Spaces:
Build error
Build error
Update app.py
Browse files
app.py
CHANGED
|
@@ -70,8 +70,6 @@ if uploaded_file is not None:
|
|
| 70 |
|
| 71 |
if result.tables:
|
| 72 |
for table in result.tables:
|
| 73 |
-
temp_kv_df = kv_df.copy()
|
| 74 |
-
|
| 75 |
data = []
|
| 76 |
for cell in table.cells:
|
| 77 |
data.append([cell.row_index, cell.column_index, cell.content])
|
|
@@ -86,8 +84,6 @@ if uploaded_file is not None:
|
|
| 86 |
# Display the results if processing is done
|
| 87 |
if st.session_state.processed:
|
| 88 |
if not st.session_state.kv_df.empty:
|
| 89 |
-
st.write("Extracted Key-Value Pairs:")
|
| 90 |
-
st.dataframe(st.session_state.kv_df)
|
| 91 |
st.download_button(
|
| 92 |
label="Download Key-Value Pairs as CSV",
|
| 93 |
data=st.session_state.kv_df.to_csv(index=False, header=False).encode('utf-8'),
|
|
@@ -99,56 +95,74 @@ if st.session_state.processed:
|
|
| 99 |
|
| 100 |
|
| 101 |
if st.session_state.tables:
|
| 102 |
-
|
| 103 |
-
|
| 104 |
-
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
)
|
| 108 |
-
for i, table_df in enumerate(st.session_state.tables):
|
| 109 |
-
st.write(f"Table {i + 1} with Selected Columns Added:")
|
| 110 |
|
| 111 |
-
|
| 112 |
-
|
| 113 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 114 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 115 |
# Add the selected columns to the table
|
| 116 |
if selected_columns:
|
| 117 |
-
# Create a
|
| 118 |
-
selected_columns_df = st.session_state.kv_df[
|
| 119 |
-
|
| 120 |
# Align the length of selected_columns_df with the table_df rows
|
| 121 |
-
selected_columns_df = selected_columns_df.iloc[:len(
|
| 122 |
-
|
| 123 |
-
|
|
|
|
| 124 |
if rows_to_add > 0:
|
| 125 |
last_row = selected_columns_df.iloc[-1]
|
| 126 |
additional_rows = pd.DataFrame([last_row] * rows_to_add, columns=selected_columns_df.columns)
|
| 127 |
selected_columns_df = pd.concat([selected_columns_df, additional_rows], ignore_index=True)
|
| 128 |
-
|
| 129 |
-
# Concatenate the selected columns DataFrame with the table DataFrame
|
| 130 |
-
table_df = pd.concat([selected_columns_df, table_df.reset_index(drop=True)], axis=1, ignore_index=True)
|
| 131 |
|
| 132 |
-
|
|
|
|
|
|
|
|
|
|
| 133 |
st.download_button(
|
| 134 |
-
|
| 135 |
-
|
| 136 |
-
|
| 137 |
-
|
| 138 |
)
|
| 139 |
-
|
| 140 |
-
|
| 141 |
-
st.write(f"Table {
|
| 142 |
-
st.dataframe(
|
| 143 |
st.download_button(
|
| 144 |
-
label=f"Download Table {
|
| 145 |
data=table_df.to_csv(index=False, header=False).encode('utf-8'),
|
| 146 |
-
file_name=f"table{
|
| 147 |
mime='text/csv',
|
| 148 |
-
)
|
| 149 |
else:
|
| 150 |
st.write("No tables found in the document.")
