init

app.py

@@ -0,0 +1,32 @@
+import gradio as gr
+from PIL import Image
+import pytesseract
+
+custom_css = """
+    .big-font textarea {
+        font-size: 20px !important;
+    }
+"""
+
+def extract_text(image):
+    # Convert the image to text using pytesseract
+    text = pytesseract.image_to_string(image)
+    return text
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=extract_text,
+    inputs=gr.Image(type="pil"),  # Accept PIL images directly
+    outputs=gr.Textbox(lines=20,
+                       max_lines=10,
+                       label='Extracted Text',
+                       elem_classes=["big-font"]
+                       ),
+    title="Text Extraction",
+    description="Upload an image to extract text",
+    allow_flagging='never',
+    css=custom_css
+)
+
+# Launch the app
+iface.launch()