Update app.py

app.py

@@ -10,10 +10,48 @@ KNOWN_MODELS = [
 ]
 
 def recommend_ai_model_via_gpt(description):
-    # ... [same as before]
+    # Formulate a prompt for the large language model
+    prompt = f"Given the application described as: '{description}', which AI model would be most suitable?"
+
+    response = openai.Completion.create(
+        model="gpt-4.0-turbo",
+        prompt=prompt,
+        max_tokens=50
+    )
+    
+    recommendation = response.choices[0].text.strip()
+    return recommendation
 
 def explain_recommendation(model_name):
-    # ... [same as before]
+    # Formulate a prompt for explanation
+    prompt = f"Why would {model_name} be a suitable choice for the application?"
+
+    response = openai.Completion.create(
+        model="gpt-4.0-turbo",
+        prompt=prompt,
+        max_tokens=150
+    )
+    
+    explanation = response.choices[0].text.strip()
+    return explanation
+
+def get_feedback():
+    feedback = input("Was this recommendation helpful? (yes/no): ").lower()
+    if feedback == 'yes':
+        print("Thank you for your feedback!")
+    else:
+        print("Thank you! We'll strive to improve.")
+
+def rate_explanation():
+    try:
+        rating = int(input("Rate the explanation from 1 (worst) to 5 (best): "))
+        if 1 <= rating <= 5:
+            print("Thank you for rating!")
+        else:
+            print("Invalid rating. Please rate between 1 and 5.")
+    except ValueError:
+        print("Invalid input. Please enter a number between 1 and 5.")
+
 
 # Streamlit UI
 st.title('AI Model Recommender')