Update app.py

app.py

@@ -11,6 +11,7 @@ sentiment_analyzer = pipeline("sentiment-analysis", model="distilbert-base-uncas
 # Retrieve OpenAI API key from Hugging Face secret
 openai.api_key = os.getenv("open_AI_API_key")
 
+
 class JournalCompanion:
     def __init__(self):
         self.entries = []
@@ -52,13 +53,16 @@ class JournalCompanion:
     def generate_dynamic_prompts(self, sentiment):
         prompt_request = f"Generate three reflective journal prompts for a person feeling {sentiment.lower()}."
         try:
-            response = openai.Completion.create(
-                engine="text-davinci-003",
-                prompt=prompt_request,
+            response = openai.ChatCompletion.create(
+                model="gpt-3.5-turbo",
+                messages=[
+                    {"role": "system", "content": "You are a helpful assistant."},
+                    {"role": "user", "content": prompt_request}
+                ],
                 max_tokens=60,
                 n=1
             )
-            prompts = response.choices[0].text.strip()
+            prompts = response.choices[0].message["content"].strip()
         except Exception as e:
             print("Error generating prompts:", e)
             prompts = "Could not generate prompts at this time."
@@ -67,13 +71,16 @@ class JournalCompanion:
     def generate_dynamic_affirmation(self, sentiment):
         affirmation_request = f"Generate an affirmation for someone who is feeling {sentiment.lower()}."
         try:
-            response = openai.Completion.create(
-                engine="text-davinci-003",
-                prompt=affirmation_request,
+            response = openai.ChatCompletion.create(
+                model="gpt-3.5-turbo",
+                messages=[
+                    {"role": "system", "content": "You are a helpful assistant."},
+                    {"role": "user", "content": affirmation_request}
+                ],
                 max_tokens=20,
                 n=1
             )
-            affirmation = response.choices[0].text.strip()
+            affirmation = response.choices[0].message["content"].strip()
         except Exception as e:
             print("Error generating affirmation:", e)
             affirmation = "Could not generate an affirmation at this time."