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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def create_dicts(data):
 """ Modified from Keras LSTM example"""

    chars = set()
    for sample in data:
        chars.update(set(sample))
    char_indices = dict((c, i) for i, c in enumerate(chars))
    indices_char = dict((i, c) for i, c in enumerate(chars))
    return char_indices, indices_char