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84b6163
1
Parent(s):
fc2fabe
stable diff no testing
Browse files- app.py +75 -0
- requirements.txt +7 -0
app.py
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import gradio as gr
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import os
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import openai
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from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
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import torch
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model_id = "stabilityai/stable-diffusion-2-1"
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
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pipe = pipe.to("cuda")
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openai.api_key = os.getenv("OPENAI_API_KEY")
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def generate_prompt(radio,word1,word2):
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#prompt = 'Create an analogy for this phrase:\n\n{word1}'
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# 50/50 in that/because
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# pluralize singluar words
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if radio == "normal":
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prompt_in = f'Create an analogy for this phrase:\n\n{word1} is like {word2} in that:'
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else:
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prompt_in = f'Create a {radio} analogy for this phrase:\n\n{word1} is like {word2} in that:'
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response = openai.Completion.create(
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model="text-davinci-003",
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prompt=prompt_in,
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temperature=0.5,
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max_tokens=60,
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top_p=1.0,
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frequency_penalty=0.0,
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presence_penalty=0.0
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)['choices'][0]['text']
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response_txt = response.replace('\n','')
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diffusion_in = f'a dramatic painting of: {response_txt.split(".")[0]}'
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image = pipe(diffusion_in).images[0]
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return response_txt, image
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examples = [
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["The Moon's orbit around Earth has"],
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["The smooth Borealis basin in the Northern Hemisphere covers 40%"],
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]
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demo = gr.Interface(
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generate_prompt,
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[
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gr.Radio(["normal", "dramatic", "joke"],value='normal',label="Flavor"),
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gr.Textbox(label="Word 1"),
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gr.Textbox(label="Word 2")
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# gr.Dropdown(team_list, value=[team_list[random.randint(1,30)]], multiselect=True),
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# gr.Checkbox(label="Is it the morning?"),
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],
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"text",
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"image",
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allow_flagging="never",
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title="GPT-3 Analogy Lab 🧪",
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description="foo tested",
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css="footer {visibility: hidden}"
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)
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demo.launch()
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#openai.api_key = os.getenv("OPENAI_API_KEY")
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# openai.api_key = "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"
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# response = openai.Completion.create(
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# model="text-davinci-003",
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# prompt="Create an analogy for this phrase:\n\nQuestions are arrows in that:",
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# temperature=0.5,
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# max_tokens=60,
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# top_p=1.0,
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# frequency_penalty=0.0,
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# presence_penalty=0.0
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# )
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requirements.txt
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@@ -0,0 +1,7 @@
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+
openai
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+
diffusers
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transformers
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accelerate
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scipy
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safetensors
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