Update app.py

app.py

@@ -7,7 +7,7 @@ import gradio as gr # Imports the Gradio library, which is used to create user i
 HF_TOKEN = os.environ.get("HF_TOKEN", None)
 API_URL = "https://api-inference.huggingface.co/models/"
     
-def speech_recognize(audio, model_name):
+def s2t(audio, model_name):
     print(f"Filepath: {audio}")
     with open(audio, "rb") as f:
         data = f.read()
@@ -42,7 +42,7 @@ with gr.Blocks() as demo:
         with gr.Column():
             output = gr.Textbox(label="Transcription results")
 
-    audio.stop_recording(speech_recognize, inputs=[audio, model_name], outputs=[output], concurrency_limit=4)
-    audio.upload(speech_recognize, inputs=[audio, model_name], outputs=[output], concurrency_limit=4)
+    audio.stop_recording(s2t, inputs=[audio, model_name], outputs=[output], concurrency_limit=4)
+    audio.upload(s2t, inputs=[audio, model_name], outputs=[output], concurrency_limit=4)
 
 demo.queue().launch()