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app.py

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+import gradio as gr
+import cv2
+import numpy as np
+import pandas as pd
+import pydicom
+import io
+from PIL import Image
+import openpyxl
+from openpyxl.utils import get_column_letter, column_index_from_string
+import logging
+import time
+import traceback
+from functools import wraps
+import sys
+
+print("Starting imports completed...")
+
+# Set up logging
+logging.basicConfig(
+    level=logging.DEBUG,
+    format='%(asctime)s - %(levelname)s - %(message)s',
+    handlers=[
+        logging.FileHandler('dicom_analyzer_debug.log'),
+        logging.StreamHandler(sys.stdout)
+    ]
+)
+
+logger = logging.getLogger(__name__)
+
+def debug_decorator(func):
+    @wraps(func)
+    def wrapper(*args, **kwargs):
+        logger.debug(f"Entering {func.__name__}")
+        start_time = time.time()
+        try:
+            result = func(*args, **kwargs)
+            logger.debug(f"Function {func.__name__} completed successfully")
+            return result
+        except Exception as e:
+            logger.error(f"Error in {func.__name__}: {str(e)}")
+            logger.error(traceback.format_exc())
+            raise
+        finally:
+            end_time = time.time()
+            logger.debug(f"Execution time: {end_time - start_time:.4f} seconds")
+    return wrapper
+
+
+class DicomAnalyzer:
+    def __init__(self):
+        self.results = []
+        self.circle_diameter = 9.0
+        self.zoom_factor = 1.0
+        self.current_image = None
+        self.dicom_data = None
+        self.display_image = None
+        self.marks = []
+        self.original_image = None
+        self.original_display = None
+        self.pan_x = 0
+        self.pan_y = 0
+        self.max_pan_x = 0
+        self.max_pan_y = 0
+        self.CIRCLE_COLOR = (0, 255, 255)  # BGR format
+        self.SMALL_CIRCLES_COLOR = (255, 255, 255)  # BGR white
+        print("DicomAnalyzer initialized...")
+
+    def save_results(self):
+        try:
+            if not self.results:
+                logger.warning("Attempted to save with no results")
+                return None, "No results to save"
+
+            df = pd.DataFrame(self.results)
+            columns_order = ['Area (mm²)', 'Mean', 'StdDev', 'Min', 'Max', 'Point']
+            df = df[columns_order]
+
+            timestamp = time.strftime("%Y%m%d_%H%M%S")
+            output_file = f"analysis_results_{timestamp}.xlsx"
+
+            with pd.ExcelWriter(output_file, engine='openpyxl') as writer:
+                df.to_excel(writer, index=False, sheet_name='Results')
+                
+                worksheet = writer.sheets['Results']
+                for idx, col in enumerate(df.columns):
+                    max_length = max(
+                        df[col].astype(str).apply(len).max(),
+                        len(str(col))
+                    ) + 2
+                    worksheet.column_dimensions[get_column_letter(idx + 1)].width = max_length
+
+            logger.info(f"Results saved successfully to {output_file}")
+            return output_file, f"Results saved successfully to {output_file}"
+
+        except Exception as e:
+            error_msg = f"Error saving results: {str(e)}"
+            logger.error(error_msg)
+            logger.error(traceback.format_exc())
+            return None, error_msg
+
+    def reset_all(self, image):
+        self.results = []
+        self.marks = []
+        self.reset_view()
+        return self.update_display(), "All data has been reset"
+
+    def load_dicom(self, file):
+        try:
+            if file is None:
+                return None, "No file uploaded"
+            
+            if hasattr(file, 'name'):
+                dicom_data = pydicom.dcmread(file.name)
+            else:
+                dicom_data = pydicom.dcmread(file)
+                
+            image = dicom_data.pixel_array.astype(np.float32)
+            self.original_image = image.copy()
+            
+            rescale_slope = getattr(dicom_data, 'RescaleSlope', 1)
+            rescale_intercept = getattr(dicom_data, 'RescaleIntercept', 0)
+            image = (image * rescale_slope) + rescale_intercept
+            
+            self.current_image = image
+            self.dicom_data = dicom_data
+            self.display_image = self.normalize_image(image)
+            self.original_display = self.display_image.copy()
+            
+            self.reset_all(None)
+            print("DICOM file loaded successfully")
+            
+            return self.display_image, "DICOM file loaded successfully"
+        except Exception as e:
+            print(f"Error loading DICOM file: {str(e)}")
+            return None, f"Error loading DICOM file: {str(e)}"
+
+    def normalize_image(self, image):
+        try:
+            normalized = cv2.normalize(
+                image, 
+                None, 
+                alpha=0,
+                beta=255,
+                norm_type=cv2.NORM_MINMAX,
+                dtype=cv2.CV_8U
+            )
+            if len(normalized.shape) == 2:
+                normalized = cv2.cvtColor(normalized, cv2.COLOR_GRAY2BGR)
+            return normalized
+        except Exception as e:
+            print(f"Error normalizing image: {str(e)}")
+            return None
+
+    def reset_view(self):
+        self.zoom_factor = 1.0
+        self.pan_x = 0
+        self.pan_y = 0
+        if self.original_display is not None:
+            return self.update_display()
+        return None
+
+    def zoom_in(self, image):
+        print("Zooming in...")
