Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+pipe = pipeline(model="lfurman/whisper-tiny-en")
+
+def transcribe(audio):
+    text = pipe(audio)["text"]
+    return text
+
+with gr.Blocks() as demo:
+    gr.Markdown("# Whisper Tiny FreeSound Audio Captioning")
+    gr.Markdown("Upload an audio file for captioning using a fine-tuned Whisper tiny model.")
+    with gr.Row():
+        audio_input = gr.Audio(sources="upload", type="filepath")
+        text_output = gr.Textbox(label="Audio Caption")
+    btn = gr.Button("Transcribe")
+    btn.click(fn=transcribe, inputs=audio_input, outputs=text_output)
+
+if __name__ == "__main__":
+    demo.launch()