whisper-large-v3-turbo

Running on Zero

reach-vb HF staff commited on 4 days ago

Commit

17f14b2

•

1 Parent(s): 4ecd171

Update app.py (#3)

Files changed (1) hide show

app.py CHANGED Viewed

@@ -9,7 +9,7 @@ from transformers.pipelines.audio_utils import ffmpeg_read
 import tempfile
 import os
-MODEL_NAME = "ylacombe/tmp_whs"
 BATCH_SIZE = 8
 FILE_LIMIT_MB = 1000
 YT_LENGTH_LIMIT_S = 3600 # limit to 1 hour YouTube files
@@ -99,7 +99,7 @@ mf_transcribe = gr.Interface(
  gr.Radio(["transcribe", "translate"], label="Task", value="transcribe"),
  ],
  outputs="text",
- title="Whisper Large V3: Transcribe Audio",
  description=(
  "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the"
  f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"

 import tempfile
 import os
+MODEL_NAME = "ylacombe/whisper-large-v3-turbo"
 BATCH_SIZE = 8
 FILE_LIMIT_MB = 1000
 YT_LENGTH_LIMIT_S = 3600 # limit to 1 hour YouTube files
  gr.Radio(["transcribe", "translate"], label="Task", value="transcribe"),
  ],
  outputs="text",
+ title="Whisper Large V3 Turbo: Transcribe Audio",
  description=(
  "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the"
  f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"