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Update app.py
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app.py
CHANGED
@@ -3,7 +3,6 @@ import numpy as np
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from sklearn.decomposition import PCA
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from sklearn.cluster import KMeans
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import umap
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import hdbscan
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import plotly.graph_objects as go
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from sentence_transformers import SentenceTransformer
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import torch
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@@ -1340,7 +1339,7 @@ def main():
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stats.update(label=f"Show clusters {column} complete", expanded=False)
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if st.session_state['data_processed']:
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parsed2 = st.session_state.get('
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parsed2 = filter_dataframe(parsed2)
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col1, col2 = st.columns(2)
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st.dataframe(parsed2)
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@@ -1350,7 +1349,7 @@ def main():
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GEMINI_KEY = st.text_input('Gemini API Key', GEMINI_KEY, type='password', help="Enter your Gemini API key")
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if col_parsed and GEMINI_KEY:
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selected_column_data2 = parsed2[col_parsed2].tolist()
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question2 = st.text_input("Ask a question
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if st.button("Generate Query") and selected_column_data2:
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st.write(gemini_query(question2, selected_column_data2, GEMINI_KEY))
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from sklearn.decomposition import PCA
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from sklearn.cluster import KMeans
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import umap
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import plotly.graph_objects as go
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from sentence_transformers import SentenceTransformer
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import torch
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stats.update(label=f"Show clusters {column} complete", expanded=False)
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if st.session_state['data_processed']:
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parsed2 = st.session_state.get('dataset', pd.DataFrame())
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parsed2 = filter_dataframe(parsed2)
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col1, col2 = st.columns(2)
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st.dataframe(parsed2)
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GEMINI_KEY = st.text_input('Gemini API Key', GEMINI_KEY, type='password', help="Enter your Gemini API key")
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if col_parsed and GEMINI_KEY:
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selected_column_data2 = parsed2[col_parsed2].tolist()
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question2 = st.text_input("Ask a question / leave empty for summarization")
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if st.button("Generate Query") and selected_column_data2:
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st.write(gemini_query(question2, selected_column_data2, GEMINI_KEY))
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