Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -2,6 +2,7 @@ import streamlit as st
|
|
2 |
import pandas as pd
|
3 |
import numpy as np
|
4 |
import plotly.express as px
|
|
|
5 |
from ydata_profiling import ProfileReport
|
6 |
from streamlit_pandas_profiling import st_profile_report
|
7 |
import os
|
@@ -172,7 +173,7 @@ custom_html = """
|
|
172 |
</script>
|
173 |
"""
|
174 |
|
175 |
-
# Helper Functions (
|
176 |
def update_cleaned_data(df):
|
177 |
st.session_state.cleaned_data = df
|
178 |
if 'data_versions' not in st.session_state:
|
@@ -303,8 +304,8 @@ def main():
|
|
303 |
# Hidden Inputs for JS Interaction
|
304 |
if 'app_mode' not in st.session_state:
|
305 |
st.session_state.app_mode = "Data Upload"
|
306 |
-
|
307 |
-
|
308 |
|
309 |
# Sidebar
|
310 |
with st.sidebar:
|
@@ -392,13 +393,15 @@ def main():
|
|
392 |
st.session_state.last_plot = {"type": "Histogram", "x": x_axis, "data": df[[x_axis]].to_json()}
|
393 |
st.plotly_chart(fig)
|
394 |
|
395 |
-
# Chatbot Logic
|
396 |
-
|
|
|
|
|
397 |
if chat_input:
|
398 |
st.session_state.chat_history.append({"role": "user", "content": chat_input})
|
399 |
df = st.session_state.cleaned_data if 'cleaned_data' in st.session_state else pd.DataFrame()
|
400 |
new_df, result, plot_info = parse_command(chat_input, df)
|
401 |
-
if isinstance(result,
|
402 |
st.plotly_chart(result)
|
403 |
st.session_state.last_plot = plot_info
|
404 |
st.session_state.vector_store = update_vector_store_with_plot(extract_plot_data(plot_info, new_df), st.session_state.vector_store)
|
@@ -417,7 +420,7 @@ def main():
|
|
417 |
document.dispatchEvent(new CustomEvent('bot_response', {{ detail: {json.dumps(response)} }}));
|
418 |
</script>
|
419 |
""", unsafe_allow_html=True)
|
420 |
-
|
421 |
|
422 |
if __name__ == "__main__":
|
423 |
main()
|
|
|
2 |
import pandas as pd
|
3 |
import numpy as np
|
4 |
import plotly.express as px
|
5 |
+
from plotly.graph_objects import Figure
|
6 |
from ydata_profiling import ProfileReport
|
7 |
from streamlit_pandas_profiling import st_profile_report
|
8 |
import os
|
|
|
173 |
</script>
|
174 |
"""
|
175 |
|
176 |
+
# Helper Functions (unchanged)
|
177 |
def update_cleaned_data(df):
|
178 |
st.session_state.cleaned_data = df
|
179 |
if 'data_versions' not in st.session_state:
|
|
|
304 |
# Hidden Inputs for JS Interaction
|
305 |
if 'app_mode' not in st.session_state:
|
306 |
st.session_state.app_mode = "Data Upload"
|
307 |
+
st.markdown(f'<input id="app-mode" type="hidden" value="{st.session_state.app_mode}">', unsafe_allow_html=True)
|
308 |
+
st.markdown('<input id="chat-trigger" type="hidden">', unsafe_allow_html=True)
|
309 |
|
310 |
# Sidebar
|
311 |
with st.sidebar:
|
|
|
393 |
st.session_state.last_plot = {"type": "Histogram", "x": x_axis, "data": df[[x_axis]].to_json()}
|
394 |
st.plotly_chart(fig)
|
395 |
|
396 |
+
# Chatbot Logic (Moved to Bottom, Fixed Session State Issue)
|
397 |
+
if "chat_trigger" not in st.session_state:
|
398 |
+
st.session_state.chat_trigger = ""
|
399 |
+
chat_input = st.session_state.chat_trigger
|
400 |
if chat_input:
|
401 |
st.session_state.chat_history.append({"role": "user", "content": chat_input})
|
402 |
df = st.session_state.cleaned_data if 'cleaned_data' in st.session_state else pd.DataFrame()
|
403 |
new_df, result, plot_info = parse_command(chat_input, df)
|
404 |
+
if isinstance(result, Figure):
|
405 |
st.plotly_chart(result)
|
406 |
st.session_state.last_plot = plot_info
|
407 |
st.session_state.vector_store = update_vector_store_with_plot(extract_plot_data(plot_info, new_df), st.session_state.vector_store)
|
|
|
420 |
document.dispatchEvent(new CustomEvent('bot_response', {{ detail: {json.dumps(response)} }}));
|
421 |
</script>
|
422 |
""", unsafe_allow_html=True)
|
423 |
+
st.session_state.chat_trigger = "" # Reset after processing
|
424 |
|
425 |
if __name__ == "__main__":
|
426 |
main()
|