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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +585 -38
src/streamlit_app.py
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@@ -1,40 +1,587 @@
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import
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import
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import streamlit as st
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""
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In the meantime, below is an example of what you can do with just a few lines of code:
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"""
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num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
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num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
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indices = np.linspace(0, 1, num_points)
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theta = 2 * np.pi * num_turns * indices
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radius = indices
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x = radius * np.cos(theta)
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y = radius * np.sin(theta)
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df = pd.DataFrame({
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"x": x,
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"y": y,
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"idx": indices,
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"rand": np.random.randn(num_points),
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})
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st.altair_chart(alt.Chart(df, height=700, width=700)
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.mark_point(filled=True)
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.encode(
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x=alt.X("x", axis=None),
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y=alt.Y("y", axis=None),
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color=alt.Color("idx", legend=None, scale=alt.Scale()),
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size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
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))
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import os
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from io import BytesIO
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import json
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import streamlit as st
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from PIL import Image, ImageEnhance
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from streamlit_drawable_canvas import st_canvas
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import pytesseract
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# Tesseract is installed via packages.txt on HuggingFace Spaces (Linux)
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# No need to set path - it's in system PATH
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st.set_page_config(
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page_title="Remittance GT Annotator - Interactive OCR",
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layout="wide"
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)
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st.title("Remittance GT Annotator - Interactive OCR")
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# ---- Define fields ----
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SINGLE_FIELDS = [
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"Remittance Advice Number",
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"Remittance Advice Date",
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"Payment Method",
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"FCY",
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"Total Payment Amount in FCY",
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"Payment Date",
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"Payment Reference Number/Check Number",
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"Customer Name",
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"Customer Address",
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"Customer Contact Information",
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"Supplier Name",
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"Supplier Address",
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"Supplier Contact Information",
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"Bank Name",
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"Bank Account Number",
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"Bank Routing Number",
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"SWIFT/BIC Code",
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]
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LINE_ITEM_FIELDS = [
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"PO number",
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"Invoice number",
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"Other document reference number",
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"Invoice Date",
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"Invoice Amount in FCY",
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"Amount Paid for Each Invoice in FCY",
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"Outstanding Balance in FCY",
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"Discounts Taken in FCY",
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"Adjustments(Withholding Tax) in FCY",
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"Description",
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]
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COLOR_PALETTE = [
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"#e6194b", "#3cb44b", "#ffe119", "#4363d8", "#f58231",
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"#911eb4", "#46f0f0", "#f032e6", "#bcf60c", "#fabebe",
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"#008080", "#e6beff", "#9a6324", "#fffac8", "#800000",
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"#aaffc3", "#808000", "#ffd8b1", "#000075", "#808080",
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"#ffe4e1", "#40e0d0", "#ff1493", "#7fffd4", "#b0e0e6",
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"#ffb6c1", "#add8e6",
