Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+import scipy
+
+# Suno Bark text-to-speech pipeline load करें
+bark_pipe = pipeline("text-to-speech", model="suno/bark")
+
+def bark_tts(text):
+    result = bark_pipe(text)
+    # WAV file return करें (Gradio को binary चाहिए)
+    scipy.io.wavfile.write("output.wav", result["sampling_rate"], result["audio"])
+    return "output.wav"
+
+iface = gr.Interface(
+    fn=bark_tts,
+    inputs=gr.Textbox(label="Enter text (Hindi/English)"),
+    outputs=gr.Audio(type="filepath", label="Generated Speech"),
+    title="Suno Bark Text-to-Speech Demo"
+)
+
+if __name__ == "__main__":
+    iface.launch(server_name="0.0.0.0", server_port=7860)
+