Initial commit
Browse files- app.py +64 -0
- data.pkl +0 -0
- greed.yaml +9 -0
- requirements.txt +64 -0
app.py
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import gradio as gr
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from random import shuffle
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import matplotlib.pyplot as plt
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import pickle
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DISCLAIMER = "**Caution! The questions from the test are AI generated and have not been validated by qualified persons. Therefore, interpret the test at your own risk.**"
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def validate_form(*inputs):
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score_map = {
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"Strongly Agree": 2,
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"Agree": 1,
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"Neutral": 0,
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"Disagree": -1,
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"Strongly Disagree": -2
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}
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x_right = 0
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x_left = 0
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number_questions = len(inputs)
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for input_index in range(number_questions):
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checkbox = inputs[input_index]
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if checkbox is None:
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raise gr.Error("You forgot a checkbox!")
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tag = INPUT_INFO[input_index]["tag"]
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key = [k for k, v in LABELLING.items() if v == tag][0]
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if key == "x_right":
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x_right += score_map[checkbox]
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else:
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x_left += score_map[checkbox]
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final = x_right + (-x_left)
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fig, ax = plt.subplots()
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ax.hlines(1, 2*(-number_questions), 2*number_questions, linestyles='solid')
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ax.plot(final, 1, 'ro')
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ax.set_xticks([2*(-number_questions), 0, 2*number_questions])
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ax.set_xticklabels([LABELLING["x_left"], 'Neutral', LABELLING["x_right"]])
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ax.get_yaxis().set_visible(False)
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return plt
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with open('data.pkl', 'rb') as f:
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data = pickle.load(f)
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title = data["title"]
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description = data["description"]
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questions_x_right_formatted = data["questions_x_right_formatted"]
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questions_x_left_formatted = data["questions_x_left_formatted"]
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LABELLING = data["LABELLING"]
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INPUT_INFO = data["INPUT_INFO"]
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combined_questions = questions_x_left_formatted + questions_x_right_formatted
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shuffle(combined_questions)
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with gr.Blocks() as demo:
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title = gr.Markdown(f"# {title}")
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description = gr.Markdown(description)
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disclaimer = gr.Markdown(DISCLAIMER)
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inputs = []
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for question_dict in combined_questions:
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question = list(question_dict.keys())[0]
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tag = list(question_dict.values())[0]
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checkbox = gr.inputs.Radio(choices=["Strongly Agree", "Agree", "Neutral", "Disagree", "Strongly Disagree"], label=question)
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inputs.append(checkbox)
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input_dict = {"question": question, "tag": tag}
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INPUT_INFO.append(input_dict)
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submit_button = gr.Button("Submit")
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plot = gr.Plot(label="Plot")
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submit_button.click(fn=validate_form, inputs=inputs, outputs=[plot], api_name="Submit")
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demo.launch()
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data.pkl
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Binary file (2.72 kB). View file
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greed.yaml
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title: "Greed Test"
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dimensions: 1
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x_right: "Greedy"
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x_left: "Not Greedy"
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description_x_right: |
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Greedy
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description_x_left: |
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Opposite of Greedy
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num_questions: 20
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requirements.txt
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aiofiles==23.2.1
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aiohttp==3.8.5
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aiosignal==1.3.1
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altair==5.1.1
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annotated-types==0.5.0
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anyio==3.7.1
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async-timeout==4.0.3
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attrs==23.1.0
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certifi==2023.7.22
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charset-normalizer==3.2.0
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click==8.1.7
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contourpy==1.1.0
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cycler==0.11.0
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fastapi==0.103.1
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ffmpy==0.3.1
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filelock==3.12.3
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fonttools==4.42.1
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frozenlist==1.4.0
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fsspec==2023.9.0
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gradio==3.43.2
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gradio_client==0.5.0
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h11==0.14.0
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httpcore==0.17.3
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httpx==0.24.1
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huggingface-hub==0.16.4
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idna==3.4
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importlib-resources==6.0.1
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Jinja2==3.1.2
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jsonschema==4.19.0
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jsonschema-specifications==2023.7.1
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kiwisolver==1.4.5
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MarkupSafe==2.1.3
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matplotlib==3.7.2
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multidict==6.0.4
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numpy==1.25.2
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openai==0.28.0
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orjson==3.9.7
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packaging==23.1
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pandas==2.1.0
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Pillow==10.0.0
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pydantic==2.3.0
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pydantic_core==2.6.3
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pydub==0.25.1
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pyparsing==3.0.9
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python-dateutil==2.8.2
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python-dotenv==1.0.0
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python-multipart==0.0.6
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pytz==2023.3.post1
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PyYAML==6.0.1
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referencing==0.30.2
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requests==2.31.0
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rpds-py==0.10.2
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semantic-version==2.10.0
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six==1.16.0
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sniffio==1.3.0
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starlette==0.27.0
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toolz==0.12.0
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tqdm==4.66.1
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typing_extensions==4.7.1
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tzdata==2023.3
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urllib3==2.0.4
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uvicorn==0.23.2
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websockets==11.0.3
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yarl==1.9.2
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