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Update app.py
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app.py
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@@ -69,7 +69,7 @@ from datasets import load_dataset
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dataset = load_dataset('Seetha/Visualization', streaming=True)
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df = pd.DataFrame.from_dict(dataset['train'])
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def main():
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st.title("Text to Causal Knowledge Graph")
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@@ -463,7 +463,7 @@ def main():
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writer.close()
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#df = pd.read_csv('final_data.csv', index_col=0)
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#474-515
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#
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json_data = []
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for row in df_tab.index:
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for col in df_tab.columns:
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@@ -473,12 +473,16 @@ def main():
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'value': int(df_tab.loc[row, col])
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})
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dat = json.dumps(json_data)
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df_final1.to_csv('predictions.csv')
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csv_file = "predictions.csv"
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dataset = load_dataset('Seetha/Visualization', streaming=True)
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df = pd.DataFrame.from_dict(dataset['train'])
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def main():
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st.title("Text to Causal Knowledge Graph")
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writer.close()
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#df = pd.read_csv('final_data.csv', index_col=0)
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#474-515
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# Convert to JSON format
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json_data = []
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for row in df_tab.index:
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for col in df_tab.columns:
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'value': int(df_tab.loc[row, col])
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})
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dat = json.dumps(json_data)
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level2_df = pd.DataFrame(dat)
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st.write(level2_df)
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# with open('level2.json','r+') as fi:
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# data = fi.read()
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# #st.write(data)
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# fi.seek(0)
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# fi.write(dat)
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# fi.truncate()
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updated_dataset = dataset.map(lambda example: {'new_value': level2_df['value'], 'new_source':level2_df['source'], 'new_target': level2_df['target']},remove_columns=['value','source','target'])
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df_final1.to_csv('predictions.csv')
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csv_file = "predictions.csv"
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