First version

app.py

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+import cv2
+import numpy as np
+import pytesseract
+import re
+import gradio as gr
+
+# Regex pattern for allowed card values
+VALID_PATTERN = re.compile(r"-?\d+")
+
+def extract_card_value(card_img):
+    """Extract numeric value from a card using OCR + regex"""
+    gray = cv2.cvtColor(card_img, cv2.COLOR_BGR2GRAY)
+    gray = cv2.GaussianBlur(gray, (3,3), 0)
+    thresh = cv2.threshold(gray, 120, 255, cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)[1]
+
+    # OCR: digits + minus sign allowed
+    raw_text = pytesseract.image_to_string(
+        thresh,
+        config="--psm 6 -c tessedit_char_whitelist=-0123456789"
+    )
+
+    matches = VALID_PATTERN.findall(raw_text)
+    for m in matches:
+        try:
+            return int(m)
+        except ValueError:
+            continue
+    return None
+
+def detect_cards_and_sum(image):
+    """Main pipeline to detect cards, extract values, and return results."""
+    try:
+        if image is None:
+            return 0, 0, "No image provided."
+
+        # Convert PIL/NumPy image to OpenCV BGR
+        if not isinstance(image, np.ndarray):
+            image = np.array(image.convert("RGB"))
+        img = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
+
+        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+        blur = cv2.GaussianBlur(gray, (5,5), 0)
+        thresh = cv2.threshold(blur, 120, 255, cv2.THRESH_BINARY+cv2.THRESH_OTSU)[1]
+
+        contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+
+        total = 0
+        detected_values = []
+
+        for cnt in contours:
+            peri = cv2.arcLength(cnt, True)
+            approx = cv2.approxPolyDP(cnt, 0.02 * peri, True)
+
+            if len(approx) == 4:  # rectangle → card
+                pts = np.float32(approx.reshape(4, 2))
+                dst = np.array([[0,0],[200,0],[200,300],[0,300]], dtype="float32")
+                M = cv2.getPerspectiveTransform(pts, dst)
+                warp = cv2.warpPerspective(img, M, (200,300))
+
+                value = extract_card_value(warp)
+                if value is not None:
+                    detected_values.append(value)
+                    total += value
+
+        if not detected_values:
+            return 0, 0, "No valid card values detected. Try clearer lighting or adjusting the photo."
+
+        return len(detected_values), total, None
+
+    except Exception as e:
+        return 0, 0, f"Error: {str(e)}"
+
+# Gradio UI
+demo = gr.Interface(
+    fn=detect_cards_and_sum,
+    inputs=gr.Image(type="pil", label="Upload a photo of your cards"),
+    outputs=[
+        gr.Number(label="Detected Cards"),
+        gr.Number(label="Total Sum"),
+        gr.Textbox(label="Error Message", type="text")
+    ],
+    title="Card Value Detector (Skyjo / Flip7)",
+    description="Upload a photo of multiple cards. The system will detect the numbers and return their sum."
+)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+opencv-python
+numpy
+pytesseract
+gradio