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Update app.py
Browse files
app.py
CHANGED
@@ -70,37 +70,36 @@ else:
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# Ensure the question is a string
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if not isinstance(question, str):
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st.error("The question input is not a valid string.")
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return
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# Use TAPAS model to process the question
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result = tqa(table=df, query=question)
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# Check if TAPAS is returning the expected answer
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answer = result['answer']
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st.write(f"TAPAS Answer: {answer}")
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# Determine if the question relates to graph generation
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if 'between' in question.lower() and 'and' in question.lower():
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# This is a request for a scatter plot (two columns)
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columns = question.split('between')[-1].split('and')
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columns = [col.strip() for col in columns]
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if len(columns) == 2 and all(col in df.columns for col in columns):
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fig = px.scatter(df, x=columns[0], y=columns[1], title=f"Scatter Plot between {columns[0]} and {columns[1]}")
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st.plotly_chart(fig, use_container_width=True)
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st.success(f"Here is the scatter plot between '{columns[0]}' and '{columns[1]}'.")
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else:
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st.warning("Columns not found in the dataset.")
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elif 'column' in question.lower():
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# This is a request for a line graph (single column)
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column = question.split('of')[-1].strip() # Handle 'of' keyword
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if column in df.columns:
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fig = px.line(df, x=df.index, y=column, title=f"Graph of column '{column}'")
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st.plotly_chart(fig, use_container_width=True)
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st.success(f"Here is the graph of column '{column}'.")
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else:
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st.warning(f"Column '{column}' not found in the data.")
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else:
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except Exception as e:
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st.warning(f"Error processing question or generating graph: {str(e)}")
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# Ensure the question is a string
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if not isinstance(question, str):
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st.error("The question input is not a valid string.")
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else:
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# Use TAPAS model to process the question
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result = tqa(table=df, query=question)
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# Check if TAPAS is returning the expected answer
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answer = result['answer']
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st.write(f"TAPAS Answer: {answer}")
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# Determine if the question relates to graph generation
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if 'between' in question.lower() and 'and' in question.lower():
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# This is a request for a scatter plot (two columns)
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columns = question.split('between')[-1].split('and')
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columns = [col.strip() for col in columns]
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if len(columns) == 2 and all(col in df.columns for col in columns):
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fig = px.scatter(df, x=columns[0], y=columns[1], title=f"Scatter Plot between {columns[0]} and {columns[1]}")
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st.plotly_chart(fig, use_container_width=True)
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st.success(f"Here is the scatter plot between '{columns[0]}' and '{columns[1]}'.")
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else:
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st.warning("Columns not found in the dataset.")
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elif 'column' in question.lower():
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# This is a request for a line graph (single column)
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column = question.split('of')[-1].strip() # Handle 'of' keyword
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if column in df.columns:
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fig = px.line(df, x=df.index, y=column, title=f"Graph of column '{column}'")
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st.plotly_chart(fig, use_container_width=True)
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st.success(f"Here is the graph of column '{column}'.")
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else:
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st.warning(f"Column '{column}' not found in the data.")
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else:
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st.warning("Please ask a valid graph-related question (e.g., 'make a graph between column1 and column2').")
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except Exception as e:
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st.warning(f"Error processing question or generating graph: {str(e)}")
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