+        self.zoom_factor = min(20.0, self.zoom_factor + 0.5)
+        return self.update_display()
+
+    def zoom_out(self, image):
+        print("Zooming out...")
+        self.zoom_factor = max(1.0, self.zoom_factor - 0.5)
+        return self.update_display()
+
+    def handle_keyboard(self, key):
+        try:
+            print(f"Handling key press: {key}")
+            pan_amount = int(10 * self.zoom_factor)
+            
+            if key == 'ArrowLeft':
+                self.pan_x = max(0, self.pan_x - pan_amount)
+            elif key == 'ArrowRight':
+                self.pan_x = min(self.max_pan_x, self.pan_x + pan_amount)
+            elif key == 'ArrowUp':
+                self.pan_y = max(0, self.pan_y - pan_amount)
+            elif key == 'ArrowDown':
+                self.pan_y = min(self.max_pan_y, self.pan_y + pan_amount)
+            
+            return self.update_display()
+        except Exception as e:
+            print(f"Error handling keyboard input: {str(e)}")
+            return self.display_image
+
+    def update_display(self):
+        try:
+            if self.original_display is None:
+                return None
+
+            height, width = self.original_display.shape[:2]
+            new_height = int(height * self.zoom_factor)
+            new_width = int(width * self.zoom_factor)
+
+            zoomed = cv2.resize(
+                self.original_display,
+                (new_width, new_height),
+                interpolation=cv2.INTER_CUBIC
+            )
+
+            zoomed_bgr = cv2.cvtColor(zoomed, cv2.COLOR_RGB2BGR)
+
+            for x, y, diameter in self.marks:
+                zoomed_x = int(x * self.zoom_factor)
+                zoomed_y = int(y * self.zoom_factor)
+                zoomed_radius = int((diameter / 2.0) * self.zoom_factor)
+                
+                # Draw the main yellow circle
+                cv2.circle(
+                    zoomed_bgr,
+                    (zoomed_x, zoomed_y),
+                    zoomed_radius,
+                    self.CIRCLE_COLOR,
+                    1,
+                    lineType=cv2.LINE_AA
+                )
+                
+                # Draw 8 small white circles around
+                num_points = 8
+                for i in range(num_points):
+                    angle = 2 * np.pi * i / num_points
+                    point_x = int(zoomed_x + zoomed_radius * np.cos(angle))
+                    point_y = int(zoomed_y + zoomed_radius * np.sin(angle))
+                    cv2.circle(
+                        zoomed_bgr,
+                        (point_x, point_y),
+                        1,
+                        self.SMALL_CIRCLES_COLOR,
+                        -1,
+                        lineType=cv2.LINE_AA
+                    )
+
+            zoomed = cv2.cvtColor(zoomed_bgr, cv2.COLOR_BGR2RGB)
+
+            self.max_pan_x = max(0, new_width - width)
+            self.max_pan_y = max(0, new_height - height)
+            self.pan_x = min(max(0, self.pan_x), self.max_pan_x)
+            self.pan_y = min(max(0, self.pan_y), self.max_pan_y)
+
+            visible = zoomed[
+                int(self.pan_y):int(self.pan_y + height),
+                int(self.pan_x):int(self.pan_x + width)
+            ]
+
+            return visible
+        except Exception as e:
+            print(f"Error updating display: {str(e)}")
+            return self.original_display
+
+    def analyze_roi(self, evt: gr.SelectData):
+        try:
+            if self.current_image is None:
+                return None, "No image loaded"
+
+            clicked_x = evt.index[0]
+            clicked_y = evt.index[1]
+            
+            x = clicked_x + self.pan_x
+            y = clicked_y + self.pan_y
+
+            if self.zoom_factor != 1.0:
+                x = x / self.zoom_factor
+                y = y / self.zoom_factor
+            
+            x = int(round(x))
+            y = int(round(y))
+            
+            height, width = self.original_image.shape[:2]
+            Y, X = np.ogrid[:height, :width]
+            radius = self.circle_diameter / 2.0
+            r_squared = radius * radius
+            
+            dx = X - x
+            dy = Y - y
