Scezui commited on
Commit
26e04be
1 Parent(s): c5db14b
Files changed (1) hide show
  1. app.py +38 -38
app.py CHANGED
@@ -145,46 +145,46 @@ def predict_files(filenames):
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  image_paths = eval(filenames) # Convert the filenames string back to a list
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  for filename in image_paths:
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- file_path = os.path.join(app.config['UPLOAD_FOLDER'], filename)
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- folder_path = UPLOAD_FOLDER
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- destination_folder = r'static/temp/img_display'
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- if not os.path.exists(destination_folder):
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- os.makedirs(destination_folder)
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-
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- # Get a list of all files in the source folder
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- files = os.listdir(folder_path)
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-
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- # Loop through each file and copy it to the destination folder
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- for file in files:
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- # Construct the full path of the source file
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- source_file_path = os.path.join(folder_path, file)
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-
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- # Construct the full path of the destination file
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- destination_file_path = os.path.join(destination_folder, file)
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-
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- # Copy the file to the destination folder
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- shutil.copy(source_file_path, destination_file_path)
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- if os.path.exists(file_path):
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- # Call make_predictions automatically
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- prediction_result = make_predictions([file_path])
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- if isinstance(prediction_result, list) and len(prediction_result) > 0:
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- prediction_results.append(prediction_result[0]) # Append only the first prediction result
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- else:
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- print(f"Error making prediction for {file}: {prediction_result}")
 
 
 
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  prediction_results.append(prediction_result[0]) # Append only the first prediction result
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- prediction_results_copy = copy.deepcopy(prediction_results)
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-
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- non_receipt_indices = []
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- for i, prediction in enumerate(prediction_results):
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- if prediction == 'non-receipt':
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- non_receipt_indices.append(i)
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-
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- # Delete images in reverse order to avoid index shifting
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- for index in non_receipt_indices[::-1]:
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- file_to_remove = os.path.join('static', 'temp', 'uploads', image_paths[index])
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- if os.path.exists(file_to_remove):
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- os.remove(file_to_remove)
 
 
 
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  return render_template('extractor.html', index_url=index_url, image_paths=image_paths, prediction_results = prediction_results, predictions=dict(zip(image_paths, prediction_results_copy)))
 
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  image_paths = eval(filenames) # Convert the filenames string back to a list
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  for filename in image_paths:
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+ file_path = os.path.join(app.config['UPLOAD_FOLDER'], filename)
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+ folder_path = UPLOAD_FOLDER
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+ destination_folder = r'static/temp/img_display'
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+ if not os.path.exists(destination_folder):
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+ os.makedirs(destination_folder)
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+
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+ # Get a list of all files in the source folder
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+ files = os.listdir(folder_path)
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+
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+ # Loop through each file and copy it to the destination folder
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+ for file in files:
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+ # Construct the full path of the source file
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+ source_file_path = os.path.join(folder_path, file)
 
 
 
 
 
 
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+ # Construct the full path of the destination file
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+ destination_file_path = os.path.join(destination_folder, file)
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+
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+ # Copy the file to the destination folder
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+ shutil.copy(source_file_path, destination_file_path)
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+
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+ if os.path.exists(file_path):
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+ # Call make_predictions automatically
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+ prediction_result = make_predictions([file_path])
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+ if isinstance(prediction_result, list) and len(prediction_result) > 0:
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  prediction_results.append(prediction_result[0]) # Append only the first prediction result
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+ else:
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+ print(f"Error making prediction for {file}: {prediction_result}")
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+
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+ prediction_results_copy = copy.deepcopy(prediction_results)
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+
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+ non_receipt_indices = []
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+ for i, prediction in enumerate(prediction_results):
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+ if prediction == 'non-receipt':
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+ non_receipt_indices.append(i)
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+
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+ # Delete images in reverse order to avoid index shifting
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+ for index in non_receipt_indices[::-1]:
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+ file_to_remove = os.path.join('static', 'temp', 'uploads', image_paths[index])
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+ if os.path.exists(file_to_remove):
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+ os.remove(file_to_remove)
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  return render_template('extractor.html', index_url=index_url, image_paths=image_paths, prediction_results = prediction_results, predictions=dict(zip(image_paths, prediction_results_copy)))