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DESCRIPTION.md

@@ -0,0 +1 @@
+A simple dashboard showing pypi stats for python libraries. Updates on load, and has no buttons!

README.md

@@ -1,7 +1,7 @@
 
 ---
 title: timeseries-forecasting-with-prophet 
-emoji: 🤗
+emoji: 🔥
 colorFrom: indigo
 colorTo: indigo
 sdk: gradio

app.py

@@ -1,6 +1,3 @@
-# URL: https://huggingface.co/spaces/gradio/timeseries-forecasting-with-prophet
-# DESCRIPTION: A simple dashboard showing pypi stats for python libraries. Updates on load, and has no buttons!
-# imports
 import gradio as gr
 import pypistats
 from datetime import date
@@ -9,7 +6,6 @@ import pandas as pd
 from prophet import Prophet
 pd.options.plotting.backend = "plotly"
 
-# defining the core fn
 def get_forecast(lib, time):
 
     data = pypistats.overall(lib, total=True, format="pandas")
@@ -27,26 +23,19 @@ def get_forecast(lib, time):
     fig1 = m.plot(forecast)
     return fig1 
 
-# starting a block
 with gr.Blocks() as demo:
-    # defining text on the page
     gr.Markdown(
     """
     **Pypi Download Stats 📈 with Prophet Forecasting**: see live download stats for popular open-source libraries 🤗 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).
     """)
-    # defining layout
     with gr.Row():
-        # defining inputs
         lib = gr.Dropdown(["pandas", "scikit-learn", "torch", "prophet"], label="Library", value="pandas")
         time = gr.Dropdown(["3 months", "6 months", "9 months", "12 months"], label="Downloads over the last...", value="12 months")
 
-    # defining output
     plt = gr.Plot()
 
-    # defining when the output will update, and core fn will run: when either input is changed, or demo loads
     lib.change(get_forecast, [lib, time], plt, queue=False)
     time.change(get_forecast, [lib, time], plt, queue=False)    
     demo.load(get_forecast, [lib, time], plt, queue=False)    
 
-# launch
 demo.launch()