+            dist_squared = dx * dx + dy * dy
+            
+            mask = np.zeros((height, width), dtype=bool)
+            mask[dist_squared <= r_squared] = True
+            
+            roi_pixels = self.original_image[mask]
+            
+            if len(roi_pixels) == 0:
+                return self.display_image, "Error: No pixels selected"
+
+            pixel_spacing = float(self.dicom_data.PixelSpacing[0])
+            n_pixels = np.sum(mask)
+            area = n_pixels * (pixel_spacing ** 2)
+            
+            mean_value = np.mean(roi_pixels)
+            std_dev = np.std(roi_pixels, ddof=1)
+            min_val = np.min(roi_pixels)
+            max_val = np.max(roi_pixels)
+
+            rescale_slope = getattr(self.dicom_data, 'RescaleSlope', 1)
+            rescale_intercept = getattr(self.dicom_data, 'RescaleIntercept', 0)
+            
+            mean_value = (mean_value * rescale_slope) + rescale_intercept
+            std_dev = std_dev * rescale_slope
+            min_val = (min_val * rescale_slope) + rescale_intercept
+            max_val = (max_val * rescale_slope) + rescale_intercept
+
+            result = {
+                'Area (mm²)': f"{area:.3f}",
+                'Mean': f"{mean_value:.3f}",
+                'StdDev': f"{std_dev:.3f}",
+                'Min': f"{min_val:.3f}",
+                'Max': f"{max_val:.3f}",
+                'Point': f"({x}, {y})"
+            }
+            
+            self.results.append(result)
+            self.marks.append((x, y, self.circle_diameter))
+
+            return self.update_display(), self.format_results()
+        except Exception as e:
+            print(f"Error analyzing ROI: {str(e)}")
+            return self.display_image, f"Error analyzing ROI: {str(e)}"
+
+    def add_formulas_to_template(self, ws, row_pair, col_group, red_font):
+        """
+        Inserts SNR (first row) and CNR (second row) formulas with IFERROR.
+        """
+        try:
+            base_col = col_group[1]  # Mean column
+            std_col  = col_group[2]  # StdDev column
+            
+            row1, row2 = row_pair
+            
+            formula_col = get_column_letter(column_index_from_string(col_group[-1]) + 1)
+            
+            # SNR formula -> row1
+            formula_snr = f"=IFERROR({base_col}{row1}/{std_col}{row1},\"\")"
+            cell_snr = ws[f"{formula_col}{row1}"]
+            cell_snr.value = formula_snr
+            cell_snr.font = red_font
+            cell_snr.alignment = openpyxl.styles.Alignment(horizontal='center')
+            
+            # CNR formula -> row2
+            formula_cnr = f"=IFERROR(({base_col}{row1}-{base_col}{row2})/{std_col}{row2},\"\")"
+            cell_cnr = ws[f"{formula_col}{row2}"]
+            cell_cnr.value = formula_cnr
+            cell_cnr.font = red_font
+            cell_cnr.alignment = openpyxl.styles.Alignment(horizontal='center')
+            
+            logger.debug(f"Added formulas for rows {row1},{row2} in column {formula_col}")
+        except Exception as e:
+            logger.error(f"Error adding formulas: {str(e)}")
+
+    def save_formatted_results(self, output_path):
+        try:
+            if not self.results:
+                return None, "No results to save"
+
+            wb = openpyxl.Workbook()
+            ws = wb.active
+            red_font = openpyxl.styles.Font(color="FF0000")
+            center_alignment = openpyxl.styles.Alignment(horizontal='center', vertical='center')
+            
+            headers = ['Area', 'Mean', 'StdDev', 'Min', 'Max']
+
+            column_groups = [
+                ('B', 'C', 'D', 'E', 'F'), ('H', 'I', 'J', 'K', 'L'),
+                ('N', 'O', 'P', 'Q', 'R'), ('T', 'U', 'V', 'W', 'X'),
+                ('Z', 'AA', 'AB', 'AC', 'AD'), ('AF', 'AG', 'AH', 'AI', 'AJ'),
+                ('AL', 'AM', 'AN', 'AO', 'AP'), ('AR', 'AS', 'AT', 'AU', 'AV'),
+                ('AX', 'AY', 'AZ', 'BA', 'BB'), ('BD', 'BE', 'BF', 'BG', 'BH'),
+                ('BJ', 'BK', 'BL', 'BM', 'BN'), ('BP', 'BQ', 'BR', 'BS', 'BT'),
+                ('BV', 'BW', 'BX', 'BY', 'BZ')
+            ]
+            
+            # Write the headers in row1 for each column group.
