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Dockerfile

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+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+RUN python3 -m pip install --no-cache-dir --upgrade pip
+RUN python3 -m pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY . .
+
+CMD ["panel", "serve", "/code/app.py", "--address", "0.0.0.0", "--port", "7860",  "--allow-websocket-origin", "*"]
+
+RUN mkdir /.cache
+RUN chmod 777 /.cache
+RUN mkdir .chroma
+RUN chmod 777 .chroma

app.py

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+import pandas as pd
+import panel as pn
+from datetime import datetime
+from datetime import date
+pn.extension('bokeh', template='bootstrap')
+import hvplot.pandas
+
+
+@pn.cache
+def get_df(todaydate):
+
+    from datetime import datetime
+    todaydate = datetime.today().strftime("%Y-%m-%d")
+    # URL of the CSV file
+    url = f"https://raw.githubusercontent.com/alirezax2/GurusFocusCrawl/main/gurufocus/GuruFocus_merged_{todaydate}.csv"
+
+    # Read the CSV file into a DataFrame
+    df = pd.read_csv(url)
+    
+    return df
+
+selectedcol = pn.widgets.Select(name='Select Ratio', value = 'PEG Ratio', options=list(df.columns))
+selecteditem = pn.widgets.Select(name='Select Item', options=['Industry' , 'Sector'])
+
+selectedhover = 'Ticker'
+hv.extension('bokeh')
+
+def create_plot(selectedcol,selecteditem,todaydate):
+    df = get_df(todaydate)
+    
+    group_means = df.groupby(selecteditem)[selectedcol].mean()
+    df2 = df.merge(group_means, left_on=selecteditem, right_index=True, suffixes=('', f'_{selecteditem}_mean'))
+
+    return df2.hvplot.bar(x=selecteditem, y=f'{selectedcol}_{selecteditem}_mean', hover_cols=selectedhover, height=600, width=1600).opts(xrotation=90, fontsize={'xticks': 10})
+
+
+todaydate = pn.widgets.DatePicker(
+    name ="End Date",# value=datetime(2000, 1, 1),
+    description='Select a Date',
+    end= date.today() #date(2023, 9, 1)
+)
+
+
+bound_plot = pn.bind(create_plot, selectedcol=selectedcol , selecteditem=selecteditem, todaydate=todaydate)
+pn.Column(selectedcol, selecteditem, todaydate, bound_plot)
+