the app

app.py

@@ -0,0 +1,30 @@
+from transformers import pipeline
+import gradio as gr
+
+pipe = pipeline(model="SaladSlayer00/another_local")
+
+
+def transcribe(rec=None, file=None):
+    if rec is not None:
+        audio = rec
+    elif file is not None:
+        audio = file
+    else:
+        return "Provide a recording or a file."
+
+    text = pipe(audio)["text"]
+    return text
+
+
+iface = gr.Interface(
+    fn=transcribe,
+    inputs=[
+        gr.Audio(type="filepath")
+    ],
+    outputs="text",
+    title="Whisper Small Italian",
+    description="Realtime demo for Italian speech recognition using a fine-tuned Whisper model.",
+)
+
+
+iface.launch()