Update app.py

app.py

@@ -79,9 +79,11 @@ For each text, mark NER tags. \
 Tag categories: location, product. \
 Text: I want to buy/get [Po Chai Pills](product). \
 If a user wants to buy/get a product, suggest that \
-he/she can consider buying/getting from https://www.amazon.sg/s?k=product+name \
+he/she can consider buying/getting from \
+<a href="https://www.amazon.sg/s?k=product+name" target="_blank">https://www.amazon.sg/s?k=product+name</a> \
 For example, if a user wants to buy Po Chai Pills, suggest \
-he/she can consider buying/getting from https://www.amazon.sg/s?k=po+chai+pills \
+he/she can consider buying/getting from \
+<a href="https://www.amazon.sg/s?k=po+chai+pills" target="_blank">https://www.amazon.sg/s?k=po+chai+pills</a> \
 Examples of product names:
 Ointment/Hong You/Feng You/Fengyou
 Liquorice/Gan cao/Gancao
@@ -96,23 +98,11 @@ prompt_template = PromptTemplate.from_template('''system role :{context} \
         ''')
 
 # Define Gradio Interface
-# iface = gr.Interface(
-#     fn=lambda query: conversation.run(prompt_template.format(context=context, query=query)),
-#     inputs=gr.Textbox(),
-#     outputs=gr.Textbox(),
-#     live=True,
-# )
-
-# Create a function to handle the Gradio Interface
-def chat_interface(query, chat_history=[]):
-    response, chat_history = conversation.run(prompt_template.format(context=context, query=query), chat_history)
-    return response, chat_history + [query]
-
-# Create the Gradio Interface
 iface = gr.Interface(
-    fn=chat_interface,
+    fn=lambda query: conversation.run(prompt_template.format(context=context, query=query)),
     inputs=gr.Textbox(),
     outputs=gr.Textbox(),
+    live=True,
 )
 
 # Launch Gradio Interface