Update app.py

app.py

@@ -12,7 +12,7 @@ embedding_model = SentenceTransformer("all-MiniLM-L6-v2")
 
 try:
     llm = ChatGroq(temperature=0, model="llama3-70b-8192", api_key=GROQ_API_KEY)
-    st.success("✅ Groq LLM initialized successfully.")
+    st.success("✅ LLM initialized successfully. Using llama3-70b-8192")
 except Exception as e:
     st.error("❌ Failed to initialize Groq LLM.")
     traceback.print_exc()
@@ -82,15 +82,15 @@ def generate_response(user_query, company_ticker, mode, uploaded_file):
         return "Error generating response."
 
 st.title("📊 AI-Powered Financial Insights Chatbot")
-st.write("Upload financial reports or fetch live financial data to get AI-driven insights.")
+st.write("Upload financial reports or fetch live financial data ")
 
 
 user_query = st.text_input("Enter your query:")
-company_ticker = st.text_input("Enter company ticker symbol (optional):")
+company_ticker = st.text_input("Enter company ticker symbol")
 mode = st.radio("Select Mode:", ["PDF Upload Mode", "Live Data Mode"])
 uploaded_file = st.file_uploader("Upload PDF (Only for PDF Mode)", type=["pdf"])
 
-if st.button("Get Insights"):
+if st.button("Analyze"):
     if mode == "PDF Upload Mode" and not uploaded_file:
         st.error("❌ Please upload a PDF file.")
     else: