Create app.py

app.py

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+import gradio as gr
+import pytesseract
+import cv2
+import re
+from sympy import sympify
+
+# Function to extract math problems from an image
+def extract_text_from_image(image):
+    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)  # Convert image to grayscale
+    text = pytesseract.image_to_string(gray)        # Perform OCR to extract text
+    math_problems = re.findall(r'[\d+\-*/().]+', text)  # Filter for potential math expressions
+    return math_problems
+
+# Function to solve the extracted math problems
+def solve_math_problem(problem):
+    try:
+        expression = sympify(problem)
+        result = expression.evalf()
+        return result
+    except Exception as e:
+        return f"Error: {e}"
+
+# Main function to recognize and solve math problems from an image
+def recognize_and_solve(image):
+    problems = extract_text_from_image(image)
+    solutions = [f"{p} = {solve_math_problem(p)}" for p in problems]
+    return "\n".join(solutions) if solutions else "No math problems detected."
+
+# Gradio interface
+interface = gr.Interface(
+    fn=recognize_and_solve,
+    inputs="image",
+    outputs="text",
+    title="Math Problem Recognizer and Solver",
+    description="Upload an image containing math problems, and this app will recognize and solve them."
+)
+
+# Launch the Gradio app
+interface.launch()