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]
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ALL_BASE_FIELDS = SINGLE_FIELDS + LINE_ITEM_FIELDS
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FIELD_COLORS = {field: COLOR_PALETTE[i % len(COLOR_PALETTE)] for i, field in enumerate(ALL_BASE_FIELDS)}
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# ----- JSONL schema helper mappings -----
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HEADER_GROUPS = {
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"remittance_advice_details": {
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"Remittance Advice Number": "remittance_advice_number",
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"Remittance Advice Date": "remittance_advice_date",
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"Payment Method": "payment_method",
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"FCY": "fcy",
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"Total Payment Amount in FCY": "total_payment_amount_in_fcy",
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"Payment Date": "payment_date",
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"Payment Reference Number/Check Number": "payment_reference_number_check_number",
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},
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"customer_supplier_details": {
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"Customer Name": "customer_name",
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"Customer Address": "customer_address",
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"Customer Contact Information": "customer_contact_information",
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"Supplier Name": "supplier_name",
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"Supplier Address": "supplier_address",
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"Supplier Contact Information": "supplier_contact_information",
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},
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"bank_details": {
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"Bank Name": "bank_name",
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"Bank Account Number": "bank_account_number",
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"Bank Routing Number": "bank_routing_number",
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"SWIFT/BIC Code": "swift_bic_code",
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},
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}
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LINE_ITEM_FIELD_KEY_MAP = {
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"PO number": "po_number",
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"Invoice number": "invoice_number",
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"Other document reference number": "other_document_reference_number",
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"Invoice Date": "invoice_date",
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"Invoice Amount in FCY": "invoice_amount_in_fcy",
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"Amount Paid for Each Invoice in FCY": "amount_paid_for_each_invoice_in_fcy",
|
| 100 |
+
"Outstanding Balance in FCY": "outstanding_balance_in_fcy",
|
| 101 |
+
"Discounts Taken in FCY": "discounts_taken_in_fcy",
|
| 102 |
+
"Adjustments(Withholding Tax) in FCY": "adjustments_withholding_tax_in_fcy",
|
| 103 |
+
"Description": "description",
|
| 104 |
+
}
|
| 105 |
+
|
| 106 |
+
# Fixed zoom options
|
| 107 |
+
ZOOM_OPTIONS = [25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100, 110, 120, 130, 140, 150]
|
| 108 |
+
|
| 109 |
+
# ---- Session state ----
|
| 110 |
+
if "field_values" not in st.session_state:
|
| 111 |
+
st.session_state.field_values = {}
|
| 112 |
+
if "field_rects_orig" not in st.session_state:
|
| 113 |
+
st.session_state.field_rects_orig = {}
|
| 114 |
+
if "num_line_items" not in st.session_state:
|
| 115 |
+
st.session_state.num_line_items = {}
|
| 116 |
+
if "selected_image" not in st.session_state:
|
| 117 |
+
st.session_state.selected_image = None
|
| 118 |
+
if "zoom_values" not in st.session_state:
|
| 119 |
+
st.session_state.zoom_values = {}
|
| 120 |
+
if "rect_version" not in st.session_state:
|
| 121 |
+
st.session_state.rect_version = {}
|
| 122 |
+
if "image_data" not in st.session_state:
|
| 123 |
+
st.session_state.image_data = {}
|
| 124 |
+
|
| 125 |
+
# Pending delete - process at start before UI
|
| 126 |
+
if "pending_delete" not in st.session_state:
|
| 127 |
+
st.session_state.pending_delete = None
|
| 128 |
+
|
| 129 |
+
if st.session_state.pending_delete is not None:
|
| 130 |
+
img_name, field_key = st.session_state.pending_delete
|
| 131 |
+
if img_name in st.session_state.field_rects_orig:
|
| 132 |
+
st.session_state.field_rects_orig[img_name].pop(field_key, None)
|
| 133 |
+
if img_name in st.session_state.rect_version:
|
| 134 |
+
st.session_state.rect_version[img_name] += 1
|
| 135 |
+
st.session_state.pending_delete = None
|
| 136 |
+
|
| 137 |
+
# --- Helper functions ---
|
| 138 |
+
@st.cache_data
|
| 139 |
+
def load_image(file_content):
|
| 140 |
+
return Image.open(BytesIO(file_content)).convert("RGB")
|
| 141 |
+
|
| 142 |
+
def get_display_image_from_bytes(image_bytes, width, height):
|
| 143 |
+
"""Create fresh display image from bytes - no caching to avoid stale PIL references"""
|
| 144 |
+
pil_image = Image.open(BytesIO(image_bytes)).convert("RGB")
|
| 145 |
+
resized = pil_image.resize((width, height), Image.LANCZOS)
|
| 146 |
+
resized = ImageEnhance.Sharpness(resized).enhance(1.2)
|
| 147 |
+
resized = ImageEnhance.Contrast(resized).enhance(1.1)
|
| 148 |
+
return resized
|
| 149 |
+
|
| 150 |
+
def get_default_zoom(pil_image):
|
| 151 |
+
"""Calculate best fit zoom"""
|
| 152 |
+
MAX_WIDTH = 850
|
| 153 |
+
MAX_HEIGHT = 900
|
| 154 |
+
default_scale = min(MAX_WIDTH / pil_image.width, MAX_HEIGHT / pil_image.height, 1.0)
|
| 155 |
+
default_zoom = int(default_scale * 100)
|
| 156 |
+
# Find closest zoom option
|
| 157 |
+
closest = min(ZOOM_OPTIONS, key=lambda x: abs(x - default_zoom))
|
| 158 |
+
return closest
|
| 159 |
+
|
| 160 |
+
def build_gt_record_for_file(file_name: str) -> dict:
|
| 161 |
+
"""
|
| 162 |
+
JSONL record for one remittance image:
|
| 163 |
+
{
|
| 164 |
+
"file_name": "<image>",
|
| 165 |
+
"gt_parse": {
|
| 166 |
+
"remittance_advice_details": {...},
|
| 167 |
+
"customer_supplier_details": {...},
|
| 168 |
+
"bank_details": {...},
|
| 169 |
+
"line_items": [...]
