Create app.py

app.py

@@ -0,0 +1,40 @@
+import gradio as gr 
+
+def infer(audio_input_path):
+
+    import subprocess
+
+    command = [
+        "python", "-m", "moshi.run_inference",
+        f"{audio_input_path}", "out_en.wav",
+        "--hf-repo", "kyutai/hibiki-1b-pytorch-bf16"
+    ]
+
+    result = subprocess.run(command, capture_output=True, text=True)
+
+    # Print the standard output and error
+    print("STDOUT:", result.stdout)
+    print("STDERR:", result.stderr)
+
+    # Check if the command was successful
+    if result.returncode == 0:
+        print("Command executed successfully.")
+    else:
+        print("Error executing command.")
+
+    return "Done"
+
+with gr.Blocks() as demo:
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown("# hibiki test")
+        audio_input = gr.Audio(label="Audio IN", type="filepath")
+        submit_btn = gr.Button("Submit")
+        output_result = gr.Audio("Translated result")
+
+    submit_btn.click(
+        fn = infer,
+        inputs = [audio_input],
+        outputs = [output_result]
+    )
+
+demo.queue().launch(show_api=False, show_error=True)