Update app.py

app.py

@@ -1948,7 +1948,6 @@ def get_pdf_content_summary(pdf_filename):
     # Return summary for the requested PDF
     return summaries.get(pdf_filename, "No summary available for this PDF.")
 
-# Function to process message in the main chatbot
 # Function to process message in the main chatbot
 def process_message(message, history):
     """Process messages for the main chatbot interface"""
@@ -1961,102 +1960,102 @@ def process_message(message, history):
     # Store message in lowercase for easier matching
     message_lower = message.lower()
     
-    # Try to get response from API
-    try:
-        # Get OpenAI client
-        client = get_openai_client()
-        
-        # Call OpenAI API
-        system_prompt = """You are Ginnie, an expert ABB product assistant.
-        Your purpose is to help users find and understand ABB products based on catalog information.
-        Be professional, helpful, and concise in your responses.
-        If you don't know something, be honest about it but try to provide alternative information that might help.
-        Use bullet points for lists and keep your responses focused on ABB products and solutions."""
-        
-        # Prepare prompt with context from previous messages
-        context = ""
-        if len(history) > 1:
-            for i in range(max(0, len(history)-4), len(history)-1):
-                if history[i][0] is not None:
-                    context += f"User: {history[i][0]}\n"
-                if history[i][1] is not None:
-                    context += f"Assistant: {history[i][1]}\n"
-        
-        user_prompt = f"""Previous conversation:
-        {context}
-        
-        Current message: {message}
-        
-        Respond to the user as Ginnie, the ABB product assistant. If the query is about a specific ABB product, include key specifications and use cases."""
-        
-        response = client.chat.completions.create(
-            model="gpt-3.5-turbo",
-            messages=[
-                {"role": "system", "content": system_prompt},
-                {"role": "user", "content": user_prompt}
-            ],
-            temperature=0.7,
-            max_tokens=500
-        )
-        
-        # Extract the response
-        ai_response = response.choices[0].message.content
-        
-    except Exception as e:
-        print(f"Error calling AI service: {e}")
-        ai_response = None  # Initialize response as None to check later if a fallback was matched
-        
-        # Check for specific PSTX softstarter questions and provide fallback answers
-        
-        # Predefined fallback answers for specific PSTX softstarter questions
-        if "pstx" in message_lower:
-            if any(word in message_lower for word in ["voltage", "current"]):
-                ai_response = """The PSTX softstarter supports the following voltage and current ratings:
+    # First check if we should use predefined answers for PSTX questions
+    # (This moves the fallback check before the API call)
+    ai_response = None
+    if "pstx" in message_lower:
+        if any(word in message_lower for word in ["voltage", "current"]):
+            ai_response = """The PSTX softstarter supports the following voltage and current ratings:
 • Voltage Rating: The PSTX softstarter operates at 208 to 600 V AC with a rated insulation voltage of 690 V.
 • Current Rating: The operational current ranges from 30 A to 1250 A, depending on the model.
 • Control Supply Voltage: 100–250 V AC, 50/60 Hz.
 • Number of Starts per Hour: 10 starts for smaller models (PSTX20 to PSTX250) and 6 starts for larger models (PSTX300 to PSTX1000)."""
-                
-            elif ("inrush" in message_lower and ("current" in message_lower or "startup" in message_lower)):
-                ai_response = """The PSTX softstarter handles high inrush currents during motor startup through:
+            
+        elif ("inrush" in message_lower and ("current" in message_lower or "startup" in message_lower)):
+            ai_response = """The PSTX softstarter handles high inrush currents during motor startup through:
 • Current limit settings, which allow the motor to start even in weak electrical networks.
 • Dual current limit and current limit ramp, enabling gradual voltage increase and smooth motor acceleration.
 • Soft start with voltage ramp that ensures a controlled increase in voltage, preventing sudden power surges.
 • Full voltage start mode allows the motor to reach full speed quickly while managing the current to avoid excessive inrush."""
-                
-            elif "wiring" in message_lower:
-                ai_response = """Wiring requirements for installing a PSTX softstarter include:
+            
+        elif "wiring" in message_lower:
+            ai_response = """Wiring requirements for installing a PSTX softstarter include:
 • Input and output field wiring terminals for power and control connections.
 • Control power transformer for control voltage regulation.
 • Breaker/disconnect mechanisms for safety.
 • Grounding is essential and is facilitated by equipment grounding lugs.
 • Control relays and terminal blocks manage connections for external devices like start/stop pushbuttons, pilot lights, and selector switches.
 • Cable Size Requirements: Based on UL508A standards, incoming and load cable sizes depend on the motor's power rating (e.g., for 50 HP at 480V, incoming cables can be up to 1/0 AWG)."""
-                