+            for cols in column_groups:
+                for i, header in enumerate(headers):
+                    cell = ws[f"{cols[i]}1"]
+                    cell.value = header
+                    cell.alignment = center_alignment
+
+            row_pairs = [
+                (2, 3), (5, 6), (8, 9), (11, 12), (14, 15),
+                (17, 18), (20, 21), (23, 24), (26, 27), (29, 30)
+            ]
+
+            phantom_sizes = [
+                '(7mm)', '(6.5mm)', '(6mm)', '(5.5mm)', '(5mm)',
+                '(4.5mm)', '(4mm)', '(3.5mm)', '(3mm)', '(2.5mm)'
+            ]
+            
+            # Put phantom size labels in column A above each row pair.
+            for i, size in enumerate(phantom_sizes):
+                header_cell = ws.cell(row=row_pairs[i][0]-1, column=1, value=size)
+                header_cell.font = red_font
+                header_cell.alignment = center_alignment
+
+            # Write the results in the row pairs, add SNR/CNR formulas.
+            result_idx = 0
+            current_col_group = 0
+            current_row_pair = 0
+            
+            while result_idx < len(self.results):
+                if current_row_pair >= len(row_pairs):
+                    break
+                    
+                cols = column_groups[current_col_group]
+                row1, row2 = row_pairs[current_row_pair]
+                
+                if result_idx < len(self.results):
+                    result = self.results[result_idx]
+                    self._write_result_to_cells(ws, result, cols, row1)
+                    result_idx += 1
+                
+                if result_idx < len(self.results):
+                    result = self.results[result_idx]
+                    self._write_result_to_cells(ws, result, cols, row2)
+                    result_idx += 1
+                
+                self.add_formulas_to_template(ws, (row1,row2), cols, red_font)
+                
+                current_col_group += 1
+                if current_col_group >= len(column_groups):
+                    current_col_group = 0
+                    current_row_pair += 1
+
+            # Center-align the raw data rows (2..30) in all column groups.
+            for cols in column_groups:
+                for col in cols:
+                    for row in range(2, 31):
+                        cell = ws[f"{col}{row}"]
+                        if cell.value is not None:
+                            cell.alignment = center_alignment
+
+            #########################################################
+            # تصميم "1-AVG" في الصف 35، مع تجاهل الأصفار في الحساب
+            #########################################################
+            start_row = 35
+            ws['C35'] = "1-AVG"
+            ws['C35'].alignment = center_alignment
+
+            ws.merge_cells('D35:E35')
+            ws.merge_cells('F35:G35')
+            ws.merge_cells('H35:I35')
+
+            headers_avg = {
+                'D35': 'AVG MEAN',
+                'F35': 'AVG STDDEV',
+                'H35': 'AVG CNR'
+            }
+            for c_ref, text_val in headers_avg.items():
+                ws[c_ref] = text_val
+                ws[c_ref].font = red_font
+                ws[c_ref].alignment = center_alignment
+
+            # We'll keep the same 10 phantom sizes, to fill rows 36..45.
