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import numpy as np
import gradio as gr
import openai
import os
def generateStory(theme1, theme2):
openai.api_key = OPENAI_KEY
prompt_text = "Write a children's story about \"{}\" and \"{}\".".format(theme1,theme2)
response = openai.Completion.create(
engine="text-davinci-003",
prompt=prompt_text,
temperature=0.7,
max_tokens=600,
top_p=1,
frequency_penalty=0,
presence_penalty=0
)
story = response["choices"][0]["text"]
content_to_classify = "Your content here"
response = openai.Completion.create(
model="content-filter-alpha",
prompt = "<|endoftext|>"+story+"\n--\nLabel:",
temperature=0,
max_tokens=1,
top_p=0,
logprobs=10
)
output_label = response["choices"][0]["text"]
# This is the probability at which we evaluate that a "2" is likely real
# vs. should be discarded as a false positive
toxic_threshold = -0.355
if output_label == "2":
story='Please generate again'
if story.startswith('\n\n'):
story = story[2:]
return story
def illustratedStory(story):
if story != 'Please generate again':
illustration_response = openai.Completion.create(
model="text-davinci-002",
prompt="Write a visual description of an illustration that could accompany the following story: '{}'".format(story),
temperature=0.7,
max_tokens=256,
top_p=1,
frequency_penalty=0,
presence_penalty=0
)
image_prompt = illustration_response["choices"][0]["text"]
print(image_prompt)
response = openai.Image.create(
prompt="A cartoon of: " + image_prompt,
n=1,
size="1024x1024"
)
image_url = response['data'][0]['url']
else:
image = np.zeros([100,100,3],dtype=np.uint8)
image.fill(255) # or img[:] = 255
return image_url
def continueStory(inputStory):
openai.api_key = OPENAI_KEY
prompt_text = inputStory
response = openai.Completion.create(
engine="text-davinci-002",
prompt=prompt_text,
temperature=0.7,
max_tokens=250,
top_p=1,
frequency_penalty=0,
presence_penalty=0
)
story = response["choices"][0]["text"]
content_to_classify = "Your content here"
response = openai.Completion.create(
model="content-filter-alpha",
prompt = "<|endoftext|>"+story+"\n--\nLabel:",
temperature=0,
max_tokens=1,
top_p=0,
logprobs=10
)
output_label = response["choices"][0]["text"]
# This is the probability at which we evaluate that a "2" is likely real
# vs. should be discarded as a false positive
toxic_threshold = -0.355
if output_label == "2":
story='Please generate again'
if story.startswith('\n\n'):
story = story[2:]
return inputStory + story
def downloadStory(story):
with open("output.txt", "a") as f:
print("Hello stackoverflow!", file=f)
print("I have a question.", file=f)
'''
demo = gr.Interface(
fn=themes,
inputs=["text", "text"],
outputs=["text", "image"],
)
demo.launch()
'''
with gr.Blocks(css='''
.h1 {
font-family: HK Grotesk;
font-style: normal;
font-weight: bold;
font-size: 100px;
line-height: 105%;
margin: 0;
}
''') as demo:
title = gr.HTML(
"""
<div style="text-align: center; margin: 0;">
<div style="
display: inline-flex;
align-items: center;
gap: 0.8rem;
font-size: 1.75rem;
">
<h1 style="font-weight: 900; margin-bottom: 7px;">
Infinite Stories
</h1>
</div>
<p style="margin-bottom: 10px; font-size: 94%;">
</p>
<br>
<p style="font-size: 70%;>Generate the beginning of a story by writing two themes, then edit, add to it, extend it and illustrate it! </p>
</div>
""")
with gr.Row():
theme1 = gr.Textbox(label='Theme 1', elem_id = 'theme')
theme2 = gr.Textbox(label='Theme 2', elem_id = 'theme')
b1 = gr.Button("Generate starting paragraph", elem_id="generate-btn")
story_output = gr.Textbox(label='Story (pro tip: you can edit this! Shift + enter for a new line)')
with gr.Row():
b3 = gr.Button("Continue Story", elem_id="continue-btn")
b2 = gr.Button("Illustrate Story", elem_id="illustrated-btn")
with gr.Row():
illustration = gr.Image(label='Illustration')
gr.HTML('<div style="text-align: center; max-width: 650px; margin: 0 auto;"><p style="margin-bottom: 10px; font-size: 94%;">Compute credits are expensive. Please help me keep this experiment running by buying me a coffee <a href="https://www.buymeacoffee.com/jrodolfoocG"> <u><b>here</u></b> :) </a></p></div><br>')
gr.HTML('<div style="text-align: center; max-width: 650px; margin: 0 auto;"><p style="margin-bottom: 10px; font-size: 70%;">Built with GPT-3, Stable Diffusion, the Diffusers library and Gradio, by <a href="https://research.rodolfoocampo.com"><u><b>Rodolfo Ocampo</u></b></a></p></div>')
b1.click(generateStory, inputs=[theme1,theme2], outputs=[story_output])
b2.click(illustratedStory, inputs=[story_output], outputs=[illustration])
b3.click(continueStory, inputs=[story_output], outputs=[story_output])
demo.launch(debug=True, share=True) |