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Parent(s): 8384a4e
:sparkles: initial commit - probable facts
Browse files- .github/workflows/push_to_hub.yml +20 -0
- README.md +14 -0
- probable_facts_examples_gradio.py +109 -0
- requirements.txt +8 -0
.github/workflows/push_to_hub.yml
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name: Sync to Hugging Face hub
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on:
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push:
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branches: [main]
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# to run this workflow manually from the Actions tab
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workflow_dispatch:
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jobs:
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sync-to-hub:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3
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with:
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fetch-depth: 0
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lfs: true
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- name: Push to hub
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env:
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HF_TOKEN: ${{ secrets.HF_TOKEN }}
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run: git push https://willsh1997:$HF_TOKEN@huggingface.co/spaces/willsh1997/probable-fact-examples main
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README.md
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---
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title: Neutral Sd Dev
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emoji: 👁
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colorFrom: red
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colorTo: indigo
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sdk: gradio
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sdk_version: 5.12.0
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app_file: gradio_neutral_input_func.py
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pinned: false
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license: apache-2.0
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short_description: neutral sd gradio dev space
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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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probable_facts_examples_gradio.py
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import gradio as gr
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import pandas as pd
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import random
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import io
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import json
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import uuid
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import os
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# Setup directories
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BASE_DIR = os.path.abspath(os.path.dirname(__file__))
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PROBABLE_FACTS_DIR = os.path.join(BASE_DIR, "probable_facts_storage")
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HARD_FACTS_DIR = os.path.join(BASE_DIR, "hard_facts_storage")
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os.makedirs(PROBABLE_FACTS_DIR, exist_ok=True)
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os.makedirs(HARD_FACTS_DIR, exist_ok=True)
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def save_probable_example(example_text: str):
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"""Save the example text"""
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example_id = uuid.uuid4()
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json_path = os.path.join(PROBABLE_FACTS_DIR, f"{example_id}.json")
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# Save description
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desc_json = {"example": example_text}
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with open(json_path, "w") as f:
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json.dump(desc_json, f)
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return load_previous_examples()
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def save_hard_example(example_text: str):
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"""Save the example text"""
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example_id = uuid.uuid4()
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json_path = os.path.join(HARD_FACTS_DIR, f"{example_id}.json")
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# Save description
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desc_json = {"example": example_text}
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with open(json_path, "w") as f:
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json.dump(desc_json, f)
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return load_previous_examples()
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def load_previous_examples():
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"""Load all previously saved examples. Works for both probable and hard"""
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# probable examples load
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probable_examples = []
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for file in os.listdir(PROBABLE_FACTS_DIR):
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if file.endswith(".json"):
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json_path = os.path.join(PROBABLE_FACTS_DIR, file)
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if os.path.exists(json_path):
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with open(json_path, "r") as f:
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example = json.load(f)["example"]
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probable_examples.append(example)
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probable_examples_df = pd.DataFrame(probable_examples, columns = ["previous probable fact examples"])
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# hard facts examples
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hard_examples = []
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for file in os.listdir(HARD_FACTS_DIR):
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if file.endswith(".json"):
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json_path = os.path.join(HARD_FACTS_DIR, file)
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if os.path.exists(json_path):
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with open(json_path, "r") as f:
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example = json.load(f)["example"]
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hard_examples.append(example)
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hard_examples_df = pd.DataFrame(hard_examples, columns = ["previous hard fact examples"])
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return probable_examples_df, hard_examples_df
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# Create the Gradio interface
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with gr.Blocks() as demo:
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with gr.Row():
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probable_fact_input = gr.Textbox(info = "Input your probable fact example here!")
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hard_fact_input = gr.Textbox(info = "Input your hard fact example here!")
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with gr.Row():
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probable_btn = gr.Button("save probable fact example")
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hard_btn = gr.Button("save hard fact example")
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with gr.Row():
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with gr.Accordion("Previous Probable Facts Examples", open=False):
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probable_list = gr.Dataframe(interactive = False)
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with gr.Accordion("Previous Probable Facts Examples", open=False):
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hard_list = gr.Dataframe(interactive = False)
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#.style(grid=2, height="auto")
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# Set up event handlers
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probable_btn.click(
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fn=save_probable_example,
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inputs = [probable_fact_input],
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outputs=[probable_list, hard_list]
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)
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hard_btn.click(
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fn=save_hard_example,
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inputs = [hard_fact_input],
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outputs=[probable_list, hard_list]
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)
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# Load previous examples on startup
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demo.load(
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fn=load_previous_examples,
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outputs=[probable_list, hard_list]
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)
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# Launch the app
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if __name__ == "__main__":
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demo.launch()
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requirements.txt
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pillow
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tqdm
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torch
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transformers
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diffusers
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torchvision
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spaces
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gradio
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