+            phantom_sizes2 = [
+                '(7.0mm)', '(6.5mm)', '(6.0mm)', '(5.5mm)', '(5.0mm)',
+                '(4.5mm)', '(4.0mm)', '(3.5mm)', '(3.0mm)', '(2.5mm)'
+            ]
+
+            for i, size_label in enumerate(phantom_sizes2):
+                row = start_row + i + 1  # 36..45
+
+                ws.merge_cells(f'D{row}:E{row}')
+                ws.merge_cells(f'F{row}:G{row}')
+                ws.merge_cells(f'H{row}:I{row}')
+
+                c_cell = ws[f'C{row}']
+                c_cell.value = size_label
+                c_cell.font = red_font
+                c_cell.alignment = center_alignment
+
+                if i >= len(row_pairs):
+                    continue
+                (raw_row1, raw_row2) = row_pairs[i]
+
+                mean_values = []
+                stddev_values = []
+                cnr_cells = []  # We'll store references to the row2 formula for CNR
+
+                # Loop over column_groups to gather Mean (row1), StdDev (row1), and CNR references (row2).
+                for group in column_groups:
+                    mean_col = group[1]  # e.g. 'C'
+                    std_col  = group[2]  # e.g. 'D'
+                    
+                    # Read mean from row1 => if 0 => skip.
+                    m1_val = ws[f"{mean_col}{raw_row1}"].value
+                    try:
+                        m1_val = float(m1_val) if m1_val not in [None,''] else None
+                    except:
+                        m1_val = None
+                    # تجاهل أي خلية = 0
+                    if m1_val == 0:
+                        m1_val = None
+                    
+                    if m1_val is not None:
+                        mean_values.append(m1_val)
+
+                    # Read std from row1 => if 0 => skip.
+                    s1_val = ws[f"{std_col}{raw_row1}"].value
+                    try:
+                        s1_val = float(s1_val) if s1_val not in [None,''] else None
+                    except:
+                        s1_val = None
+                    if s1_val == 0:
+                        s1_val = None
+
+                    if s1_val is not None:
+                        stddev_values.append(s1_val)
+
+                    # For CNR, we have formula in the column after group[-1], row2.
+                    formula_col = get_column_letter(column_index_from_string(group[-1]) + 1)
+                    cnr_cell_ref = f"{formula_col}{raw_row2}"
+
+                    # حتى لا نُدخل خلية الـCNR في الحساب إن كانت قيم الصف الثاني = 0
+                    # مثلاً mean2=0 أو std2=0 => نعتبرها غير صالحة.
+                    mean2_val = ws[f"{mean_col}{raw_row2}"].value
+                    std2_val  = ws[f"{std_col}{raw_row2}"].value
+                    try:
+                        mean2_val = float(mean2_val) if mean2_val not in [None,''] else None
+                        std2_val  = float(std2_val)  if std2_val  not in [None,''] else None
+                    except:
+                        mean2_val, std2_val = None, None
+
+                    if mean2_val == 0:
+                        mean2_val = None
+                    if std2_val == 0:
+                        std2_val = None
+
+                    # لو عندك منطق إضافي: التحقق أن Mean1 !=0 أيضاً (m1_val) 
+                    # إذا أردت تجاهل الخلية إن كان m1_val=0...الخ.
+                    # لكن عادة, تحسب CNR من Mean1,Mean2,Std2 => if any=0 => skip.
+                    # نحسب Mean1 من نفس row1_col.
+                    # m1_val = read it above, but we didn't store it if zero => might do it again.
+                    
+                    # Decide if we require m1_val !=0 too? If so:
+                    if (m1_val is not None) and (mean2_val is not None) and (std2_val is not None):
+                        cnr_cells.append(cnr_cell_ref)
+
+                # حساب متوسط المين.
+                final_mean = sum(mean_values)/len(mean_values) if mean_values else None
+                if final_mean is not None:
+                    ws[f'D{row}'].value = final_mean
+                    ws[f'D{row}'].alignment = center_alignment
+                    ws[f'D{row}'].number_format = '0.0000'
+
+                # حساب متوسط stddev
+                final_std = sum(stddev_values)/len(stddev_values) if stddev_values else None
+                if final_std is not None:
+                    ws[f'F{row}'].value = final_std
+                    ws[f'F{row}'].alignment = center_alignment
+                    ws[f'F{row}'].number_format = '0.0000'
+
+                # أما الـCNR, فننشئ صيغة AVERAGE(...) لو عندنا cnr_cells.
