Create image_ocr_llm.py

tabs/image_ocr_llm.py

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+import gradio as gr
+from components.llm_ocr import extract_text_llm
+
+def image_ocr_llm_tab():
+    gr.Markdown("## 📸 Extract Handwritten Text from Image using LLaMA-Vision", elem_classes="centered-text")
+
+    with gr.Row():
+        with gr.Column(scale=1):
+            input_image = gr.Image(type="filepath", label="Upload Handwritten Image")
+            submit_btn = gr.Button("Extract Text")
+        with gr.Column(scale=2):
+            extracted_output = gr.Textbox(label="Extracted Text", lines=20)
+
+    submit_btn.click(fn=extract_text_llm, inputs=input_image, outputs=extracted_output)