|
| 170 |
+
}
|
| 171 |
+
}
|
| 172 |
+
"""
|
| 173 |
+
values = st.session_state.field_values.get(file_name, {})
|
| 174 |
+
num_items = st.session_state.num_line_items.get(file_name, 1)
|
| 175 |
+
|
| 176 |
+
def v(label: str) -> str:
|
| 177 |
+
return str(values.get(label, "")).strip()
|
| 178 |
+
|
| 179 |
+
gt_parse: dict = {}
|
| 180 |
+
|
| 181 |
+
# Header sections
|
| 182 |
+
for section_name, mapping in HEADER_GROUPS.items():
|
| 183 |
+
section_dict = {}
|
| 184 |
+
for ui_label, json_key in mapping.items():
|
| 185 |
+
section_dict[json_key] = v(ui_label)
|
| 186 |
+
gt_parse[section_name] = section_dict
|
| 187 |
+
|
| 188 |
+
# Line items
|
| 189 |
+
line_items = []
|
| 190 |
+
for idx in range(1, num_items + 1):
|
| 191 |
+
row = {}
|
| 192 |
+
any_non_empty = False
|
| 193 |
+
for ui_label, json_key in LINE_ITEM_FIELD_KEY_MAP.items():
|
| 194 |
+
key = f"Line {idx}: {ui_label}"
|
| 195 |
+
val = str(values.get(key, "")).strip()
|
| 196 |
+
row[json_key] = val
|
| 197 |
+
if val:
|
| 198 |
+
any_non_empty = True
|
| 199 |
+
if any_non_empty:
|
| 200 |
+
line_items.append(row)
|
| 201 |
+
|
| 202 |
+
gt_parse["line_items"] = line_items
|
| 203 |
+
|
| 204 |
+
return {
|
| 205 |
+
"file_name": file_name,
|
| 206 |
+
"gt_parse": gt_parse,
|
| 207 |
+
}
|
| 208 |
+
|
| 209 |
+
def has_any_label(fname: str) -> bool:
|
| 210 |
+
"""Check if file has any labeled values"""
|
| 211 |
+
vals = st.session_state.field_values.get(fname, {})
|
| 212 |
+
return any(str(v).strip() for v in vals.values())
|
| 213 |
+
|
| 214 |
+
# --- Upload ---
|
| 215 |
+
uploaded_files = st.file_uploader(
|
| 216 |
+
"Upload remittance images",
|
| 217 |
+
type=["png", "jpg", "jpeg"],
|
| 218 |
+
accept_multiple_files=True,
|
| 219 |
+
)
|
| 220 |
+
|
| 221 |
+
if not uploaded_files:
|
| 222 |
+
st.info("Upload at least one image to begin.")
|
| 223 |
+
st.stop()
|
| 224 |
+
|
| 225 |
+
images = []
|
| 226 |
+
for f in uploaded_files:
|
| 227 |
+
f.seek(0)
|
| 228 |
+
content = f.read()
|
| 229 |
+
# Store image bytes in session state for stability across reruns
|
| 230 |
+
if f.name not in st.session_state.image_data:
|
| 231 |
+
st.session_state.image_data[f.name] = content
|
| 232 |
+
img = load_image(st.session_state.image_data[f.name])
|
| 233 |
+
images.append({"name": f.name, "image": img, "bytes": st.session_state.image_data[f.name]})
|
| 234 |
+
|
| 235 |
+
file_names = [img["name"] for img in images]
|
| 236 |
+
selected_name = st.selectbox("Select image", file_names)
|
| 237 |
+
st.session_state.selected_image = selected_name
|
| 238 |
+
|
| 239 |
+
selected_img_data = next(img for img in images if img["name"] == selected_name)
|
| 240 |
+
pil_image = selected_img_data["image"]
|
| 241 |
+
image_bytes = selected_img_data["bytes"]
|
| 242 |
+
|
| 243 |
+
# Init for this image
|
| 244 |
+
if selected_name not in st.session_state.field_values:
|
| 245 |
+
st.session_state.field_values[selected_name] = {}
|
| 246 |
+
if selected_name not in st.session_state.field_rects_orig:
|
| 247 |
+
st.session_state.field_rects_orig[selected_name] = {}
|
| 248 |
+
if selected_name not in st.session_state.num_line_items:
|
| 249 |
+
st.session_state.num_line_items[selected_name] = 1
|
| 250 |
+
