Update app.py

app.py

@@ -20,7 +20,7 @@ css = """
     }
     .gr-button {
         background-color: #007bff;  /* Same color as the heading */
-        color: white;
+        color: #333;
         border-radius: 5px;
         font-size: 16px;
     }
@@ -62,8 +62,6 @@ This model leverages deep learning techniques to classify chest X-ray images as
 - Numpy, Pandas, and Matplotlib for data handling and visualization
 - Flask and Gradio for deployment and user interaction
 
-**Sample Images:**  
-To test the model, select one of the sample images provided below. Click on an image and then press the "Initiate Diagnostic Analysis" button to receive the results.
 """
 
 examples = [
@@ -82,6 +80,9 @@ with gr.Blocks(css=css) as interface:
     submit_btn = gr.Button("Initiate Diagnostic Analysis", elem_classes=["gr-button"])
     submit_btn.click(fn=predict, inputs=image_input, outputs=output)
 
+    gr.Markdown("**Sample Images:** To test the model, select one of the sample images provided below. Click on an image and then press the 'Initiate Diagnostic Analysis' button to receive the results.")
+
+
     gr.Examples(examples=examples, inputs=image_input)
     
     gr.Markdown(description)