Update app.py

app.py

@@ -7,7 +7,7 @@ app = Flask(__name__)
 # Load the Hugging Face model for Question Answering (FAQ-based)
 faq_model = pipeline("question-answering", model="distilbert-base-uncased-distilled-squad")
 
-# Connect to Salesforce (replace with your credentials)
+# Salesforce connection (replace with your credentials)
 sf = Salesforce(username='your_username', password='your_password', security_token='your_security_token')
 
 # Function to get the answer from the model
@@ -31,14 +31,19 @@ def ask_question():
     data = request.get_json()
     question = data.get('question')
 
-    # Define the FAQ context (static or fetched from a dynamic source)
-    faq_context = "Here are some frequently asked questions and answers about our service..."
-
+    # Define the FAQ context (static or dynamic data can be used here)
+    faq_context = """
+    Here are some frequently asked questions and answers about our services.
+    1. How do I contact customer support? - You can email us at support@company.com.
+    2. What are your business hours? - We are open from 9 AM to 6 PM, Monday to Friday.
+    3. How do I reset my password? - Click on 'Forgot Password' on the login page.
+    """
+    
     # Get the answer to the question
     answer = get_answer(question, faq_context)
 
-    # If the answer requires further assistance, create a case in Salesforce
-    if "need help" in answer or "contact us" in answer:
+    # If the answer suggests further help, create a case in Salesforce
+    if "contact us" in answer or "need help" in answer:
         create_case('Customer Support Needed', answer)
 
     return jsonify({"answer": answer})