.

app.py

@@ -0,0 +1,37 @@
+import requests
+import gradio as gr
+
+API_URL = "https://api-inference.huggingface.co/models/MIT/ast-finetuned-audioset-10-10-0.4593"
+headers = {"Authorization": f"Bearer {os.environ.get('HF_TOKEN')}"}
+
+def classify_audio(audio_file):
+    """
+    Classify the uploaded audio file using Hugging Face AST model
+    """
+    if audio_file is None:
+        return "Please upload an audio file."
+    
+    with open(audio_file.name, "rb") as f:
+        data = f.read()
+    response = requests.post(API_URL, headers=headers, data=data)
+    try:
+        results = response.json()
+        return results
+    except Exception as e:
+        return f"Error processing audio: {str(e)}"
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=classify_audio,
+    inputs=gr.Audio(type="filepath", label="Upload Audio File"),
+    outputs=gr.JSON(label="Classification Results"),
+    title="Audio Classification using AST Model",
+    description="Upload an audio file to get its classification results using the Audio Spectrogram Transformer model.",
+    examples=[],
+)
+
+# Launch the interface
+iface.launch()
+
+
+