Streamlit has an error with multiple table download buttons

#2
by shamikbose89 - opened
Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -381,7 +381,7 @@ class TableExtractionPipeline():
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  return df.to_csv().encode('utf-8')
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- def create_dataframe(self, c3, cells_pytess_result:list, max_cols:int, max_rows:int):
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  '''Create dataframe using list of cell values of the table, also checks for valid header of dataframe
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  Args:
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  cells_pytess_result: list of strings, each element representing a cell in a table
@@ -419,7 +419,7 @@ class TableExtractionPipeline():
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  c3.dataframe(df)
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  csv = self.convert_df(df)
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- c3.download_button("Download table", csv, "file.csv", "text/csv", key='download-csv')
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  return df
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@@ -447,7 +447,7 @@ class TableExtractionPipeline():
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  self.plot_results_detection(c1, model, image, probas, bboxes_scaled, delta_xmin, delta_ymin, delta_xmax, delta_ymax)
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  cropped_img_list = self.crop_tables(image, probas, bboxes_scaled, delta_xmin, delta_ymin, delta_xmax, delta_ymax)
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- for unpadded_table in cropped_img_list:
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  table = self.add_padding(unpadded_table, padd_top, padd_right, padd_bottom, padd_left)
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  # table = super_res(table)
@@ -477,7 +477,7 @@ class TableExtractionPipeline():
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  cells_pytess_result = await asyncio.gather(*sequential_cell_img_list)
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- self.create_dataframe(c3, cells_pytess_result, max_cols, max_rows)
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  st.write('Errors in OCR is due to either quality of the image or performance of the OCR')
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  # except:
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  # st.write('Either incorrectly identified table or no table, to debug remove try/except')
 
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  return df.to_csv().encode('utf-8')
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+ def create_dataframe(self, c3, cells_pytess_result:list, max_cols:int, max_rows:int, table_num: int):
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  '''Create dataframe using list of cell values of the table, also checks for valid header of dataframe
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  Args:
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  cells_pytess_result: list of strings, each element representing a cell in a table
 
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  c3.dataframe(df)
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  csv = self.convert_df(df)
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+ c3.download_button("Download table", csv, "file.csv", "text/csv", key=f'download-csv-{table_num}')
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  return df
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  self.plot_results_detection(c1, model, image, probas, bboxes_scaled, delta_xmin, delta_ymin, delta_xmax, delta_ymax)
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  cropped_img_list = self.crop_tables(image, probas, bboxes_scaled, delta_xmin, delta_ymin, delta_xmax, delta_ymax)
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+ for table_num, unpadded_table in enumerate(cropped_img_list):
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  table = self.add_padding(unpadded_table, padd_top, padd_right, padd_bottom, padd_left)
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  # table = super_res(table)
 
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  cells_pytess_result = await asyncio.gather(*sequential_cell_img_list)
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+ self.create_dataframe(c3, cells_pytess_result, max_cols, max_rows, table_num)
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  st.write('Errors in OCR is due to either quality of the image or performance of the OCR')
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  # except:
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  # st.write('Either incorrectly identified table or no table, to debug remove try/except')