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Browse files- DESCRIPTION.md +1 -0
- README.md +1 -1
- app.py +0 -11
DESCRIPTION.md
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A simple dashboard showing pypi stats for python libraries. Updates on load, and has no buttons!
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README.md
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---
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title: timeseries-forecasting-with-prophet
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emoji:
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colorFrom: indigo
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colorTo: indigo
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sdk: gradio
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---
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title: timeseries-forecasting-with-prophet
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emoji: π₯
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colorFrom: indigo
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sdk: gradio
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app.py
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# URL: https://huggingface.co/spaces/gradio/timeseries-forecasting-with-prophet
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# DESCRIPTION: A simple dashboard showing pypi stats for python libraries. Updates on load, and has no buttons!
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# imports
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import gradio as gr
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import pypistats
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from datetime import date
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from prophet import Prophet
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pd.options.plotting.backend = "plotly"
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# defining the core fn
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def get_forecast(lib, time):
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data = pypistats.overall(lib, total=True, format="pandas")
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fig1 = m.plot(forecast)
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return fig1
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# starting a block
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with gr.Blocks() as demo:
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# defining text on the page
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gr.Markdown(
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"""
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**Pypi Download Stats π with Prophet Forecasting**: see live download stats for popular open-source libraries π€ along with a 3 month forecast using Prophet. The [ source code for this Gradio demo is here](https://huggingface.co/spaces/gradio/timeseries-forecasting-with-prophet/blob/main/app.py).
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""")
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# defining layout
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with gr.Row():
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# defining inputs
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lib = gr.Dropdown(["pandas", "scikit-learn", "torch", "prophet"], label="Library", value="pandas")
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time = gr.Dropdown(["3 months", "6 months", "9 months", "12 months"], label="Downloads over the last...", value="12 months")
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# defining output
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plt = gr.Plot()
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# defining when the output will update, and core fn will run: when either input is changed, or demo loads
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lib.change(get_forecast, [lib, time], plt, queue=False)
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time.change(get_forecast, [lib, time], plt, queue=False)
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demo.load(get_forecast, [lib, time], plt, queue=False)
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# launch
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demo.launch()
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import gradio as gr
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import pypistats
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from datetime import date
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from prophet import Prophet
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pd.options.plotting.backend = "plotly"
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def get_forecast(lib, time):
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data = pypistats.overall(lib, total=True, format="pandas")
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fig1 = m.plot(forecast)
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return fig1
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with gr.Blocks() as demo:
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gr.Markdown(
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"""
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**Pypi Download Stats π with Prophet Forecasting**: see live download stats for popular open-source libraries π€ along with a 3 month forecast using Prophet. The [ source code for this Gradio demo is here](https://huggingface.co/spaces/gradio/timeseries-forecasting-with-prophet/blob/main/app.py).
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""")
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with gr.Row():
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lib = gr.Dropdown(["pandas", "scikit-learn", "torch", "prophet"], label="Library", value="pandas")
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time = gr.Dropdown(["3 months", "6 months", "9 months", "12 months"], label="Downloads over the last...", value="12 months")
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plt = gr.Plot()
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lib.change(get_forecast, [lib, time], plt, queue=False)
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time.change(get_forecast, [lib, time], plt, queue=False)
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demo.load(get_forecast, [lib, time], plt, queue=False)
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demo.launch()
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