upd to new gradio version

app.py

@@ -5,7 +5,7 @@ import pytube as pt
 from transformers import pipeline
 from huggingface_hub import model_info
 
-MODEL_NAME = "ales/whisper-small-belarusian" #this always needs to stay in line 8 :D sorry for the hackiness
+MODEL_NAME = "ales/whisper-small-belarusian"  # this always needs to stay in line 8 :D sorry for the hackiness
 lang = "be"
 
 device = 0 if torch.cuda.is_available() else "cpu"
@@ -17,7 +17,10 @@ pipe = pipeline(
     device=device,
 )
 
-pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(language=lang, task="transcribe")
+pipe.model.config.forced_decoder_ids = pipe.tokenizer.get_decoder_prompt_ids(
+    language=lang, task="transcribe"
+)
+
 
 def transcribe(microphone, file_upload):
     warn_output = ""
@@ -61,10 +64,7 @@ demo = gr.Blocks()
 
 mf_transcribe = gr.Interface(
     fn=transcribe,
-    inputs=[
-        gr.inputs.Audio(source="microphone", type="filepath", optional=True),
-        gr.inputs.Audio(source="upload", type="filepath", optional=True),
-    ],
+    inputs=[gr.Audio(sources=["microphone", "upload"], type="filepath", optional=True)],
     outputs="text",
     layout="horizontal",
     theme="huggingface",
@@ -79,7 +79,13 @@ mf_transcribe = gr.Interface(
 
 yt_transcribe = gr.Interface(
     fn=yt_transcribe,
-    inputs=[gr.inputs.Textbox(lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL")],
+    inputs=[
+        gr.Textbox(
+            lines=1,
+            placeholder="Paste the URL to a YouTube video here",
+            label="YouTube URL",
+        )
+    ],
     outputs=["html", "text"],
     layout="horizontal",
     theme="huggingface",
@@ -93,6 +99,8 @@ yt_transcribe = gr.Interface(
 )
 
 with demo:
-    gr.TabbedInterface([mf_transcribe, yt_transcribe], ["Transcribe Audio", "Transcribe YouTube"])
+    gr.TabbedInterface(
+        [mf_transcribe, yt_transcribe], ["Transcribe Audio", "Transcribe YouTube"]
+    )
 
 demo.launch(enable_queue=True)