Update app.py

app.py

@@ -84,14 +84,30 @@ def quiz_interface():
 
     return interfaces
 
+# Explanation text
+explanation_text = """
+**Welcome to the OCR Tutorial!**
+
+Optical Character Recognition (OCR) is a technology used to convert different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data.
+
+**Steps in the OCR Process:**
+1. **Grayscale Conversion:** The first step in OCR is converting the image to grayscale. This simplifies the image and reduces the amount of data the OCR algorithm needs to process.
+2. **Thresholding:** This step converts the grayscale image into a binary image, where the text is in black, and the background is in white. This makes it easier for the OCR algorithm to distinguish text from the background.
+3. **OCR using EasyOCR:** We use the EasyOCR library to recognize and extract text from the preprocessed image.
+
+Now that you understand the basics, you can try the OCR tool below and then proceed to answer the questions in the other tabs.
+"""
+
 image = gr.Image()
 output = gr.Textbox(label="Output")
+explanation = gr.Markdown(explanation_text)
 
 ocr_app = gr.Interface(
-    generate_ocr,
-    image,
-    output,
+    fn=generate_ocr,
+    inputs=image,
+    outputs=output,
     title="Optical Character Recognition",
+    description=explanation_text,
     css=".gradio-container {background-color: lightgray} #radio_div {background-color: #FFD8B4; font-size: 40px;}"
 )
 
@@ -102,3 +118,4 @@ quiz_app = gr.TabbedInterface(
 )
 
 quiz_app.launch()
+