text", 
+                     outputs="audio",
+                     title="Text to Speech")
+
+iface.launch()