csukuangfj commited on
Commit
6151cf4
1 Parent(s): 560b439

small fixes

Browse files
Files changed (1) hide show
  1. app.py +50 -0
app.py CHANGED
@@ -22,12 +22,15 @@
22
  import base64
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  import logging
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  import os
 
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  import time
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  from datetime import datetime
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28
  import gradio as gr
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  import torch
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  import torchaudio
 
 
31
 
32
  from examples import examples
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  from model import decode, get_pretrained_model, language_to_models, sample_rate
@@ -61,6 +64,28 @@ def build_html_output(s: str, style: str = "result_item_success"):
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  </div>
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  """
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  def process_uploaded_file(
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  language: str,
@@ -301,6 +326,18 @@ with demo:
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  fn=process_microphone,
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  )
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  upload_button.click(
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  process_uploaded_file,
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  inputs=[
@@ -324,6 +361,19 @@ with demo:
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  ],
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  outputs=[recorded_output, recorded_html_info],
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  )
 
 
 
 
 
 
 
 
 
 
 
 
 
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  gr.Markdown(description)
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  torch.set_num_threads(1)
 
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  import base64
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  import logging
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  import os
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+ import tempfile
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  import time
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  from datetime import datetime
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  import gradio as gr
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  import torch
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  import torchaudio
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+ import urllib.request
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+
34
 
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  from examples import examples
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  from model import decode, get_pretrained_model, language_to_models, sample_rate
 
64
  </div>
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  """
66
 
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+ def process_url(
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+ language: str,
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+ repo_id: str,
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+ decoding_method: str,
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+ num_active_paths: int,
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+ url: str,
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+ ):
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+ logging.info(f"Processing URL: {url}")
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+ with tempfile.TemporaryFile() as f:
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+ try:
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+ urllib.request.urlretrieve(url, f.name)
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+
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+ return process(
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+ in_filename=f.name,
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+ language=language,
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+ repo_id=repo_id,
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+ decoding_method=decoding_method,
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+ num_active_paths=num_active_paths,
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+ )
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+ except Exception as e:
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+ logging.info(str(e))
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+ return "", build_html_output(str(e), "result_item_error")
89
 
90
  def process_uploaded_file(
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  language: str,
 
326
  fn=process_microphone,
327
  )
328
 
329
+ with gr.TabItem("From URL"):
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+ url_textbox = gr.Textbox(
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+ max_lines=1,
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+ placeholder="URL to an audio file",
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+ label="URL",
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+ interactive=True,
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+ )
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+
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+ url_button = gr.Button("Submit for recognition")
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+ url_output = gr.Textbox(label="Recognized speech from URL")
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+ url_html_info = gr.HTML(label="Info")
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+
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  upload_button.click(
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  process_uploaded_file,
343
  inputs=[
 
361
  ],
362
  outputs=[recorded_output, recorded_html_info],
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  )
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+
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+ url_button.click(
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+ process_url,
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+ inputs=[
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+ language_radio,
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+ model_dropdown,
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+ decoding_method_radio,
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+ num_active_paths_slider,
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+ url_textbox,
373
+ ],
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+ outputs=[url_output, url_html_info],
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+ )
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+
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  gr.Markdown(description)
378
 
379
  torch.set_num_threads(1)