Update app.py

app.py

@@ -11,10 +11,10 @@ def respond(
     temperature,
     top_p,
 ):
-    # Initialize the messages with the system message internally
+    # Initialize messages with system instructions
     messages = [{"role": "system", "content": system_message}]
 
-    # Add history to the messages
+    # Add historical conversation
     for val in history:
         if val[0]:
             messages.append({"role": "user", "content": val[0]})
@@ -37,22 +37,23 @@ def respond(
         token = response_chunk.choices[0].delta.content
         response += token
 
-    # Post-process the response to ensure relevance
-    if "Sorry, I can only answer questions related to the Constitution of India." in response:
-        return "Sorry, I can only answer questions related to the Constitution of India."
-    elif "The Constitution of India" in response or "Article" in response:
+    response = response.strip()
+
+    # Basic filter to determine relevance
+    if any(keyword in message.lower() for keyword in ["constitution", "article", "law", "legal", "rights", "act", "judiciary", "legislature", "executive"]):
+        return response
+
+    # If message does not relate to Constitution or is not a scenario
+    if "scenario" in message.lower() or "case" in message.lower() or "example" in message.lower():
         return response
-    elif "scenario" in message.lower() or "case" in message.lower():
-        # Assuming the model can interpret and handle scenario-based queries
-        return "For scenarios related to constitutional law, you can refer to relevant acts and articles in the Constitution of India. For instance, if you were hit by a person, you might refer to laws related to personal safety and rights under the Constitution."
-    else:
-        return "Sorry, I can only answer questions related to the Constitution of India."
+    
+    return "Sorry, I am a chatbot specializing in questions related to the Constitution of India. Please ask a relevant question."
 
 # Create the Gradio chat interface
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a knowledgeable assistant specializing in the Constitution of India. Answer only questions related to the Constitution, including scenario-based queries. If you find that a question is not relevant, inform the user accordingly.", label="System message", visible=False),
+        gr.Textbox(value="You are a knowledgeable assistant specializing in the Constitution of India. Answer only questions related to the Constitution. If the question is irrelevant, inform the user accordingly.", label="System message", visible=False),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
         gr.Slider(