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Update app.py
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app.py
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@@ -5,6 +5,13 @@ import os
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import spacy
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from spacy import displacy
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model_name = "PleIAs/OCRonos-Vintage"
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model = GPT2LMHeadModel.from_pretrained(model_name)
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tokenizer = GPT2Tokenizer.from_pretrained(model_name)
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with gr.Blocks(theme=gr.themes.Base()) as iface:
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gr.Markdown(
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# Historical Text Generator with Dependency Parse
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This app generates historical-style text using the OCRonos-Vintage model.
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You can customize the generation parameters using the sliders and visualize the tokenized output and dependency parse.
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""")
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prompt = gr.Textbox(label="Add a passage in the style of historical texts", placeholder="Hi there my name is Tonic and I ride my bicycle along the river Seine:", lines=3)
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import spacy
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from spacy import displacy
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title = """
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# 🙋🏻♂️Welcome to 🌟Tonic's 🎅🏻⌚OCRonos Vintage Text Gen
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This app generates historical-style text using the OCRonos-Vintage model. You can customize the generation parameters using the sliders and visualize the tokenized output and dependency parse. You can see a tokenized visualisation of the output and your input, and learn english using the visualization for the output text!
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### Join us :
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🌟TeamTonic🌟 is always making cool demos! Join our active builder's 🛠️community 👻 [](https://discord.gg/qdfnvSPcqP) On 🤗Huggingface:[MultiTransformer](https://huggingface.co/MultiTransformer) On 🌐Github: [Tonic-AI](https://github.com/tonic-ai) & contribute to🌟 [Build Tonic](https://git.tonic-ai.com/contribute)🤗Big thanks to Yuvi Sharma and all the folks at huggingface for the community grant 🤗
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"""
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model_name = "PleIAs/OCRonos-Vintage"
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model = GPT2LMHeadModel.from_pretrained(model_name)
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tokenizer = GPT2Tokenizer.from_pretrained(model_name)
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with gr.Blocks(theme=gr.themes.Base()) as iface:
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gr.Markdown(title)
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prompt = gr.Textbox(label="Add a passage in the style of historical texts", placeholder="Hi there my name is Tonic and I ride my bicycle along the river Seine:", lines=3)
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