if selected_name not in st.session_state.rect_version:
|
| 251 |
+
st.session_state.rect_version[selected_name] = 0
|
| 252 |
+
if selected_name not in st.session_state.zoom_values:
|
| 253 |
+
st.session_state.zoom_values[selected_name] = get_default_zoom(pil_image)
|
| 254 |
+
|
| 255 |
+
# ========== FIELD SELECTION ==========
|
| 256 |
+
st.markdown("---")
|
| 257 |
+
|
| 258 |
+
def add_line_item():
|
| 259 |
+
img = st.session_state.selected_image
|
| 260 |
+
if img:
|
| 261 |
+
st.session_state.num_line_items[img] += 1
|
| 262 |
+
|
| 263 |
+
def remove_line_item():
|
| 264 |
+
img = st.session_state.selected_image
|
| 265 |
+
if img and st.session_state.num_line_items[img] > 1:
|
| 266 |
+
last_num = st.session_state.num_line_items[img]
|
| 267 |
+
for lif in LINE_ITEM_FIELDS:
|
| 268 |
+
key = f"Line {last_num}: {lif}"
|
| 269 |
+
st.session_state.field_values[img].pop(key, None)
|
| 270 |
+
st.session_state.field_rects_orig[img].pop(key, None)
|
| 271 |
+
st.session_state.num_line_items[img] -= 1
|
| 272 |
+
st.session_state.rect_version[img] += 1
|
| 273 |
+
|
| 274 |
+
# Initialize field variables with defaults
|
| 275 |
+
display_field_name = SINGLE_FIELDS[0]
|
| 276 |
+
storage_field_name = SINGLE_FIELDS[0]
|
| 277 |
+
base_field_for_color = SINGLE_FIELDS[0]
|
| 278 |
+
|
| 279 |
+
sel_col1, sel_col2, sel_col3, sel_col4 = st.columns([1.5, 1.5, 2, 2])
|
| 280 |
+
|
| 281 |
+
with sel_col1:
|
| 282 |
+
field_type = st.radio("Type", ["Single", "Line Item"], horizontal=True, label_visibility="collapsed")
|
| 283 |
+
|
| 284 |
+
with sel_col2:
|
| 285 |
+
if field_type == "Single":
|
| 286 |
+
field_name = st.selectbox("Field", SINGLE_FIELDS, label_visibility="collapsed")
|
| 287 |
+
display_field_name = field_name
|
| 288 |
+
storage_field_name = field_name
|
| 289 |
+
base_field_for_color = field_name
|
| 290 |
+
else:
|
| 291 |
+
num_items = st.session_state.num_line_items[selected_name]
|
| 292 |
+
line_item_options = [f"Line {i+1}" for i in range(num_items)]
|
| 293 |
+
selected_line_item = st.selectbox("Line", line_item_options, label_visibility="collapsed")
|
| 294 |
+
line_item_num = int(selected_line_item.split()[1])
|
| 295 |
+
|
| 296 |
+
with sel_col3:
|
| 297 |
+
if field_type == "Line Item":
|
| 298 |
+
base_field = st.selectbox("Field", LINE_ITEM_FIELDS, label_visibility="collapsed")
|
| 299 |
+
display_field_name = f"{selected_line_item}: {base_field}"
|
| 300 |
+
storage_field_name = f"Line {line_item_num}: {base_field}"
|
| 301 |
+
base_field_for_color = base_field
|
| 302 |
+
|
| 303 |
+
with sel_col4:
|
| 304 |
+
if field_type == "Line Item":
|
| 305 |
+
# Line items +/- buttons next to line item dropdown
|
| 306 |
+
add_col, rem_col, info_col = st.columns([1, 1, 2])
|
| 307 |
+
with add_col:
|
| 308 |
+
st.button("➕", key=f"addli_{selected_name}", on_click=add_line_item, help="Add line item")
|
| 309 |
+
with rem_col:
|
| 310 |
+
if st.session_state.num_line_items[selected_name] > 1:
|
| 311 |
+
st.button("➖", key=f"remli_{selected_name}", on_click=remove_line_item, help="Remove line item")
|
| 312 |
+
with info_col:
|
| 313 |
+
st.write(f"Lines: **{st.session_state.num_line_items[selected_name]}**")
|
| 314 |
+
|
| 315 |
+
# Guard in case something weird happens
|
| 316 |
