Spaces:
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commited on
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•
f82013f
1
Parent(s):
90ec86f
asd
Browse files
app.py
CHANGED
@@ -1,6 +1,46 @@
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import gradio as gr
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from share_btn import community_icon_html, loading_icon_html, share_js
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block = gr.Blocks(css="./css.css")
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@@ -11,7 +51,7 @@ with block:
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with gr.Row(elem_id="prompt-container").style(mobile_collapse=False, equal_height=True):
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text = gr.Dropdown(
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label="Star Sign",
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choices=["leo", "scorpio", "
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show_label=True,
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max_lines=1,
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placeholder="Enter your prompt",
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@@ -45,6 +85,7 @@ with block:
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interactive=False,
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label="Generated images", show_label=False, elem_id="gallery"
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).style(grid=[2], height="auto")
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with gr.Group(elem_id="container-advanced-btns"):
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with gr.Group(elem_id="share-btn-container"):
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@@ -52,6 +93,7 @@ with block:
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loading_icon = gr.HTML(loading_icon_html)
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share_button = gr.Button("Share to community", elem_id="share-btn")
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share_button.click(
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None,
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[],
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import gradio as gr
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from share_btn import community_icon_html, loading_icon_html, share_js
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import random
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import re
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import torch
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from transformers import AutoModelWithLMHead, AutoTokenizer, pipeline, set_seed
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import gradio as grad
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from diffusers import StableDiffusionPipeline
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def fn(sign, cat):
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category = "career"
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sign = "scorpio"
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prompt = f"<|category|> {cat} <|horoscope|> {sign}"
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tokenizer = AutoTokenizer.from_pretrained("shahp7575/gpt2-horoscopes")
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model = AutoModelWithLMHead.from_pretrained("shahp7575/gpt2-horoscopes")
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prompt_encoded = torch.tensor(tokenizer.encode(prompt)).unsqueeze(0)
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sample_outputs = model.generate(
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prompt_encoded,
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do_sample=True,
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top_k=40,
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max_length=300,
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top_p=0.95,
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temperature=0.95,
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num_beams=4,
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num_return_sequences=4,
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)
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final_out = tokenizer.decode(sample_outputs[0], skip_special_tokens=True)
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starting_text = " ".join(final_out.split(" ")[4:])
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pipe = pipeline("text-generation", model="Gustavosta/MagicPrompt-Stable-Diffusion", tokenizer="gpt2")
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seed = random.randint(100, 1000000)
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set_seed(seed)
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response = pipe(starting_text, max_length=(len(starting_text) + random.randint(60, 90)), num_return_sequences=1)
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pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4")
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image = pipe(response[0]["generated_text"], num_inference_steps=5).images[0]
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return [image, starting_text]
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block = gr.Blocks(css="./css.css")
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with gr.Row(elem_id="prompt-container").style(mobile_collapse=False, equal_height=True):
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text = gr.Dropdown(
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label="Star Sign",
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choices=["aries", "taurus","gemini", "cancer", "leo", "virgo", "libra", "scorpio", "sagittarius", "capricorn", "aquarius", "Pisces"],
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show_label=True,
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max_lines=1,
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placeholder="Enter your prompt",
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interactive=False,
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label="Generated images", show_label=False, elem_id="gallery"
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).style(grid=[2], height="auto")
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text = gr.Textbox("Text")
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with gr.Group(elem_id="container-advanced-btns"):
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with gr.Group(elem_id="share-btn-container"):
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loading_icon = gr.HTML(loading_icon_html)
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share_button = gr.Button("Share to community", elem_id="share-btn")
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btn.click(fn=fn, inputs=[text, text2], outputs=[gallery, text])
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share_button.click(
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None,
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[],
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