Upload app.py

app.py

@@ -8,28 +8,28 @@ openai_api_key = os.getenv("OPENAI_API_KEY")
  
 client = OpenAI(api_key=openai_api_key)
 
-def predict(input,_):
-   response = client.chat.completions.create(
-  model="gpt-3.5-turbo",
-  messages=[
-    {
-      "role": "system",
-      "content": f" Today's date and time is {datetime.now()}. A text will be passed to you. Extract date and time from it. Output the date and time in the format YYYY-MM-DD hour:minutes. 
-      
-      If multiple date time are avaialble, extract all dates and time from the text as a list data type and output them in the format YYYY-MM-DD hour:minutes.  
-      
-      Return an empty string if no date time are detected. "
-    },
-    {
-      "role": "user",
-      "content": f"{input}"
-    }
-  ],
-  temperature=0,
-  max_tokens=10,
-  top_p=1
-)
-   return response.choices[0].message.content
+def predict(input, _):
+   response = openai.ChatCompletion.create(
+      model="gpt-3.5-turbo",
+      messages=[
+        {
+          "role": "system",
+          "content": f"""Today's date and time is {datetime.now()}. A text will be passed to you. Extract date and time from it. Output the date and time in the format YYYY-MM-DD hour:minutes. 
+          
+          If multiple date times are available, extract all dates and time from the text as a list data type and output them in the format YYYY-MM-DD hour:minutes.  
+          
+          Return an empty string if no date times are detected."""
+        },
+        {
+          "role": "user",
+          "content": input
+        }
+      ],
+      temperature=0,
+      max_tokens=10,
+      top_p=1
+    )
+   return response.choices[0].message["content"]
 
 
 #print(predict('Are you available for a meeting on 13th Feb at 2 pm '))