Create app.py

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+import whisper
+
+# Load Whisper model
+model = whisper.load_model("base")
+
+def transcribe(audio_path):
+    """Transcribes the given audio file using OpenAI's Whisper model."""
+    if audio_path is None:
+        return "No audio file provided."
+
+    # Load and transcribe the audio
+    result = model.transcribe(audio_path)
+    return result["text"]
+
+# Create Gradio interface
+app = gr.Interface(fn=transcribe, inputs=gr.Audio(type="filepath"), outputs="text")
+app.launch()