updated app file

app.py

@@ -63,25 +63,17 @@ def retrieve(query):
 # then we complete the context-infused query
 def complete(prompt):
     # query text-davinci-003
-    response = openai.ChatCompletion.create(
-        model="gpt-4",
-        messages=[
-            {
-                "role": "system",
-                "content": "Answer the question based on the context below and the document provided."
-            },
-            {
-                "role": "user",
-                "content": prompt
-            }
-        ],
-        temperature=0.5,
-        max_tokens=128,
-        top_p=1.0,
-        frequency_penalty=0.0,
-        presence_penalty=0.0
+    res = openai.Completion.create(
+        engine='text-davinci-003',
+        prompt=prompt,
+        temperature=0,
+        max_tokens=500,
+        top_p=1,
+        frequency_penalty=0,
+        presence_penalty=0,
+        stop=None
     )
-    return response.choices[0].message.content.strip()
+    return res['choices'][0]['text'].strip()
 
 def greet(query):
     # first we retrieve relevant items from Pinecone