Update app.py

app.py

@@ -5,7 +5,7 @@ import pytube as pt
 from transformers import pipeline
 from huggingface_hub import model_info
 
-MODEL_NAME = "openai/whisper-medium" 
+MODEL_NAME = "openai/whisper-small" #this always needs to stay in line 8 :D sorry for the hackiness
 lang = "en"
 
 device = 0 if torch.cuda.is_available() else "cpu"
@@ -66,10 +66,12 @@ mf_transcribe = gr.Interface(
     ],
     outputs="text",
     layout="horizontal",
-    theme='abidlabs/pakistan',
-    title="Speech To Text Translation ",
+    theme="huggingface",
+    title="Whisper Demo: Transcribe Audio",
     description=(
-        "Transcribe long-form microphone or audio inputs with the click of a button!"
+        "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the the fine-tuned"
+        f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
+        " of arbitrary length."
     ),
     allow_flagging="never",
 )
@@ -79,10 +81,12 @@ yt_transcribe = gr.Interface(
     inputs=[gr.inputs.Textbox(lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL")],
     outputs=["html", "text"],
     layout="horizontal",
-    theme='abidlabs/pakistan',
-    title="Speech To Text Transcribe YouTube",
+    theme="huggingface",
+    title="Whisper Demo: Transcribe YouTube",
     description=(
-        "Transcribe long-form YouTube videos with the click of a button!"
+        "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."
     ),
     allow_flagging="never",
 )