|
| 151 |
-
|
| 152 |
|
| 153 |
# Option to remove the file and clear the session
|
| 154 |
if st.session_state.processed and st.button("Remove File"):
|
|
|
|
| 70 |
|
| 71 |
if result.tables:
|
| 72 |
for table in result.tables:
|
|
|
|
|
|
|
| 73 |
data = []
|
| 74 |
for cell in table.cells:
|
| 75 |
data.append([cell.row_index, cell.column_index, cell.content])
|
|
|
|
| 84 |
# Display the results if processing is done
|
| 85 |
if st.session_state.processed:
|
| 86 |
if not st.session_state.kv_df.empty:
|
|
|
|
|
|
|
| 87 |
st.download_button(
|
| 88 |
label="Download Key-Value Pairs as CSV",
|
| 89 |
data=st.session_state.kv_df.to_csv(index=False, header=False).encode('utf-8'),
|
|
|
|
| 95 |
|
| 96 |
|
| 97 |
if st.session_state.tables:
|
| 98 |
+
# Display available tables for selection, with "None" as the first option
|
| 99 |
+
table_options = ["Select"] + [f"Table {i + 1}" for i in range(len(st.session_state.tables))]
|
| 100 |
+
selected_table_option = st.selectbox(
|
| 101 |
+
"Select table to join key-value pairs:", table_options, index=0
|
| 102 |
+
)
|
|
|
|
|
|
|
|
|
|
| 103 |
|
| 104 |
+
# Proceed only if a table is selected (i.e., not "None")
|
| 105 |
+
if selected_table_option != "Select":
|
| 106 |
+
selected_table_index = table_options.index(selected_table_option) - 1 # Adjust for "None"
|
| 107 |
+
selected_table_df = st.session_state.tables[selected_table_index]
|
| 108 |
+
|
| 109 |
+
if not st.session_state.kv_df.empty:
|
| 110 |
+
# Allow the user to select multiple columns
|
| 111 |
+
first_row_values = st.session_state.kv_df.iloc[0].values
|
| 112 |
+
second_row_values = st.session_state.kv_df.iloc[1].values
|
| 113 |
+
# Format as "Key (row 0 value): Value (row 1 value)"
|
| 114 |
+
key_value_options = [
|
| 115 |
+
f"{key}: {value}" for key, value in zip(first_row_values, second_row_values)
|
| 116 |
+
]
|
| 117 |
|
| 118 |
+
selected_columns = st.multiselect(
|
| 119 |
+
"Select key-value pairs to add to the selected table:", key_value_options
|
| 120 |
+
)
|
| 121 |
+
|
| 122 |
+
# Extract the column indices of the selected items
|
| 123 |
+
selected_indices = [
|
| 124 |
+
key_value_options.index(selected) for selected in selected_columns
|
| 125 |
+
]
|
| 126 |
+
|
| 127 |
+
st.write(f"Selected Table {selected_table_index + 1} with Key-Value Pairs Added:")
|
| 128 |
+
|
| 129 |
# Add the selected columns to the table
|
| 130 |
if selected_columns:
|
| 131 |
+
# Create a DataFrame for the selected columns using the original kv_df
|
| 132 |
+
selected_columns_df = st.session_state.kv_df.iloc[:, selected_indices].copy()
|
| 133 |
+
|
| 134 |
# Align the length of selected_columns_df with the table_df rows
|
| 135 |
+
selected_columns_df = selected_columns_df.iloc[:len(selected_table_df)].reset_index(drop=True)
|
| 136 |
+
|
| 137 |
+
# Add more rows if needed to match the table_df size
|
| 138 |
+
rows_to_add = len(selected_table_df) - len(selected_columns_df)
|
| 139 |
if rows_to_add > 0:
|
| 140 |
last_row = selected_columns_df.iloc[-1]
|
| 141 |
additional_rows = pd.DataFrame([last_row] * rows_to_add, columns=selected_columns_df.columns)
|
| 142 |
selected_columns_df = pd.concat([selected_columns_df, additional_rows], ignore_index=True)
|
|
|
|
|
|
|
|
|
|
| 143 |
|
| 144 |
+
# Concatenate the selected columns with the selected table DataFrame
|
| 145 |
+
selected_table_df = pd.concat([selected_columns_df, selected_table_df.reset_index(drop=True)], axis=1, ignore_index=True)
|
| 146 |
+
|
| 147 |
+
st.dataframe(selected_table_df)
|
| 148 |
st.download_button(
|
| 149 |
+
label=f"Download Table {selected_table_index + 1} as CSV",
|
| 150 |
+
data=selected_table_df.to_csv(index=False, header=False).encode('utf-8'),
|
| 151 |
+
file_name=f"table_with_kv_{selected_table_index + 1}.csv",
|
| 152 |
+
mime='text/csv',
|
| 153 |
)
|
| 154 |
+
else:
|
| 155 |
+
|
| 156 |
+
st.write(f"Selected Table {selected_table_index + 1}:")
|
| 157 |
+
st.dataframe(selected_table_df)
|
| 158 |
st.download_button(
|
| 159 |
+
label=f"Download Table {selected_table_index + 1} as CSV",
|
| 160 |
data=table_df.to_csv(index=False, header=False).encode('utf-8'),
|
| 161 |
+
file_name=f"table{selected_table_index + 1}.csv",
|
| 162 |
mime='text/csv',
|
| 163 |
+
)
|
| 164 |
else:
|
| 165 |
st.write("No tables found in the document.")
|
|
|
|
| 166 |
|
| 167 |
# Option to remove the file and clear the session
|
| 168 |
if st.session_state.processed and st.button("Remove File"):
|