Update app.py

app.py

@@ -188,10 +188,6 @@ with gr.Blocks() as demo:
     examples_inpainting = gr.Examples(
         label="Multimodal Understanding examples",
         examples=[
-            [
-                "explain this meme",
-                "doge.png",
-            ],
             [
                 """Analyze the provided fundus image in exhaustive detail, following the standard ophthalmological protocol for fundus examination.  Output an HTML report structured as a formal medical document.  The report MUST:
 
@@ -241,9 +237,7 @@ with gr.Blocks() as demo:
 8.  **Disclaimer:** Include a disclaimer stating that the report is based on image analysis alone and does not replace a full clinical examination.
 
 9. **HTML Structure:**  Use semantic HTML elements (h1-h3, p, ol, ul, table, div) to create a well-structured, readable report.  Include:
-    *  A report header with a title ("EyeUnit.ai | AI for Ophthalmology") and a logo placeholder.
-    *  An image comparison section displaying the original fundus image and a placeholder for a heatmap (a canvas element with id "heatmapCanvas"). No actual heatmap generation is required; the canvas is a placeholder.
-    * A placeholder for patient information(PATIENT ID, NAME, AGE, DATE OF EXAM)
+    *  A report header with a title ("EyeUnit.ai | AI for Ophthalmology") and a logo 
     *  Clearly labeled sections for each part of the analysis.
     *  Tables for the "Overall Analysis Coverage" and "AI-Driven Attention Metrics."
 
@@ -252,8 +246,7 @@ with gr.Blocks() as demo:
      * **PATIENT ID, NAME, AGE and DATE OF EXAM**
 
 11. **Crucial Details:** Output ONLY the complete HTML code. Do not provide any surrounding text or explanations. Focus solely on generating the HTML report.
-12. **IMG SOURCE:** Use this image as the image source: `<img src="https://i.imgur.com/kZ35oQV.jpg" alt="Original Fundus  
-"""      ,          "equation.png",
+"""      ,          "fundus.png",
             ],
         ],
         inputs=[question_input, image_input],