Create app.py

app.py

@@ -0,0 +1,29 @@
+# app.py
+
+import gradio as gr
+from model_handler import call_model_with_timeout
+
+def synthesize(text, ref_audio, ref_text):
+    if not ref_audio:
+        return "⛔ Please upload a reference WAV file", None
+
+    status, output_path = call_model_with_timeout(text, ref_audio.name, ref_text)
+    return status, output_path
+
+iface = gr.Interface(
+    fn=synthesize,
+    inputs=[
+        gr.Textbox(label="📝 Hindi Text to Synthesize"),
+        gr.Audio(label="🎤 Reference Audio (.wav)", type="file"),
+        gr.Textbox(label="📝 Reference Text (Optional)", value="")
+    ],
+    outputs=[
+        gr.Textbox(label="🔔 Status"),
+        gr.Audio(label="🔊 Synthesized Audio")
+    ],
+    title="AI4Bharat Hindi TTS (IndicF5)",
+    description="Enter Hindi text, upload a reference audio file, and get synthesized output using the Hugging Face AI4Bharat/IndicF5 model."
+)
+
+if __name__ == "__main__":
+    iface.launch()