+                if cnr_cells:
+                    formula_avg_cnr = f"=IFERROR(AVERAGE({','.join(cnr_cells)}),\"\")"
+                    ws[f'H{row}'].value = formula_avg_cnr
+                    ws[f'H{row}'].alignment = center_alignment
+                    ws[f'H{row}'].number_format = '0.0000'
+
+            # Add thin border around the region C35..I45.
+            thin_side = openpyxl.styles.Side(style='thin')
+            border = openpyxl.styles.Border(
+                left=thin_side, right=thin_side, top=thin_side, bottom=thin_side
+            )
+            for r in range(35, 46):
+                for col in ['C','D','E','F','G','H','I']:
+                    ws[f"{col}{r}"].border = border
+
+            wb.save(output_path)
+            return output_path, f"Results saved successfully ({len(self.results)} measurements)"
+        except Exception as e:
+            logger.error(f"Error saving formatted results: {str(e)}")
+            return None, f"Error saving results: {str(e)}"
+
+    def _write_result_to_cells(self, ws, result, cols, row):
+        center_alignment = openpyxl.styles.Alignment(horizontal='center')
+        
+        value_mapping = {
+            'Area': 'Area (mm²)',
+            'Mean': 'Mean',
+            'StdDev': 'StdDev',
+            'Min': 'Min',
+            'Max': 'Max'
+        }
+        
+        for i, (header, key) in enumerate(value_mapping.items()):
+            cell = ws[f"{cols[i]}{row}"]
+            val = result[key]
+            cell.value = float(val) if val not in ['', None] else ''
+            cell.alignment = center_alignment
+
+    def format_results(self):
+        if not self.results:
+            return "No measurements yet"
+        df = pd.DataFrame(self.results)
+        columns_order = ['Area (mm²)', 'Mean', 'StdDev', 'Min', 'Max', 'Point']
+        df = df[columns_order]
+        return df.to_string(index=False)
+
+    def add_zero_row(self, image):
+        self.results.append({
+            'Area (mm²)': '0.000',
+            'Mean': '0.000',
+            'StdDev': '0.000',
+            'Min': '0.000',
+            'Max': '0.000',
+            'Point': '(0, 0)'
+        })
+        return image, self.format_results()
+
+    def add_two_zero_rows(self, image):
+        for _ in range(2):
+            self.results.append({
+                'Area (mm²)': '0.000',
+                'Mean': '0.000',
+                'StdDev': '0.000',
+                'Min': '0.000',
+                'Max': '0.000',
+                'Point': '(0, 0)'
+            })
+        return image, self.format_results()
+
+    def undo_last(self, image):
+        if not self.results:  # لا توجد نتائج
+            return self.update_display(), self.format_results()
+            
+        last_result = self.results[-1]
+        is_measurement = (last_result['Point'] != '(0, 0)')
+        self.results.pop()
+        
+        if is_measurement and self.marks:
+            self.marks.pop()
+            
+        return self.update_display(), self.format_results()
+
+
+def create_interface():
+    print("Creating interface...")
+    analyzer = DicomAnalyzer()
+    
+    with gr.Blocks(css="#image_display { outline: none; }") as interface:
+        gr.Markdown("# DICOM Image Analyzer")
+        
+        with gr.Row():
+            with gr.Column():
+                file_input = gr.File(label="Upload DICOM file")
+                diameter_slider = gr.Slider(
+                    minimum=1,
+                    maximum=20,
+                    value=9,
+                    step=1,
+                    label="ROI Diameter (pixels)"
+                )
+                
+                with gr.Row():
+                    zoom_in_btn = gr.Button("Zoom In (+)")
+                    zoom_out_btn = gr.Button("Zoom Out (-)")
+                    reset_btn = gr.Button("Reset View")
+                    reset_all_btn = gr.Button("Reset All")
+                
+            with gr.Column():
+                image_display = gr.Image(
+                    label="DICOM Image",
+                    interactive=True,
+                    elem_id="image_display"
+                )
+                
+        with gr.Row():
+            zero_btn = gr.Button("Add Zero Row")
+            zero2_btn = gr.Button("Add Two Zero Rows")
+            undo_btn = gr.Button("Undo Last")
+            save_btn = gr.Button("Save Results")
+            save_formatted_btn = gr.Button("Save Formatted Results")
+            
+        results_display = gr.Textbox(label="Results", interactive=False)
+        file_output = gr.File(label="Download Results")
+        key_press = gr.Textbox(visible=False, elem_id="key_press")
+        
+        gr.Markdown("""
+        ### Controls:
+        - Use arrow keys to pan when zoomed in. Movement is now larger.
