Update app.py

app.py

@@ -1,7 +1,41 @@
+import os
+import tempfile
+
+import torch
 import gradio as gr
+from transformers import pipeline
+
+
+MODEL_NAME = "openai/whisper-large-v3"
+BATCH_SIZE = 8
+
+device = 0 if torch.cuda.is_available() else "cpu"
+
+pipe = pipeline(
+    task="automatic-speech-recognition",
+    model=MODEL_NAME,
+    chunk_length_s=30,
+    device=device,
+)
+
+
+def transcribe(inputs, task="transcribe"):
+    if inputs is None:
+        raise gr.Error("No audio file submitted!")
+
+    output = pipe(
+        inputs, 
+        batch_size=BATCH_SIZE, 
+        generate_kwargs={"task": task}, 
+        return_timestamps=True
+    )
+    return output["text"]
 
-def greet(name):
-    return "Hello " + name + "!!"
+demo = gr.Interface(
+    fn=transcribe,
+    inputs=["audio"],
+    outputs="text",
+    title="Transcribe Audio to Text", # Give our demo a title
+)
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+demo.launch()