+
if not storage_field_name:
|
| 317 |
+
storage_field_name = display_field_name
|
| 318 |
+
|
| 319 |
+
field_color = FIELD_COLORS.get(base_field_for_color or display_field_name, "#FF0000")
|
| 320 |
+
|
| 321 |
+
st.markdown(f"**Current:** <span style='color:{field_color}'>●</span> {display_field_name}", unsafe_allow_html=True)
|
| 322 |
+
|
| 323 |
+
# ========== MAIN COLUMNS ==========
|
| 324 |
+
col1, col2 = st.columns([3, 2])
|
| 325 |
+
|
| 326 |
+
with col1:
|
| 327 |
+
# Zoom controls - selectbox + buttons
|
| 328 |
+
current_zoom = st.session_state.zoom_values[selected_name]
|
| 329 |
+
zoom_index = ZOOM_OPTIONS.index(current_zoom) if current_zoom in ZOOM_OPTIONS else 0
|
| 330 |
+
|
| 331 |
+
# Zoom callbacks
|
| 332 |
+
def do_zoom_out():
|
| 333 |
+
img = st.session_state.selected_image
|
| 334 |
+
curr = st.session_state.zoom_values[img]
|
| 335 |
+
idx = ZOOM_OPTIONS.index(curr) if curr in ZOOM_OPTIONS else 0
|
| 336 |
+
if idx > 0:
|
| 337 |
+
st.session_state.zoom_values[img] = ZOOM_OPTIONS[idx - 1]
|
| 338 |
+
|
| 339 |
+
def do_zoom_in():
|
| 340 |
+
img = st.session_state.selected_image
|
| 341 |
+
curr = st.session_state.zoom_values[img]
|
| 342 |
+
idx = ZOOM_OPTIONS.index(curr) if curr in ZOOM_OPTIONS else 0
|
| 343 |
+
if idx < len(ZOOM_OPTIONS) - 1:
|
| 344 |
+
st.session_state.zoom_values[img] = ZOOM_OPTIONS[idx + 1]
|
| 345 |
+
|
| 346 |
+
def do_zoom_fit():
|
| 347 |
+
img = st.session_state.selected_image
|
| 348 |
+
img_bytes = st.session_state.image_data.get(img)
|
| 349 |
+
if img_bytes:
|
| 350 |
+
pil_img = load_image(img_bytes)
|
| 351 |
+
st.session_state.zoom_values[img] = get_default_zoom(pil_img)
|
| 352 |
+
|
| 353 |
+
zoom_row1, zoom_row2, zoom_row3, zoom_row4 = st.columns([2, 1, 1, 1])
|
| 354 |
+
|
| 355 |
+
with zoom_row1:
|
| 356 |
+
zoom = st.selectbox(
|
| 357 |
+
"🔍 Zoom",
|
| 358 |
+
options=ZOOM_OPTIONS,
|
| 359 |
+
index=zoom_index,
|
| 360 |
+
format_func=lambda x: f"{x}%",
|
| 361 |
+
key=f"zoom_select_{selected_name}",
|
| 362 |
+
label_visibility="collapsed"
|
| 363 |
+
)
|
| 364 |
+
st.session_state.zoom_values[selected_name] = zoom
|
| 365 |
+
|
| 366 |
+
with zoom_row2:
|
| 367 |
+
st.button("➖", key="zoom_out", help="Zoom out", on_click=do_zoom_out)
|
| 368 |
+
|
| 369 |
+
with zoom_row3:
|
| 370 |
+
st.button("➕", key="zoom_in", help="Zoom in", on_click=do_zoom_in)
|
| 371 |
+
|
| 372 |
+
with zoom_row4:
|
| 373 |
+
st.button("Fit", key="zoom_fit", help="Fit to screen", on_click=do_zoom_fit)
|
| 374 |
+
|
| 375 |
+
# Get current zoom value
|
| 376 |
+
zoom = st.session_state.zoom_values[selected_name]
|
| 377 |
+
|
| 378 |
+
scale = zoom / 100.0
|
| 379 |
+
disp_w = int(pil_image.width * scale)
|
| 380 |
+
disp_h = int(pil_image.height * scale)
|
| 381 |
+
|
| 382 |
+
# Get display image - fresh PIL object each time from stable bytes
|
| 383 |
+
display_image = get_display_image_from_bytes(image_bytes, disp_w, disp_h)
|
| 384 |
+
|
| 385 |
+
st.caption(f"Original: {pil_image.width}×{pil_image.height} | Display: {disp_w}×{disp_h}")
|
| 386 |
+
|
| 387 |
+
has_rect = storage_field_name in st.session_state.field_rects_orig[selected_name]
|
| 388 |
+
if has_rect:
|
| 389 |
+
st.success(f"✅ Has rectangle. Draw again to replace.")
