Update app.py

app.py

@@ -2,30 +2,25 @@ import openai
 import gradio as gr
 import os
 
-#OpenAi call
 def gpt3(texts):
-    openai.api_key = os.environ["Secret"]
-    response = openai.Completion.create(
-      engine="gpt-4-turbo-preview",
-      prompt= texts,
-          temperature=0,
-          max_tokens=750,
-          top_p=1,
-          frequency_penalty=0.0,
-          presence_penalty=0.0,
-          stop = (";", "/*", "</code>")
+    client = openai.OpenAI(api_key=os.environ["Secret"])  # Create client instance
+    response = client.chat.completions.create(  # Use chat completions
+        model="gpt-4-turbo-preview",  # Updated model name
+        messages=[{"role": "user", "content": texts}],  # New messages format
+        temperature=0,
+        max_tokens=750,
+        top_p=1,
+        frequency_penalty=0.0,
+        presence_penalty=0.0,
+        stop=[";", "/*", "</code>"]
     )
-    x = response.choices[0].text 
-    
+    x = response.choices[0].message.content  # Updated response structure
     return x
 
-# Function to elicit sql response from model
 def greet(prompt):
-    txt= (f'''/*Prompt: {prompt}*/ \n —-SQL Code:\n''')
+    txt= f'''/*Prompt: {prompt}*/ \n'''
     sql = gpt3(txt)
     return sql
 
-
-#Code to set up Gradio UI
-iface = gr.Interface(greet, inputs = ["text"], outputs = "text",title="Natural Language to SQL", description="Enter any prompt and get a SQL statement back! For better results, give it more context")
+iface = gr.Interface(greet, inputs = ["text"])
 iface.launch()