-            elif "bypass" in message_lower:
-                ai_response = """The built-in bypass in the PSTX softstarter enhances energy efficiency by:
+            
+        elif "bypass" in message_lower:
+            ai_response = """The built-in bypass in the PSTX softstarter enhances energy efficiency by:
 • Activating the bypass contactor once the motor reaches full speed.
 • Reducing energy loss by switching off the softstarter's thyristors, preventing unnecessary heat generation.
 • Extending product lifespan by minimizing component wear compared to continuous thyristor switching.
 • Saving space and installation time since the bypass is integrated into the softstarter, eliminating the need for an external bypass circuit."""
-                
-            elif ("jog" in message_lower and ("slow" in message_lower or "speed" in message_lower)):
-                ai_response = """The "jog with slow speed" feature of the PSTX softstarter:
+            
+        elif ("jog" in message_lower and ("slow" in message_lower or "speed" in message_lower)):
+            ai_response = """The "jog with slow speed" feature of the PSTX softstarter:
 • Allows the motor to run at reduced speed in both forward and reverse directions without needing a variable speed drive.
 • Is useful for precisely positioning conveyor belts and cranes before full operation.
 • Helps in maintenance scenarios where manual control of movement is needed.
 • Eliminates the need for an external drive system, making the installation simpler and more cost-effective."""
-                
-            elif ("limp" in message_lower and ("mode" in message_lower or "fault" in message_lower)):
-                ai_response = """The limp mode feature of the PSTX softstarter ensures continuous operation in case of faults by:
+            
+        elif ("limp" in message_lower and ("mode" in message_lower or "fault" in message_lower)):
+            ai_response = """The limp mode feature of the PSTX softstarter ensures continuous operation in case of faults by:
 • Operating with one phase missing if a thyristor short-circuits, allowing the system to continue running instead of shutting down immediately.
 • Helping in applications where downtime is costly, such as in manufacturing plants and critical industrial processes.
 • Preventing unplanned stoppages by keeping the system functional until maintenance can be scheduled.
 • Improving system resilience, reducing the impact of single-component failures."""
-        
-        # If no specific fallback was matched, provide the generic error message
-        if ai_response is None:
-            ai_response = "I apologize, but I'm having trouble connecting to my knowledge base at the moment. Please try again in a few moments or try rephrasing your question."
+
+    # Only try API if we don't already have a predefined answer
+    if ai_response is None:
+        try:
+            # Get OpenAI client
+            client = get_openai_client()
+            
+            # Call OpenAI API
+            system_prompt = """You are Ginnie, an expert ABB product assistant.
+            Your purpose is to help users find and understand ABB products based on catalog information.
+            Be professional, helpful, and concise in your responses.
+            If you don't know something, be honest about it but try to provide alternative information that might help.
+            Use bullet points for lists and keep your responses focused on ABB products and solutions."""
+            
+            # Prepare prompt with context from previous messages
+            context = ""
+            if len(history) > 1:
+                for i in range(max(0, len(history)-4), len(history)-1):
+                    if history[i][0] is not None:
+                        context += f"User: {history[i][0]}\n"
+                    if history[i][1] is not None:
+                        context += f"Assistant: {history[i][1]}\n"
+            
+            user_prompt = f"""Previous conversation:
+            {context}
+            
+            Current message: {message}
+            
+            Respond to the user as Ginnie, the ABB product assistant. If the query is about a specific ABB product, include key specifications and use cases."""
+            
+            response = client.chat.completions.create(
+                model="gpt-3.5-turbo",
+                messages=[
+                    {"role": "system", "content": system_prompt},
+                    {"role": "user", "content": user_prompt}
+                ],
+                temperature=0.7,
+                max_tokens=500
+            )
+            
+            # Extract the response
+            ai_response = response.choices[0].message.content
+            
+        except Exception as e:
+            print(f"Error calling AI service: {e}")
+            
+            # If we reach here, the API failed and we don't have a predefined answer
+            if ai_response is None:
+                ai_response = "I apologize, but I'm having trouble connecting to my knowledge base at the moment. Please try again in a few moments or try rephrasing your question."
     
     # Update history with assistant response
     history[-1][1] = ai_response
@@ -2066,10 +2065,6 @@ def process_message(message, history):
     
     return history
 
-# Function to reset chat
-def reset_chat(history):
-    """Reset the chat history"""
-    return []
 
 # Function to setup system and update status
 def setup_and_update():