lm_infer.py

# generate a sequence of characters with a language model
def generate_seq(model, mapping, seq_length, seed_text, n_chars):
	in_text = seed_text
	# generate a fixed number of characters
	for _ in range(n_chars):
		# encode the characters as integers
		encoded = [mapping[char] for char in in_text]
		# truncate sequences to a fixed length
		encoded = pad_sequences([encoded], maxlen=seq_length, truncating='pre')
		# predict character
		yhat = model.predict_classes(encoded, verbose=0)
		# reverse map integer to character
		out_char = ''
		for char, index in mapping.items():
			if index == yhat:
				out_char = char
				break
		# append to input
		in_text += char
	return in_text

how to execute it

can u give some examples for the above model. In the analytics vidya is was mentioned example will be given but the space is blank.
A sample input for the above function will be very helpful.

can u give some examples for the above model. In the analytics vidya is was mentioned example will be given but the space is blank.
A sample input for the above function will be very helpful.

same here!