Update app.py

app.py

@@ -152,11 +152,10 @@ def run_inference_and_analysis(task, system_prompt, input_text, temperature, top
 # Gradio interface
 def gradio_interface():
     with gr.Blocks(theme=gr.themes.Base(), title="Prompt Engineering and LLM Studio") as demo:
-        gr.Markdown(
+        gr.HTML(
             """
             <div style="margin-bottom: 20px;">
                 <img src="https://raw.githubusercontent.com/pixeltable/pixeltable/main/docs/source/data/pixeltable-logo-large.png" alt="Pixeltable" style="max-width: 150px;" />
-                <h2>Text and Image similarity search on video frames with embedding indexes</h2>
             </div>
             """
         ) 
@@ -257,21 +256,6 @@ def gradio_interface():
                             ],
                             wrap=True
                         )
-
-                # Define the examples
-                examples = [
-                    # Example 1: Sentiment Analysis
-                    ["Sentiment Analysis", 
-                    "You are an AI trained to analyze the sentiment of text. Provide a detailed analysis of the emotional tone, highlighting key phrases that indicate sentiment.",
-                    "The new restaurant downtown exceeded all my expectations. The food was exquisite, the service impeccable, and the ambiance was perfect for a romantic evening. I can't wait to go back!",
-                    0.3, 0.95, 200, None, "", None, False],
-                    
-                    # Example 2: Creative Writing
-                    ["Story Generation",
-                    "You are a creative writer. Generate a short, engaging story based on the given prompt. Include vivid descriptions and an unexpected twist.",
-                    "In a world where dreams are shared, a young girl discovers she can manipulate other people's dreams.",
-                    0.9, 0.8, 500, 200, "The end.", None, False]
-                ]
             
             with gr.Column():
                 omn_response = gr.Textbox(label="Open-Mistral-Nemo Response")
@@ -288,13 +272,28 @@ def gradio_interface():
                 with gr.Row():
                     large_readability = gr.Number(label="Mistral-Medium Readability")
                     open_readability = gr.Number(label="Open-Mistral-Nemo Readability")
+
+        # Define the examples
+        examples = [
+            # Example 1: Sentiment Analysis
+            ["Sentiment Analysis", 
+            "You are an AI trained to analyze the sentiment of text. Provide a detailed analysis of the emotional tone, highlighting key phrases that indicate sentiment.",
+            "The new restaurant downtown exceeded all my expectations. The food was exquisite, the service impeccable, and the ambiance was perfect for a romantic evening. I can't wait to go back!",
+            0.3, 0.95, 200, None, "", None, False],
+            
+            # Example 2: Creative Writing
+            ["Story Generation",
+            "You are a creative writer. Generate a short, engaging story based on the given prompt. Include vivid descriptions and an unexpected twist.",
+            "In a world where dreams are shared, a young girl discovers she can manipulate other people's dreams.",
+            0.9, 0.8, 500, 200, "The end.", None, False]
+                ]
                     
         gr.Examples(
             examples=examples,
             inputs=[task, system_prompt, input_text, temperature, top_p, max_tokens, min_tokens, stop, random_seed, safe_prompt],
             outputs=[omn_response, ml_response, large_sentiment, open_sentiment, large_keywords, open_keywords, large_readability, open_readability],
             fn=run_inference_and_analysis,
-            cache_examples=True,
+            cache_examples=False,
         )
 
         gr.Markdown(