|
| 390 |
+
else:
|
| 391 |
+
st.warning(f"⬜ Draw rectangle for this field")
|
| 392 |
+
|
| 393 |
+
def orig_to_display(rect_orig, s):
|
| 394 |
+
return {
|
| 395 |
+
"type": "rect",
|
| 396 |
+
"left": rect_orig["left"] * s,
|
| 397 |
+
"top": rect_orig["top"] * s,
|
| 398 |
+
"width": rect_orig["width"] * s,
|
| 399 |
+
"height": rect_orig["height"] * s,
|
| 400 |
+
"fill": "rgba(0,0,0,0)",
|
| 401 |
+
"stroke": rect_orig.get("stroke", "#FF0000"),
|
| 402 |
+
"strokeWidth": rect_orig.get("strokeWidth", 2),
|
| 403 |
+
"scaleX": 1,
|
| 404 |
+
"scaleY": 1,
|
| 405 |
+
}
|
| 406 |
+
|
| 407 |
+
def display_to_orig(rect_display, s):
|
| 408 |
+
w = rect_display.get("width", 0) * rect_display.get("scaleX", 1)
|
| 409 |
+
h = rect_display.get("height", 0) * rect_display.get("scaleY", 1)
|
| 410 |
+
return {
|
| 411 |
+
"left": rect_display.get("left", 0) / s,
|
| 412 |
+
"top": rect_display.get("top", 0) / s,
|
| 413 |
+
"width": w / s,
|
| 414 |
+
"height": h / s,
|
| 415 |
+
"stroke": rect_display.get("stroke", "#FF0000"),
|
| 416 |
+
"strokeWidth": rect_display.get("strokeWidth", 2),
|
| 417 |
+
}
|
| 418 |
+
|
| 419 |
+
# Build display objects from stored rectangles
|
| 420 |
+
all_display_objects = []
|
| 421 |
+
for fld, rect_orig in st.session_state.field_rects_orig[selected_name].items():
|
| 422 |
+
disp_rect = orig_to_display(rect_orig, scale)
|
| 423 |
+
base = fld.split(": ", 1)[1] if ": " in fld else fld
|
| 424 |
+
disp_rect["stroke"] = FIELD_COLORS.get(base, "#FF0000")
|
| 425 |
+
disp_rect["strokeWidth"] = 3 if fld == storage_field_name else 2
|
| 426 |
+
all_display_objects.append(disp_rect)
|
| 427 |
+
|
| 428 |
+
initial_drawing = {"version": "4.4.0", "objects": all_display_objects}
|
| 429 |
+
expected_count = len(all_display_objects)
|
| 430 |
+
|
| 431 |
+
# Canvas key: includes rect count to force refresh when rectangles change
|
| 432 |
+
rect_ver = st.session_state.rect_version[selected_name]
|
| 433 |
+
num_rects = len(st.session_state.field_rects_orig[selected_name])
|
| 434 |
+
canvas_key = f"canvas_{selected_name}_z{zoom}_rv{rect_ver}_n{num_rects}"
|
| 435 |
+
|
| 436 |
+
# Render canvas
|
| 437 |
+
canvas_result = st_canvas(
|
| 438 |
+
background_image=display_image,
|
| 439 |
+
height=disp_h,
|
| 440 |
+
width=disp_w,
|
| 441 |
+
drawing_mode="rect",
|
| 442 |
+
stroke_width=3,
|
| 443 |
+
stroke_color=field_color,
|
| 444 |
+
fill_color="rgba(255,0,0,0.1)",
|
| 445 |
+
update_streamlit=True,
|
| 446 |
+
initial_drawing=initial_drawing,
|
| 447 |
+
key=canvas_key,
|
| 448 |
+
)
|
| 449 |
+
|
| 450 |
+
# Detect new rectangle
|
| 451 |
+
if canvas_result.json_data is not None:
|
| 452 |
+
objs = canvas_result.json_data.get("objects", [])
|
| 453 |
+
if len(objs) > expected_count:
|
| 454 |
+
new_rect_display = objs[-1]
|
| 455 |
+
new_rect_orig = display_to_orig(new_rect_display, scale)
|
| 456 |
+
new_rect_orig["stroke"] = field_color
|
| 457 |
+
st.session_state.field_rects_orig[selected_name][storage_field_name] = new_rect_orig
|
| 458 |
+
|
| 459 |
+
# Auto-run OCR
|
| 460 |
+
x1 = max(0, int(new_rect_orig["left"]))
|
| 461 |
+
y1 = max(0, int(new_rect_orig["top"]))
|
| 462 |
+
x2 = min(pil_image.width, int(new_rect_orig["left"] + new_rect_orig["width"]))
|
