rameshmoorthy
commited on
Commit
•
fcc06ed
1
Parent(s):
169a56e
Update app.py
Browse files
app.py
CHANGED
@@ -5,13 +5,14 @@ from functions import process_file_bm25 , process_file_bert , generate_plot , ge
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#------------------------------------------------------
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# Create the state object
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state = gr.State()
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state.df_bm25 = pd.DataFrame({"Products": [1, 2, 3], "column2": ["A", "B", "C"]})
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state.df_bert = pd.DataFrame({"Products": [1, 2, 3], "column2": ["A", "B", "C"]})
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state.df_topics_bert = pd.DataFrame({"Topic": [1, 2, 3], "column2": ["A", "B", "C"]})
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state.df_topics_bm25 = pd.DataFrame({"Topic": [1, 2, 3], "column2": ["A", "B", "C"]})
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with gr.Blocks() as bm25:
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@@ -51,7 +52,7 @@ with gr.Blocks() as bm25:
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cluster_btn = gr.Button(value="Cluster")
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#[ df,topics_info,barchart,topics_plot,heatmap,hierarchy]
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tup=cluster_btn.click(process_file_bm25, inputs=[inputfile,mode,min_cluster_size,top_n_words,ngram
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outputs=[
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gr.Dataframe(),
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gr.File(label="Download CSV"),
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@@ -61,7 +62,7 @@ with gr.Blocks() as bm25:
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gr.Plot(label="Topics Plot"),
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gr.Plot(label="Heatmap"),
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gr.Plot(label="Hierarchy"),
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])
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print('Tuple **************************' ,tup)
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#[df1, df2, barchart_plot, topics_plot, heatmap_plot, hierarchy_plot] = tup
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#------------------------------------------------------
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# Create the state object
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# state = gr.State()
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# state.df_bm25 = pd.DataFrame({"Products": [1, 2, 3], "column2": ["A", "B", "C"]})
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# state.df_bert = pd.DataFrame({"Products": [1, 2, 3], "column2": ["A", "B", "C"]})
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# state.df_topics_bert = pd.DataFrame({"Topic": [1, 2, 3], "column2": ["A", "B", "C"]})
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# state.df_topics_bm25 = pd.DataFrame({"Topic": [1, 2, 3], "column2": ["A", "B", "C"]})
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df_bm25=gr.State(value=pd.DataFrame({"column1": [1, 2, 3], "column2": ["A", "B", "C"]}))
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df_topics_bm25 = gr.State(value=pd.DataFrame({"column1": [1, 2, 3], "column2": ["A", "B", "C"]}))
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with gr.Blocks() as bm25:
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cluster_btn = gr.Button(value="Cluster")
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#[ df,topics_info,barchart,topics_plot,heatmap,hierarchy]
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tup=cluster_btn.click(process_file_bm25, inputs=[inputfile,mode,min_cluster_size,top_n_words,ngram],
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outputs=[
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gr.Dataframe(),
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gr.File(label="Download CSV"),
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gr.Plot(label="Topics Plot"),
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gr.Plot(label="Heatmap"),
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gr.Plot(label="Hierarchy"),
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])
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print('Tuple **************************' ,tup)
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#[df1, df2, barchart_plot, topics_plot, heatmap_plot, hierarchy_plot] = tup
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