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Update chat.py
Browse files
chat.py
CHANGED
@@ -161,7 +161,7 @@ class ChatHandler:
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display the response as a combination of response summary and the response data in the form of table. If the response has month column, display the month as name For example, January instead of displaying as 1.
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If the user requested comparison between two or more years or the user asks for the data for all years, data should be shown for all the years with month as first column and the years like 2020, 2021 etc as the adjacent columns.
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Do not show everything in the same column. (For example, if the user requested from 2020 to 2024, then display the output table with the columns [Month, Material value in 2020, Material value in 2020, Material value in 2021, Material value in 2022, Material value in 2023, Material value in 2024]) so that the records will be displayed for all the months from Jaunary to December across the years.
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},
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]
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@@ -269,11 +269,11 @@ def create_visualization_csv(visual_query):
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#import matplotlib
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#matplotlib.use('TkAgg') # Replace with 'QtAgg' or 'MacOSX' if on macOS
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visual_query = visual_query + """
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use proper axis scale and mention axis values properly.
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Do not miss any values.
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Mention only month name in date axis and not the numbers or the date.
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Do not place legend in the middle of the chart.
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Return the image path only after plotting all the values."""
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@@ -304,6 +304,7 @@ def convert_column_types(df):
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return df
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def unstructured_text_to_df(text):
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import openai
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import pandas as pd
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import os
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display the response as a combination of response summary and the response data in the form of table. If the response has month column, display the month as name For example, January instead of displaying as 1.
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If the user requested comparison between two or more years or the user asks for the data for all years, data should be shown for all the years with month as first column and the years like 2020, 2021 etc as the adjacent columns.
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Do not show everything in the same column. (For example, if the user requested from 2020 to 2024, then display the output table with the columns [Month, Material value in 2020, Material value in 2020, Material value in 2021, Material value in 2022, Material value in 2023, Material value in 2024]) so that the records will be displayed for all the months from Jaunary to December across the years.
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If there is any error while executing the user question, kindly display the error message as 'As you know I am still learning at this moment I am not able to respond to your question.\nThank you for your patience!'""",
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},
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]
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#import matplotlib
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#matplotlib.use('TkAgg') # Replace with 'QtAgg' or 'MacOSX' if on macOS
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visual_query = visual_query + """ use proper axis scale and mention axis values properly.
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Do not miss any values.
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Mention only month name in date axis and not the numbers or the date.
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+
Do not place legend in the middle of the chart.
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Place the legend in such a way that the plotted chart is not hidden.
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Return the image path only after plotting all the values."""
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return df
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def unstructured_text_to_df(text):
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+
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import openai
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import pandas as pd
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import os
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