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Matthew Hollings
commited on
Commit
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6cfc29d
1
Parent(s):
58f30bc
Use only one input line.
Browse files- .gitignore +1 -0
- README.md +19 -3
- app.py +9 -72
.gitignore
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__pycache__
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README.md
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---
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title: Joyous Poetry Generator
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emoji:
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colorFrom: yellow
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colorTo:
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sdk: gradio
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sdk_version: 3.28.0
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app_file: app.py
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pinned:
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license: apache-2.0
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: Joyous Poetry Generator
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emoji: 🌻
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colorFrom: yellow
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colorTo: red
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sdk: gradio
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sdk_version: 3.28.0
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app_file: app.py
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pinned: true
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license: apache-2.0
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---
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# Joyous Poetry Generator
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Some lines to start with:
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Music to hear, why hear'st thou music sadly?
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Sweets with sweets war not, joy delights in joy.
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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## TODO
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- using the original dataset find some poems which include the word "joy"
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- make the suggsted prompts selectable on the page
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app.py
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from transformers import pipeline
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# Set up the generatove model transformer pipeline
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generator = pipeline("text-generation", model="matthh/gpt2-poetry
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# A sequence of lines both those typed in and the line so far
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# when save is clicked the txt file is downloaded
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source_lines = []
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generated_lines = []
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a2 = len(list2)
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for i in range(max(a1, a2)):
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if i < a1:
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newlist.append(list1[i])
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if i < a2:
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newlist.append(list2[i])
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return newlist
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def build_poem(source_lines, generated_lines):
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# This function structures the space already, set boundarys to the possible.
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# return a list with the two lists interspersed
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return twolists(source_lines, generated_lines)
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def add_to_lines(new_line):
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source_lines.append(new_line)
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# NOTE: pass the whole array of lines to the generator
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# There is a compounding of the effect, a spiral of interaction.
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poem = build_poem(source_lines, generated_lines)
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# pass the last two lines of the poem
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prompt = "\n".join(poem[-2:])
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result = generator(prompt, max_length=50, num_return_sequences=3)
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response = result[0]["generated_text"]
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# Get only the new generated text
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response = response.replace(prompt, "")
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generated_lines.append(response)
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lines = []
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for line in build_poem(source_lines, generated_lines):
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if (len(lines) % 2) == 1:
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line = f"<p style='text-align: right;'>{line}</p>"
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else:
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line = f"<p>{line}</p>"
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lines.append(line)
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html = "".join(lines)
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return html
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def reset_all(new_line):
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global source_lines
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global generated_lines
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source_lines = []
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generated_lines = []
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return None
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# demo = gr.Interface(
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# fn=add_to_lines,
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# inputs=gr.Textbox(
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# lines=1,
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# value="The drought had lasted now for ten million years, and the reign of the terrible lizards had long since ended.",
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# ),
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# outputs="html",
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# allow_flagging="never",
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# )
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demo = gr.Blocks()
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with demo:
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with gr.Column():
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input = gr.Textbox(
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lines=1,
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value="
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)
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with gr.Row():
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clear_all_button = gr.Button("Reset
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with gr.Column():
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output = gr.HTML()
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clear_all_button.click(fn=reset_all, inputs=input, outputs=output)
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if __name__ == "__main__":
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from transformers import pipeline
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# Set up the generatove model transformer pipeline
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generator = pipeline("text-generation", model="matthh/gpt2-rlhf-joyous-poetry")
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def generate(prompt):
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result = generator(prompt, max_length=50, num_return_sequences=1)
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print(result)
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return result[0]["generated_text"]
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def reset_all(new_line):
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return None
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demo = gr.Blocks()
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with demo:
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with gr.Column():
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input = gr.Textbox(
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lines=1,
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value="Music to hear, why hear'st thou music sadly?\nSweets with sweets war not, joy delights in joy.",
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)
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with gr.Row():
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generate_button = gr.Button("Generate", variant="primary")
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clear_all_button = gr.Button("Reset")
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with gr.Column():
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output = gr.HTML()
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generate_button.click(fn=generate, inputs=input, outputs=output)
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clear_all_button.click(fn=reset_all, inputs=input, outputs=output)
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if __name__ == "__main__":
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