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Update app.py
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app.py
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@@ -11,7 +11,7 @@ import gradio as gr
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from PIL import Image
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from datasets import load_dataset
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from datasets import DownloadMode, VerificationMode
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from diffusers import
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from pingpong import PingPong
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from pingpong.pingpong import PPManager
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@@ -122,9 +122,15 @@ class GradioLLaMA2ChatPPManager(LLaMA2ChatPPManager):
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TOKEN = os.getenv('HF_TOKEN')
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MODEL_ID = 'meta-llama/Llama-2-70b-chat-hf'
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pipe =
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"
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)
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STYLES = """
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.left-panel {
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@@ -507,7 +513,7 @@ with gr.Blocks(css=STYLES) as demo:
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"This application is designed for you to collaborate with LLM to co-write stories. It is inspired by [Wordcraft project](https://wordcraft-writers-workshop.appspot.com/) from Google's PAIR and Magenta teams. "
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"This application built on [Gradio](https://www.gradio.app), and the underlying text generation is powered by [Hugging Face Inference API](https://huggingface.co/inference-api). The text generation model might"
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"be changed over time, but [meta-llama/Llama-2-70b-chat-hf](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) is selected for now. On the `exporting` tab, you can generate cover art for your story. You can "
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"design your own prompt to generate the cover art, or you can let the LLaMA2 to generate one for you. Currently,
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"used.",
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elem_classes=['center', 'small-big'])
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@@ -574,7 +580,7 @@ with gr.Blocks(css=STYLES) as demo:
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with gr.Tab("Exporting/Sharing"):
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with gr.Column(elem_classes=['group-border']):
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gr.Markdown("generate cover art with [`
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"design your own prompt in the textbox below, or just hit 'generate prompt for cover art` button. LLaMA2 "
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"model will suggest a prompt for you based on your story.")
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from PIL import Image
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from datasets import load_dataset
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from datasets import DownloadMode, VerificationMode
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from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler
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from pingpong import PingPong
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from pingpong.pingpong import PPManager
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TOKEN = os.getenv('HF_TOKEN')
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MODEL_ID = 'meta-llama/Llama-2-70b-chat-hf'
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pipe = DiffusionPipeline.from_pretrained(
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"stabilityai/stable-diffusion-2-base",
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torch_dtype=torch.float16,
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revision="fp16"
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)
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pipe.scheduler = DPMSolverMultistepScheduler.from_config(
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pipe.scheduler.config
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)
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pipe = pipe.to("cuda")
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STYLES = """
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.left-panel {
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"This application is designed for you to collaborate with LLM to co-write stories. It is inspired by [Wordcraft project](https://wordcraft-writers-workshop.appspot.com/) from Google's PAIR and Magenta teams. "
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"This application built on [Gradio](https://www.gradio.app), and the underlying text generation is powered by [Hugging Face Inference API](https://huggingface.co/inference-api). The text generation model might"
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"be changed over time, but [meta-llama/Llama-2-70b-chat-hf](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) is selected for now. On the `exporting` tab, you can generate cover art for your story. You can "
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"design your own prompt to generate the cover art, or you can let the LLaMA2 to generate one for you. Currently, Stable Diffusion 2.1 model `stabilityai/stable-diffusion-2-base` by [Stability AI](https://stability.ai/) is "
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"used.",
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elem_classes=['center', 'small-big'])
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with gr.Tab("Exporting/Sharing"):
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with gr.Column(elem_classes=['group-border']):
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gr.Markdown("generate cover art with [`stabilityai/stable-diffusion-2-base`](https://huggingface.co/stabilityai/stable-diffusion-2-base) model. "
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"design your own prompt in the textbox below, or just hit 'generate prompt for cover art` button. LLaMA2 "
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"model will suggest a prompt for you based on your story.")
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