Update app.py

app.py

@@ -0,0 +1,37 @@
+import streamlit as st
+from langchain_groq import ChatGroq
+from langchain.schema import HumanMessage, AIMessage
+
+GROQ_API_KEY='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'
+# Initialize the ChatGroq model
+llm = ChatGroq(temperature=0, model_name='llama-3.1-8b-instant', groq_api_key=GROQ_API_KEY)
+
+
+st.title("LLM Bot with ChatGroq")
+
+# Initialize chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Display chat messages from history on app rerun
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+# React to user input
+if prompt := st.chat_input("What is your question?"):
+    # Display user message in chat message container
+    st.chat_message("user").markdown(prompt)
+    
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": prompt})
+
+    # Generate AI response
+    response = llm([HumanMessage(content=prompt)])
+    
+    # Display AI response in chat message container
+    with st.chat_message("assistant"):
+        st.markdown(response.content)
+    
+    # Add AI response to chat history
+    st.session_state.messages.append({"role": "assistant", "content": response.content})