Update app.py

app.py

@@ -305,7 +305,7 @@ def summarize_abstract(abstract, llm_model="llama-3.1-70b-versatile", instructio
     try:
         # Create a chat completion with the abstract and specified LLM model
         chat_completion = client.chat.completions.create(
-            messages=[{"role": "user", "content": f'{instructions} "{formatted_text}"'}],
+            messages=[{"role": "user", "content": f'"{formatted_text}" {instructions}'}],
             model="gpt-4o-mini",
         )
     except Exception as e:  # Catch the exception
@@ -361,7 +361,7 @@ def logo(db_update_date, db_size_bio, db_size_med):
             </div>
         </div>
         <div style='text-align: center; margin-top: 10px;'>
-            <h3 style='color: black;'>An LLM-based search and summary tool from biorxiv and medrxiv</h3>
+            <h3 style='color: black;'>LLM-based search and summary tool for bioRxiv & medRxiv</h3>
         </div>
         <p>How to use:
         <br><strong>1</strong>: Enter your search query (Optional modification "Number of results to show") 
@@ -369,7 +369,7 @@ def logo(db_update_date, db_size_bio, db_size_med):
         <br><strong>3</strong>: Enter summary prompt in the below input box.
         <br><strong>4</strong>: Click "AI summary" to summarize the search results above.
         </p>
-        <div style='text-align: center; margin-top: 10px;'>
+        <div style='text-align: left; margin-top: 10px;'>
             Last database update: {db_update_date}; Database size: bioRxiv: {db_size_bio} / medRxiv: {db_size_med} entries
         </div>
         <br>