create requirements.txt

app.py

@@ -0,0 +1,48 @@
+import easyocr
+import gradio as gr
+import re
+
+# Initialize EasyOCR reader with English and Hindi languages
+reader = easyocr.Reader(['en', 'hi'])
+
+# Define the OCR function
+def ocr_text(image):
+    """
+    Performs OCR on the given image and returns the extracted text.
+    Args:
+        image: The image to perform OCR on.
+    Returns:
+        The extracted text and the original image.
+    """
+    result = reader.readtext(image)
+    full_text = ' '.join([text for _, text, _ in result])
+    return full_text, image
+
+# Define the text highlighting function
+def highlight_text(full_text, search_term):
+    """
+    Highlights the search term in the given text.
+    Args:
+        full_text: The text to search in.
+        search_term: The term to search for.
+    Returns:
+        The text with the search term highlighted.
+    """
+    if search_term:
+        highlighted_text = re.sub(f"({search_term})", r"<mark>\1</mark>", full_text, flags=re.IGNORECASE)
+        return highlighted_text
+    return full_text
+
+# Define the Gradio interface
+with gr.Blocks() as demo:
+    image_input = gr.Image(type="filepath")
+    extracted_text = gr.Textbox(lines=5, placeholder="Extracted text will appear here...")
+    ocr_button = gr.Button("Extract Text")
+    ocr_button.click(fn=ocr_text, inputs=image_input, outputs=[extracted_text, image_input])
+
+    search_term = gr.Textbox(lines=1, placeholder="Enter search term")
+    highlighted_text = gr.HTML()
+    search_button = gr.Button("Search")
+    search_button.click(fn=highlight_text, inputs=[extracted_text, search_term], outputs=highlighted_text)
+
+demo.launch(share=True)