changed description, added ko-fi link, removed deprecated gradio parameters

app.py

@@ -22,12 +22,12 @@ def transcribe(microphone, file_upload):
     warn_output = ""
     if (microphone is not None) and (file_upload is not None):
         warn_output = (
-            "WARNING: You've uploaded an audio file and used the microphone. "
-            "The recorded file from the microphone will be used and the uploaded audio will be discarded.\n"
+            "ATTENZIONE: Hai caricato un file audio e anche registrato col microfono. "
+            "Verrà trascritta la registrazione dal microfono, mentre il file audio verrà cancellato. \n"
         )
 
     elif (microphone is None) and (file_upload is None):
-        return "ERROR: You have to either use the microphone or upload an audio file"
+        return "ERRORE: Devi caricare un file audio oppure registrare con il microfono."
 
     file = microphone if microphone is not None else file_upload
 
@@ -58,40 +58,44 @@ def yt_transcribe(yt_url):
 
 demo = gr.Blocks()
 
+text_output = gr.Textbox(show_label=True)
+text_output.style(show_copy_button=True)
+
 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),
+        gr.inputs.Audio(source="microphone", type="filepath"),
+        gr.inputs.Audio(source="upload", type="filepath"),
     ],
-    outputs="text",
-    layout="horizontal",
-    theme="huggingface",
-    title="Fine-Tuned Whisper Demo: Transcribe Italian Audio 🇮🇹",
+    outputs=text_output,
+    title="Trascrivi Audio",
     description=(
-        "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the fine-tuned"
-        f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
-        " of arbitrary length."
+        "Trascrivi l'input da microfono o file audio con un click!\n"
+        "L'inference su scheda grafica riduce i tempi di circa 10 volte, " 
+        "per coprire le spese puoi offrirmi un caffe ☕️[qui](https://ko-fi.com/marcobuiani)"
+        "Questa demo usa una versione di Whisper ottimizzata per l'Italiano da " f"[EdoAbati](https://huggingface.co/{MODEL_NAME})"
     ),
     allow_flagging="never",
 )
 
+text_output_yt = gr.Textbox(show_label=True)
+text_output_yt.style(show_copy_button=True)
+
 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")],
-    outputs=["html", "text"],
-    layout="horizontal",
-    theme="huggingface",
-    title="Fine-Tuned Whisper Demo: Transcribe Italian YouTube video 🇮🇹",
+    inputs=[gr.inputs.Textbox(lines=1, placeholder="Incolla qui il link di un video YouTube", label="YouTube link")],
+    outputs=["html", text_output_yt],
+    title="Trascrivi Video YouTube",
     description=(
-        "Transcribe long-form YouTube videos with the click of a button! Demo uses the the fine-tuned checkpoint:"
-        f" [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files of"
-        " arbitrary length."
+        "Trascrivi un video YouTube dal link con un click!\n"
+        "L'inference su scheda grafica riduce i tempi di circa 10 volte, " 
+        "per coprire le spese puoi offrirmi un caffe ☕️[qui](https://ko-fi.com/marcobuiani)"
+        "Questa demo usa una versione di Whisper ottimizzata per l'Italiano da " f"[EdoAbati](https://huggingface.co/{MODEL_NAME})"
     ),
     allow_flagging="never",
 )
 
 with demo:
-    gr.TabbedInterface([mf_transcribe, yt_transcribe], ["Transcribe Audio", "Transcribe YouTube"])
+    gr.TabbedInterface([mf_transcribe, yt_transcribe], ["Trascrivi Audio", "Trascrivi YouTube"])
 
 demo.launch(enable_queue=True)