| 463 |
+
y2 = min(pil_image.height, int(new_rect_orig["top"] + new_rect_orig["height"]))
|
| 464 |
+
|
| 465 |
+
if x2 > x1 and y2 > y1:
|
| 466 |
+
crop = pil_image.crop((x1, y1, x2, y2))
|
| 467 |
+
try:
|
| 468 |
+
text = pytesseract.image_to_string(crop, config="--psm 6").strip()
|
| 469 |
+
if text:
|
| 470 |
+
st.session_state.field_values[selected_name][storage_field_name] = text
|
| 471 |
+
st.toast(f"✅ OCR: {text[:50]}{'...' if len(text) > 50 else ''}")
|
| 472 |
+
else:
|
| 473 |
+
st.toast(f"✅ Rectangle saved (no text detected)")
|
| 474 |
+
except Exception:
|
| 475 |
+
st.toast(f"✅ Rectangle saved")
|
| 476 |
+
|
| 477 |
+
with col2:
|
| 478 |
+
# ========== ALL VALUES SECTION (MOVED UP) ==========
|
| 479 |
+
st.markdown("---")
|
| 480 |
+
single_rects = sum(1 for f in st.session_state.field_rects_orig[selected_name] if not f.startswith("Line "))
|
| 481 |
+
num_items = st.session_state.num_line_items[selected_name]
|
| 482 |
+
line_rects = sum(1 for f in st.session_state.field_rects_orig[selected_name] if f.startswith("Line "))
|
| 483 |
+
|
| 484 |
+
st.write(f"**Single:** {single_rects}/{len(SINGLE_FIELDS)} | **Lines ({num_items}):** {line_rects}/{num_items * len(LINE_ITEM_FIELDS)}")
|
| 485 |
+
|
| 486 |
+
with st.expander("📋 All Values"):
|
| 487 |
+
for f in SINGLE_FIELDS:
|
| 488 |
+
v = st.session_state.field_values[selected_name].get(f, "")
|
| 489 |
+
if v.strip():
|
| 490 |
+
st.write(f"**{f}:** {v}")
|
| 491 |
+
for i in range(1, num_items + 1):
|
| 492 |
+
vals = [(lif, st.session_state.field_values[selected_name].get(f"Line {i}: {lif}", ""))
|
| 493 |
+
for lif in LINE_ITEM_FIELDS]
|
| 494 |
+
vals = [(lif, v) for lif, v in vals if v.strip()]
|
| 495 |
+
if vals:
|
| 496 |
+
st.write(f"**Line {i}:**")
|
| 497 |
+
for lif, v in vals:
|
| 498 |
+
st.write(f" {lif}: {v}")
|
| 499 |
+
|
| 500 |
+
# ========== OCR & VALUE SECTION (MOVED DOWN) ==========
|
| 501 |
+
st.markdown("---")
|
| 502 |
+
st.subheader("OCR & Value")
|
| 503 |
+
|
| 504 |
+
current_rect_orig = st.session_state.field_rects_orig[selected_name].get(storage_field_name)
|
| 505 |
+
current_val = st.session_state.field_values[selected_name].get(storage_field_name, "")
|
| 506 |
+
|
| 507 |
+
if current_rect_orig:
|
| 508 |
+
st.caption(f"📐 ({current_rect_orig['left']:.0f}, {current_rect_orig['top']:.0f}) - {current_rect_orig['width']:.0f}×{current_rect_orig['height']:.0f}")
|
| 509 |
+
|
| 510 |
+
x1 = max(0, int(current_rect_orig["left"]))
|
| 511 |
+
y1 = max(0, int(current_rect_orig["top"]))
|
| 512 |
+
x2 = min(pil_image.width, int(current_rect_orig["left"] + current_rect_orig["width"]))
|
| 513 |
+
y2 = min(pil_image.height, int(current_rect_orig["top"] + current_rect_orig["height"]))
|
| 514 |
+
if x2 > x1 and y2 > y1:
|
| 515 |
+
crop = pil_image.crop((x1, y1, x2, y2))
|
| 516 |
+
st.image(crop, caption="Selected Region", width=200)
|
| 517 |
+
|
| 518 |
+
new_val = st.text_area("Value (auto-filled by OCR)", value=current_val, height=80)
|
| 519 |
+
|
| 520 |
+
col_btn1, col_btn2, col_btn3 = st.columns(3)
|
| 521 |
+
|
| 522 |
+
with col_btn1:
|
| 523 |
+
if st.button("💾 Save"):
|
| 524 |
+
st.session_state.field_values[selected_name][storage_field_name] = new_val
|
| 525 |
+
st.success("Saved!")
