implemeted ocr

app.py

@@ -0,0 +1,57 @@
+import os
+import easyocr
+import gradio as gr 
+from PIL import Image
+
+reader = easyocr.Reader(['en', 'hi'], gpu=False)
+
+def convert_hindi_numerals_to_arabic(text):
+    hindi_to_arabic = {
+        '०': '0', '१': '1', '२': '2', '३': '3', '४': '4',
+        '५': '5', '६': '6', '७': '7', '८': '8', '९': '9'
+    }
+    for hindi, arabic in hindi_to_arabic.items():
+        text = text.replace(hindi, arabic)
+    return text
+
+def extract_text(image_path):
+    img = Image.open(image_path)
+
+    temp_jpg_path = "temp_image.jpg"
+    img.convert("RGB").save(temp_jpg_path,"JPEG")
+
+    result = reader.readtext(temp_jpg_path, detail=0) 
+    extracted_text = " ".join(result)
+    extracted_text = convert_hindi_numerals_to_arabic(extracted_text)
+
+    os.remove(temp_jpg_path)
+
+    return extracted_text
+
+def search_text(image_path, keyword):
+    extracted_text = extract_text(image_path)
+    if keyword.lower() in extracted_text.lower():
+        return f"Keyword '{keyword}' found in the extracted text.", extracted_text
+    else:
+        return f"Keyword '{keyword}' not found in the extracted text.", extracted_text
+
+def create_interface():
+    interface = gr.Interface(
+        fn=search_text, 
+        inputs=[
+            gr.Image(type="filepath", label="Upload Image"),  # Changed to filepath
+            gr.Textbox(lines=1, placeholder="Enter keyword to search", label="Keyword") 
+        ],
+        outputs=[
+            gr.Textbox(label="Search Result"),  
+            gr.Textbox(label="Extracted Text")  
+        ],
+        title="OCR and Keyword Search Application",
+        description="Upload an image containing text in English or Hindi. Enter a keyword to search within the extracted text.",
+    )
+    
+    return interface
+
+if __name__ == "__main__":
+    interface = create_interface()
+    interface.launch(share=True)