Update app.py

app.py

@@ -70,20 +70,21 @@ def context_gpt_response(question):
     context = ''
     for match in match_list:
         context += str(match[0])  
-
+    prep = f"This is an OpenAI model tuned to answer questions specific to the Qualia Research institute, a research institute that focuses on the mathematics of consciousness. Here is some question-specific context, and then the Qualia Quesiton to answer: {context}. Q:  {question}  A: "
     # Generate an answer
     response = openai.Completion.create(
         engine="text-davinci-003",
-        prompt=context + question,
+        prompt=prep,
         temperature=0.7,
         max_tokens=150,
     )
 
+
     # Return the answer
     return response['choices'][0]['text']
 
 import gradio as gr
 
-iface = gr.Interface(fn=context_gpt_response, inputs="text", outputs="text")
+iface = gr.Interface(fn=context_gpt_response, inputs="text", outputs="text",title="Qualia Research Institute GPTbot", description="Ask any question and get QRI specific answers!")
 iface.launch()