khalidey HopeLiang commited on
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7069d5c
1 Parent(s): 4f2811e

Upload app.py (#1)

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- Upload app.py (d78f3c8d712a0d74d02c965236c7c18d39f70015)


Co-authored-by: Xinyu Liang <HopeLiang@users.noreply.huggingface.co>

Files changed (1) hide show
  1. app.py +9 -3
app.py CHANGED
@@ -1,16 +1,22 @@
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  from transformers import pipeline
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  import gradio as gr
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- pipe = pipeline(model="khalidey/ID2223_Lab2_Whisper_SV") # change to "your-username/the-name-you-picked"
 
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  def transcribe(audio):
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- text = pipe(audio)["text"]
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  return text
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  iface = gr.Interface(
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  fn=transcribe,
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  inputs=gr.Audio(source="microphone", type="filepath"),
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- outputs="text",
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  title="Whisper Small Swedish",
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  description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.",
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  )
 
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  from transformers import pipeline
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  import gradio as gr
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+ pipe1 = pipeline(model="khalidey/ID2223_Lab2_Whisper_SV") # change to "your-username/the-name-you-picked"
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+ pipe2 = pipeline('text-generation', model='birgermoell/swedish-gpt')
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  def transcribe(audio):
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+ text = pipe1(audio)["text"]
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  return text
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+ def generateText(audio):
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+ text = pipe1(audio)["text"]
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+ generated_text = pipe2(text, max_length = 30, num_return_sequences=1)['generated_text']
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+ return generated_text
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+
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  iface = gr.Interface(
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  fn=transcribe,
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  inputs=gr.Audio(source="microphone", type="filepath"),
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+ outputs=["text","generated_text"],
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  title="Whisper Small Swedish",
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  description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.",
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  )