|
| 526 |
+
|
| 527 |
+
with col_btn2:
|
| 528 |
+
if current_rect_orig and st.button("🔄 Re-OCR"):
|
| 529 |
+
x1 = max(0, int(current_rect_orig["left"]))
|
| 530 |
+
y1 = max(0, int(current_rect_orig["top"]))
|
| 531 |
+
x2 = min(pil_image.width, int(current_rect_orig["left"] + current_rect_orig["width"]))
|
| 532 |
+
y2 = min(pil_image.height, int(current_rect_orig["top"] + current_rect_orig["height"]))
|
| 533 |
+
if x2 > x1 and y2 > y1:
|
| 534 |
+
crop = pil_image.crop((x1, y1, x2, y2))
|
| 535 |
+
try:
|
| 536 |
+
text = pytesseract.image_to_string(crop, config="--psm 6").strip()
|
| 537 |
+
if text:
|
| 538 |
+
st.session_state.field_values[selected_name][storage_field_name] = text
|
| 539 |
+
st.success(f"OCR: {text}")
|
| 540 |
+
else:
|
| 541 |
+
st.warning("Empty result")
|
| 542 |
+
except Exception as e:
|
| 543 |
+
st.error(f"OCR failed: {e}")
|
| 544 |
+
|
| 545 |
+
with col_btn3:
|
| 546 |
+
def delete_rect():
|
| 547 |
+
st.session_state.pending_delete = (selected_name, storage_field_name)
|
| 548 |
+
|
| 549 |
+
if current_rect_orig:
|
| 550 |
+
st.button("🗑️ Delete", on_click=delete_rect)
|
| 551 |
+
|
| 552 |
+
# ========== EXPORT SECTION ==========
|
| 553 |
+
st.markdown("---")
|
| 554 |
+
st.subheader("📤 JSONL Export")
|
| 555 |
+
|
| 556 |
+
# Export ALL labeled remittances
|
| 557 |
+
records_all = [
|
| 558 |
+
build_gt_record_for_file(img["name"])
|
| 559 |
+
for img in images
|
| 560 |
+
if has_any_label(img["name"])
|
| 561 |
+
]
|
| 562 |
+
|
| 563 |
+
if records_all:
|
| 564 |
+
all_jsonl_str = "\n".join(
|
| 565 |
+
json.dumps(rec, ensure_ascii=False) for rec in records_all
|
| 566 |
+
)
|
| 567 |
+
st.download_button(
|
| 568 |
+
"⬇️ Export ALL labeled remittances (JSONL)",
|
| 569 |
+
data=all_jsonl_str.encode("utf-8"),
|
| 570 |
+
file_name="remittances_ground_truth.jsonl",
|
| 571 |
+
mime="application/json",
|
| 572 |
+
)
|
| 573 |
+
else:
|
| 574 |
+
st.caption("No labeled remittances yet to export in bulk.")
|
| 575 |
+
|
| 576 |
+
# Export CURRENT remittance
|
| 577 |
+
current_record = build_gt_record_for_file(selected_name)
|
| 578 |
+
with st.expander("Preview CURRENT remittance JSON"):
|
| 579 |
+
st.json(current_record)
|
| 580 |
|
| 581 |
+
current_jsonl_str = json.dumps(current_record, ensure_ascii=False) + "\n"
|
| 582 |
+
st.download_button(
|
| 583 |
+
"⬇️ Export CURRENT remittance (JSONL)",
|
| 584 |
+
data=current_jsonl_str.encode("utf-8"),
|
| 585 |
+
file_name=f"{os.path.splitext(selected_name)[0]}_remittance.jsonl",
|
| 586 |
+
mime="application/json",
|
| 587 |
+
)
|
|
|
|
|
|
|
|
|
|
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|
|
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