Update app.py

app.py

@@ -6,36 +6,42 @@ import gradio as gr
 openai.api_key = os.getenv('OPENAI_API_KEY')
 
 def generate_health_advice(health_goals, dietary_preferences, dietary_restrictions, nutritional_interests):
-    conversation = [
-        {"role": "system", "content": "You are a helpful assistant providing health and nutrition advice."},
-        {"role": "user", "content": f"My health goals are: {health_goals}."},
-        {"role": "user", "content": f"My dietary preferences are: {dietary_preferences}."},
-        {"role": "user", "content": f"I have the following dietary restrictions: {dietary_restrictions}."},
-        {"role": "user", "content": f"I'm interested in learning more about: {nutritional_interests}."}
+    # System and user messages for the chat completion API
+    system_message = {"role": "system", "content": "You are a helpful assistant, providing health and nutrition advice."}
+    health_goals_message = {"role": "user", "content": f"My health goals are: {health_goals}."}
+    dietary_preferences_message = {"role": "user", "content": f"My dietary preferences are: {dietary_preferences}."}
+    dietary_restrictions_message = {"role": "user", "content": f"I have the following dietary restrictions: {dietary_restrictions}."}
+    nutritional_interests_message = {"role": "user", "content": f"I'm interested in learning more about: {nutritional_interests}."}
+
+    messages = [
+        system_message,
+        health_goals_message,
+        dietary_preferences_message,
+        dietary_restrictions_message,
+        nutritional_interests_message
     ]
-    
-    response = openai.ChatCompletion.create(
+
+    # Corrected syntax for generating chat completions
+    response = client.chat.completions.create(
         model="gpt-3.5-turbo",
-        messages=conversation
+        messages=messages
     )
-    
-    # Extract the text from the response object
-    advice = response.choices[0].message['content']
-    return advice
 
-# Create the Gradio interface
+    return response.choices[0].message.content
+
+# Gradio interface setup
 iface = gr.Interface(
     fn=generate_health_advice,
     inputs=[
-        gr.Textbox(label="Health Goals", placeholder="Enter your health goals here...", lines=2),
-        gr.Textbox(label="Dietary Preferences", placeholder="Enter your dietary preferences here...", lines=2),
-        gr.Textbox(label="Dietary Restrictions", placeholder="List any dietary restrictions here...", lines=2),
-        gr.Textbox(label="Nutritional Interests", placeholder="Enter your nutritional interests here...", lines=2)
+        gr.Textbox(label="Health Goals", placeholder="Enter your health goals...", lines=2),
+        gr.Textbox(label="Dietary Preferences", placeholder="Enter your dietary preferences...", lines=2),
+        gr.Textbox(label="Dietary Restrictions", placeholder="List any dietary restrictions...", lines=2),
+        gr.Textbox(label="Nutritional Interests", placeholder="Enter your nutritional interests...", lines=2)
     ],
     outputs=gr.Text(label="Personalized Health Advice"),
     title="Personalized Health and Nutrition Advisor",
     description="Get personalized health advice based on your goals, preferences, and restrictions. Input your information below and receive guidance."
 )
 
-# Run the interface
-iface.launch()
+# Launch the interface with sharing enabled
+iface.launch(share=True, debug=True)