Eachan Johnson commited on
Commit
69a6087
·
1 Parent(s): 55dea1b

Wrap column headers

Browse files
Files changed (1) hide show
  1. app.py +3 -4
app.py CHANGED
@@ -163,10 +163,10 @@ def _prediction_loop(
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  cache=CACHE,
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  ).with_format("numpy")["__prediction__"].flatten()
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  print(prediction)
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- this_col = f"{species}: predicted MIC (µM)"
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  df[this_col] = np.power(10., -prediction) * 1e6
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  prediction_cols.append(this_col)
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- this_col = f"{species}: predicted MIC (µg / mL)"
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  df[this_col] = np.power(10., -prediction) * 1e3 * df["mwt"]
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  prediction_cols.append(this_col)
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@@ -175,7 +175,7 @@ def _prediction_loop(
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  print_err(message)
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  gr.Info(message, duration=10)
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  # this_modelbox._input_training_data = this_modelbox._input_training_data.remove_columns([this_modelbox._in_key])
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- this_col = f"{species}: {extra_metric}"
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  prediction_cols.append(this_col)
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  print(">>>", this_modelbox._input_training_data)
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  print(">>>", this_modelbox._input_training_data.format)
@@ -513,7 +513,6 @@ def _initial_setup():
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  output_line = gr.DataFrame(
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  label="Predictions (scroll left and right)",
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  interactive=False,
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- max_chars=75,
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  pinned_columns=3,
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  visible=True,
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  )
 
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  cache=CACHE,
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  ).with_format("numpy")["__prediction__"].flatten()
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  print(prediction)
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+ this_col = f"{species}:\npredicted MIC (µM)"
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  df[this_col] = np.power(10., -prediction) * 1e6
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  prediction_cols.append(this_col)
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+ this_col = f"{species}:\npredicted MIC (µg / mL)"
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  df[this_col] = np.power(10., -prediction) * 1e3 * df["mwt"]
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  prediction_cols.append(this_col)
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  print_err(message)
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  gr.Info(message, duration=10)
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  # this_modelbox._input_training_data = this_modelbox._input_training_data.remove_columns([this_modelbox._in_key])
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+ this_col = f"{species}:\n{extra_metric}"
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  prediction_cols.append(this_col)
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  print(">>>", this_modelbox._input_training_data)
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  print(">>>", this_modelbox._input_training_data.format)
 
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  output_line = gr.DataFrame(
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  label="Predictions (scroll left and right)",
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  interactive=False,
 
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  pinned_columns=3,
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  visible=True,
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  )