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import re
import gradio as gr
from transformers import pipeline
# Set up the generatove model transformer pipeline
generator = pipeline("text-generation", model="gpt2")
# A sequence of lines both those typed in and the line so far
# when save is clicked the txt file is downloaded
source_lines = []
generated_lines = []
def twolists(list1, list2):
newlist = []
a1 = len(list1)
a2 = len(list2)
for i in range(max(a1, a2)):
if i < a1:
newlist.append(list1[i])
if i < a2:
newlist.append(list2[i])
return newlist
def build_poem(source_lines, generated_lines):
# This function structures the space already, set boundarys to the possible.
# return a list with the two lists interspersed
return twolists(source_lines, generated_lines)
def add_to_lines(new_line):
source_lines.append(new_line)
# NOTE: pass the whole array of lines to the generator
# There is a compounding of the effect, a spiral of interaction.
poem = build_poem(source_lines, generated_lines)
# pass the last two lines of the poem
prompt = "\n".join(poem[-2:])
result = generator(prompt, max_length=50, num_return_sequences=3)
response = result[0]["generated_text"]
# Get only the new generated text
response = response.replace(prompt, "")
generated_lines.append(response)
lines = []
for line in build_poem(source_lines, generated_lines):
if (len(lines) % 2) == 1:
line = f"<p style='text-align: right;'>{line}</p>"
else:
line = f"<p>{line}</p>"
lines.append(line)
html = "".join(lines)
return html
demo = gr.Interface(
fn=add_to_lines,
inputs=gr.Textbox(
lines=1,
value="The drought had lasted now for ten million years, and the reign of the terrible lizards had long since ended.",
),
outputs="html",
allow_flagging="never",
)
if __name__ == "__main__":
demo.launch()
def downloadtext():
# somehow print the values from the list
pass
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