+        - Click points to measure ROI.
+        - Use Zoom In/Out buttons or Reset View to adjust zoom level.
+        - Use Reset All to clear all measurements.
+        - "Save Results": basic Excel with raw data.
+        - "Save Formatted Results": Excel with advanced formatting & formulas.
+        """)
+
+        def update_diameter(x):
+            analyzer.circle_diameter = float(x)
+            print(f"Diameter updated to: {x}")
+            return f"Diameter set to {x} pixels"
+
+        def save_formatted():
+            output_path = "analysis_results_formatted.xlsx"
+            return analyzer.save_formatted_results(output_path)
+
+        file_input.change(
+            fn=analyzer.load_dicom,
+            inputs=file_input,
+            outputs=[image_display, results_display]
+        )
+        
+        image_display.select(
+            fn=analyzer.analyze_roi,
+            outputs=[image_display, results_display]
+        )
+        
+        diameter_slider.change(
+            fn=update_diameter,
+            inputs=diameter_slider,
+            outputs=gr.Textbox(label="Status")
+        )
+        
+        zoom_in_btn.click(
+            fn=analyzer.zoom_in,
+            inputs=image_display,
+            outputs=image_display,
+            queue=False
+        )
+        
+        zoom_out_btn.click(
+            fn=analyzer.zoom_out,
+            inputs=image_display,
+            outputs=image_display,
+            queue=False
+        )
+        
+        reset_btn.click(
+            fn=analyzer.reset_view,
+            outputs=image_display
+        )
+        
+        reset_all_btn.click(
+            fn=analyzer.reset_all,
+            inputs=image_display,
+            outputs=[image_display, results_display]
+        )
+        
+        key_press.change(
+            fn=analyzer.handle_keyboard,
+            inputs=key_press,
+            outputs=image_display
+        )
+        
+        zero_btn.click(
+            fn=analyzer.add_zero_row,
+            inputs=image_display,
+            outputs=[image_display, results_display]
+        )
+        
+        zero2_btn.click(
+            fn=analyzer.add_two_zero_rows,
+            inputs=image_display,
+            outputs=[image_display, results_display]
+        )
+
+        undo_btn.click(
+            fn=analyzer.undo_last,
+            inputs=image_display,
+            outputs=[image_display, results_display]
+        )
+        
+        save_btn.click(
+            fn=analyzer.save_results,
+            outputs=[file_output, results_display]
+        )
+
+        save_formatted_btn.click(
+            fn=save_formatted,
+            outputs=[file_output, results_display]
+        )
+
+        # JavaScript to capture arrow keys and pass to Gradio.
+        js = """
+        <script>
+        document.addEventListener('keydown', function(e) {
+            if (['ArrowUp','ArrowDown','ArrowLeft','ArrowRight'].includes(e.key)) {
+                e.preventDefault();
+                const el = document.querySelector('#key_press textarea');
+                if (el) {
+                    el.value = e.key;
+                    el.dispatchEvent(new Event('input'));
+                    setTimeout(() => {
+                      el.value = '';
+                      el.dispatchEvent(new Event('input'));
+                    }, 100);
+                }
+            }
+        });
+        </script>
+        """
+        gr.HTML(js)
+    
+    print("Interface created successfully")
+    return interface
+
+
+if __name__ == "__main__":
+    try:
+        print("Starting application...")
+        interface = create_interface()
+        print("Launching interface...")
+        interface.queue()
+        interface.launch(
+            server_name="0.0.0.0",
+            server_port=7860,
+            share=True,
+            debug=True,
+            show_error=True,
+            quiet=False
+        )
+    except Exception as e:
+        print(f"Error launching application: {str(e)}")
+        logger.error(f"Error launching application: {str(e)}")
+        logger.error(traceback.format_exc())
+        raise e

requirements.txt

@@ -0,0 +1,6 @@
+gradio
+numpy
+pandas
+opencv-python
+pydicom
+openpyxl