Update app.py

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 from sentence_transformers import SentenceTransformer, util
 import openai
 import os
+import random
 
 os.environ["TOKENIZERS_PARALLELISM"] = "false"
 
@@ -87,7 +88,9 @@ def generate_response(user_query, relevant_segment):
         
         # Append assistant's message to messages list for context
         messages.append({"role": "assistant", "content": output_text})
-        
+        fun_int=random.randint(0,11)
+        fun_facts=["Young Einstein didn't talk until much later in his childhood.","Einstein had larger-than-average perietal lobes.","Einstein was a talented violinist","Einstein's brain was preserved after his death!","Einstein started as a teacher, but couldn't find a job.","Einstein's famous equation E=mc² was announced in 1905.","Einstein won The Nobel Prize in Physics in 1921","Einstien did not wear socks!","Einstein loved sailing.",'Einstein once said -"If you can't explain it simply, you don't understand it well enough."','Einstein once said- "Logic will get you from A to B. Imagination will get you anywhere."']
+        output_text=output_text+fun_facts[fun_int-1]
         return output_text
         
     except Exception as e:
@@ -133,11 +136,11 @@ with gr.Blocks(theme='JohnSmith9982/small_and_pretty') as demo:
     with gr.Row():
         with gr.Column():
             question = gr.Textbox(label="Your question", placeholder="What do you want to ask about?")
-            submit_button = gr.Button("Submit")
             answer = gr.Textbox(label="AI-nstein Response", placeholder="AI-nstein will respond here...", interactive=False, lines=10)
+            submit_button = gr.Button("Submit")
             submit_button.click(fn=query_model, inputs=question, outputs=answer)
             
             
 
 # Launch the Gradio app to allow user interaction
-demo.launch(share=True)
+demo.launch(share=True)