Downgrade

README.md

@@ -4,7 +4,7 @@ emoji: 🔥
 colorFrom: pink
 colorTo: yellow
 sdk: gradio
-sdk_version: 5.4.0
+sdk_version: 3.38.0
 app_file: app.py
 pinned: false
 ---

app.py

@@ -18,14 +18,14 @@ device = 0 if torch.cuda.is_available() else "cpu"
 pipe = pipeline(
     task="automatic-speech-recognition",
     model=MODEL_NAME,
-    chunk_length_s=15,
+    chunk_length_s=30,
     device=device,
 )
 
 
 def transcribe(inputs, task):
     if inputs is None:
-        raise gr.Error("Fayl tanlanmadi yoki yuklashad xatolik! Iltimos qaytadan urinib ko'ring.")
+        raise gr.Error("Fayl yuklanmadi.")
 
     text = pipe(inputs, batch_size=BATCH_SIZE, generate_kwargs={"task": task}, return_timestamps=True)["text"]
     return  text
@@ -60,7 +60,7 @@ def download_yt_audio(yt_url, filename):
     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"Maximum YouTube length is {yt_length_limit_hms}, got {file_length_hms} YouTube video.")
+        raise gr.Error(f"Youtube video limit {yt_length_limit_hms}, bu video uzunligi {file_length_hms}.")
 
     ydl_opts = {"outtmpl": filename, "format": "worstvideo[ext=mp4]+bestaudio[ext=m4a]/best[ext=mp4]/best"}
 
@@ -93,52 +93,46 @@ demo = gr.Blocks()
 mf_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
-        gr.Audio(sources=["microphone"], type="filepath"),
-        gr.Radio(["transcribe", "translate"], label="Task", value="transcribe"),
+        gr.inputs.Audio(source="microphone", type="filepath", optional=True),
+        gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe"),
     ],
     outputs="text",
-    title="Whisper Uzbek: Transcribe Audio",
-    description=(
-        "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the OpenAI Whisper"
-        f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
-        " of arbitrary length."
-    ),
-    flagging_mode="never",
+    layout="horizontal",
+    theme="huggingface",
+    title="Whisper Large V3 - O'zbek tili",
+    description="",
+    allow_flagging="never",
 )
 
 file_transcribe = gr.Interface(
     fn=transcribe,
     inputs=[
-        gr.Audio(sources=["upload"], type="filepath", label="Audio file"),
-        gr.Radio(["transcribe", "translate"], label="Task", value="transcribe"),
+        gr.inputs.Audio(source="upload", type="filepath", optional=True, label="Audio fayl"),
+        gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe"),
     ],
     outputs="text",
-    title="Whisper Uzbek: Transcribe Audio",
-    description=(
-        "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the OpenAI Whisper"
-        f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
-        " of arbitrary length."
-    ),
-    flagging_mode="never",
+    layout="horizontal",
+    theme="huggingface",
+    title="Whisper Large V3 - O'zbek tili",
+    description="",
+    allow_flagging="never",
 )
 
 yt_transcribe = gr.Interface(
     fn=yt_transcribe,
     inputs=[
-        gr.Textbox(lines=1, placeholder="Paste the URL to a YouTube video here", label="YouTube URL"),
-        gr.Radio(["transcribe", "translate"], label="Task", value="transcribe")
+        gr.inputs.Textbox(lines=1, placeholder="Youtbe video linkini tashlang", label="YouTube URL"),
+        gr.inputs.Radio(["transcribe", "translate"], label="Task", default="transcribe")
     ],
     outputs=["html", "text"],
-    title="Whisper Uzbek: Transcribe YouTube",
-    description=(
-        "Transcribe long-form YouTube videos with the click of a button! Demo uses the OpenAI Whisper checkpoint"
-        f" [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe video files of"
-        " arbitrary length."
-    ),
-    flagging_mode="never",
+    layout="horizontal",
+    theme="huggingface",
+    title="Whisper Large V3 - O'zbek tili",
+    description="",
+    allow_flagging="never",
 )
 
 with demo:
-    gr.TabbedInterface([mf_transcribe, file_transcribe, yt_transcribe], ["Microphone", "Audio file", "YouTube"])
+    gr.TabbedInterface([mf_transcribe, file_transcribe, yt_transcribe], ["Mikrofon", "Audio fayl", "YouTube"])
 
-demo.launch()
+demo.launch(enable_queue=True)

requirements.txt

@@ -1,3 +1,4 @@
 transformers
 torch
 yt-dlp
+gradio==3.38.0