Upload app.py

app.py

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+import pytesseract
+from PIL import Image
+import gradio as gr
+import re
+
+pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'
+
+def perform_ocr(image):
+    text = pytesseract.image_to_string(image, lang='hin+eng')
+    return text
+
+def search_first_keyword_in_text(text, keyword):
+    if keyword:
+        text = text.replace('\n', ' ')
+        sentences = re.split(r'(?<=[.!?]) +', text)
+        for sentence in sentences:
+            if re.search(keyword, sentence, re.IGNORECASE):
+                highlighted_sentence = re.sub(f'({re.escape(keyword)})', r'<b>\1</b>', sentence, flags=re.IGNORECASE)
+                return highlighted_sentence.strip()
+        return "No matching sentence found."
+    else:
+        return "Please enter a keyword to search."
+
+def ocr_and_search(image, keyword):
+    try:
+        extracted_text = perform_ocr(image)
+        search_result = search_first_keyword_in_text(extracted_text, keyword)
+        return extracted_text, search_result
+    except Exception as e:
+        return str(e), str(e)
+
+def web_app():
+    interface = gr.Interface(
+        fn=ocr_and_search,
+        inputs=[
+            gr.Image(type="pil", label="Upload Image"),
+            gr.Textbox(placeholder="Enter keyword to search", label="Keyword Search")
+        ],
+        outputs=[
+            gr.Textbox(label="Extracted Text", lines=10),
+            gr.HTML(label="Search Result (First Matching Sentence)")
+        ],
+        title="OCR and Keyword Search Application"
+    )
+    interface.launch()
+
+if __name__ == "__main__":
+    web_app()