Update app.py

app.py

@@ -4,7 +4,7 @@ import gradio as gr
 import pytube as pt
 from transformers import pipeline
 
-MODEL_NAME = "openai/whisper-large-v2"
+MODEL_NAME = "openai/whisper-tiny"
 BATCH_SIZE = 8
 
 device = 0 if torch.cuda.is_available() else "cpu"
@@ -39,7 +39,7 @@ def transcribe(microphone, file_upload, task):
 
     text = pipe(file, batch_size=BATCH_SIZE)["text"]
 
-    return warn_output + text, text
+    return warn_output + text
 
 
 def _return_yt_html_embed(yt_url):
@@ -73,7 +73,7 @@ mf_transcribe = gr.Interface(
         gr.inputs.Audio(source="upload", type="filepath", optional=True),
         gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe"),
     ],
-    outputs=["text",gr.File(label="Download",file_types = "text")],
+    outputs="text",
     layout="horizontal",
     theme="huggingface",
     title="Whisper Large V2: Transcribe Audio",