Update app.py

app.py

@@ -25,7 +25,7 @@ pipe = pipeline(
 
 def transcribe(inputs, task):
     if inputs is None:
-        raise gr.Error("Fayl yuklanmadi.")
+        raise gr.Error("No audio file submitted! Please upload or record an audio file before submitting your request.")
 
     text = pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs={"task": task}, return_timestamps=True)["text"]
     return  text
@@ -41,29 +41,29 @@ def _return_yt_html_embed(yt_url):
 
 def download_yt_audio(yt_url, filename):
     info_loader = youtube_dl.YoutubeDL()
-
+    
     try:
         info = info_loader.extract_info(yt_url, download=False)
     except youtube_dl.utils.DownloadError as err:
         raise gr.Error(str(err))
-
+    
     file_length = info["duration_string"]
     file_h_m_s = file_length.split(":")
     file_h_m_s = [int(sub_length) for sub_length in file_h_m_s]
-
+    
     if len(file_h_m_s) == 1:
         file_h_m_s.insert(0, 0)
     if len(file_h_m_s) == 2:
         file_h_m_s.insert(0, 0)
     file_length_s = file_h_m_s[0] * 3600 + file_h_m_s[1] * 60 + file_h_m_s[2]
-
+    
     if file_length_s > YT_LENGTH_LIMIT_S:
         yt_length_limit_hms = time.strftime("%HH:%MM:%SS", time.gmtime(YT_LENGTH_LIMIT_S))
         file_length_hms = time.strftime("%HH:%MM:%SS", time.gmtime(file_length_s))
-        raise gr.Error(f"Youtube video limit {yt_length_limit_hms}, bu video uzunligi {file_length_hms}.")
-
+        raise gr.Error(f"Maximum YouTube length is {yt_length_limit_hms}, got {file_length_hms} YouTube video.")
+    
     ydl_opts = {"outtmpl": filename, "format": "worstvideo[ext=mp4]+bestaudio[ext=m4a]/best[ext=mp4]/best"}
-
+    
     with youtube_dl.YoutubeDL(ydl_opts) as ydl:
         try:
             ydl.download([yt_url])
@@ -99,40 +99,46 @@ mf_transcribe = gr.Interface(
     outputs="text",
     layout="horizontal",
     theme="huggingface",
-    title="Whisper Large V3 - O'zbek tili",
-    description="",
+    title="Whisper Large V3: Transcribe Audio",
+    description=(
+        "Whisper Large V3 fine-tuned for Uzbek language by Dataprizma"
+    ),
     allow_flagging="never",
 )
 
 file_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
-        gr.inputs.Audio(source="upload", type="filepath", optional=True, label="Audio fayl"),
+        gr.inputs.Audio(source="upload", type="filepath", optional=True, label="Audio file"),
         gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe"),
     ],
     outputs="text",
     layout="horizontal",
     theme="huggingface",
-    title="Whisper Large V3 - O'zbek tili",
-    description="",
+    title="Whisper Large V3: Transcribe Audio",
+    description=(
+        "Whisper Large V3 fine-tuned for Uzbek language by Dataprizma"
+    ),
     allow_flagging="never",
 )
 
 yt_transcribe = gr.Interface(
     fn=yt_transcribe,
     inputs=[
-        gr.inputs.Textbox(lines=1, placeholder="Youtbe video linkini tashlang", label="YouTube URL"),
+        gr.inputs.Textbox(lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL"),
         gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe")
     ],
     outputs=["html", "text"],
     layout="horizontal",
     theme="huggingface",
-    title="Whisper Large V3 - O'zbek tili",
-    description="",
+    title="Whisper Large V3: Transcribe YouTube",
+    description=(
+        "Whisper Large V3 fine-tuned for Uzbek language by Dataprizma"
+    ),
     allow_flagging="never",
 )
 
 with demo:
-    gr.TabbedInterface([mf_transcribe, file_transcribe, yt_transcribe], ["Mikrofon", "Audio fayl", "YouTube"])
+    gr.TabbedInterface([mf_transcribe, file_transcribe, yt_transcribe], ["Microphone", "Audio file", "YouTube"])
 
 demo.launch(enable_queue=True)