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Update app.py
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app.py
CHANGED
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@@ -2,6 +2,7 @@ import streamlit as st
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import pandas as pd
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import numpy as np
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import plotly.express as px
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from ydata_profiling import ProfileReport
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from streamlit_pandas_profiling import st_profile_report
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import os
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@@ -172,7 +173,7 @@ custom_html = """
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</script>
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"""
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# Helper Functions (
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def update_cleaned_data(df):
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st.session_state.cleaned_data = df
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if 'data_versions' not in st.session_state:
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@@ -303,8 +304,8 @@ def main():
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# Hidden Inputs for JS Interaction
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if 'app_mode' not in st.session_state:
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st.session_state.app_mode = "Data Upload"
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-
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-
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# Sidebar
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with st.sidebar:
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@@ -392,13 +393,15 @@ def main():
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st.session_state.last_plot = {"type": "Histogram", "x": x_axis, "data": df[[x_axis]].to_json()}
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st.plotly_chart(fig)
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# Chatbot Logic
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if chat_input:
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st.session_state.chat_history.append({"role": "user", "content": chat_input})
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df = st.session_state.cleaned_data if 'cleaned_data' in st.session_state else pd.DataFrame()
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new_df, result, plot_info = parse_command(chat_input, df)
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if isinstance(result,
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st.plotly_chart(result)
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st.session_state.last_plot = plot_info
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st.session_state.vector_store = update_vector_store_with_plot(extract_plot_data(plot_info, new_df), st.session_state.vector_store)
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@@ -417,7 +420,7 @@ def main():
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document.dispatchEvent(new CustomEvent('bot_response', {{ detail: {json.dumps(response)} }}));
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</script>
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""", unsafe_allow_html=True)
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-
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if __name__ == "__main__":
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main()
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import pandas as pd
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import numpy as np
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import plotly.express as px
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from plotly.graph_objects import Figure
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from ydata_profiling import ProfileReport
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from streamlit_pandas_profiling import st_profile_report
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import os
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</script>
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"""
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# Helper Functions (unchanged)
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def update_cleaned_data(df):
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st.session_state.cleaned_data = df
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if 'data_versions' not in st.session_state:
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# Hidden Inputs for JS Interaction
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if 'app_mode' not in st.session_state:
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st.session_state.app_mode = "Data Upload"
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st.markdown(f'<input id="app-mode" type="hidden" value="{st.session_state.app_mode}">', unsafe_allow_html=True)
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st.markdown('<input id="chat-trigger" type="hidden">', unsafe_allow_html=True)
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# Sidebar
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with st.sidebar:
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st.session_state.last_plot = {"type": "Histogram", "x": x_axis, "data": df[[x_axis]].to_json()}
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st.plotly_chart(fig)
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# Chatbot Logic (Moved to Bottom, Fixed Session State Issue)
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if "chat_trigger" not in st.session_state:
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st.session_state.chat_trigger = ""
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chat_input = st.session_state.chat_trigger
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if chat_input:
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st.session_state.chat_history.append({"role": "user", "content": chat_input})
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df = st.session_state.cleaned_data if 'cleaned_data' in st.session_state else pd.DataFrame()
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new_df, result, plot_info = parse_command(chat_input, df)
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if isinstance(result, Figure):
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st.plotly_chart(result)
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st.session_state.last_plot = plot_info
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st.session_state.vector_store = update_vector_store_with_plot(extract_plot_data(plot_info, new_df), st.session_state.vector_store)
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document.dispatchEvent(new CustomEvent('bot_response', {{ detail: {json.dumps(response)} }}));
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</script>
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""", unsafe_allow_html=True)
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st.session_state.chat_trigger = "" # Reset after processing
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if __name__ == "__main__":
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main()
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