Update app.py

app.py

@@ -21,7 +21,7 @@ retriever = vector_store.as_retriever(search_kwargs={"k": 3})
 hf_token = os.environ.get("HF_TOKEN")
 client = InferenceClient(model="mistralai/Mistral-7B-Instruct-v0.2", token=hf_token)
 
-prompt_template = """Use the following context about my work experience to answer the question. If you don't know, say so.
+prompt_template = """Use the following context about Narayanaswamy's (Bala) work experience to answer the question. If you don't know, say so.
 Context: {context}
 Question: {question}
 Answer:"""
@@ -44,9 +44,9 @@ rag_chain = (
 
 # 4. Gradio UI
 with gr.Blocks() as demo:
-    gr.Markdown("# 🚀 RAG Chatbot (Prebuilt Vector Store)")
+    gr.Markdown("# 🚀 Know more about my work expereince/portfolio...")
     chatbot = gr.Chatbot(height=400, type="messages")
-    msg = gr.Textbox(placeholder="Ask about your work experience...")
+    msg = gr.Textbox(placeholder="Ask about Narayanaswamy's (Bala's) work experience...")
     clear = gr.Button("Clear")
 
     def user(user_message, history):