Create app.py

app.py

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+from langchain_openai import ChatOpenAI
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.output_parsers import StrOutputParser
+from langchain_community.llms import Ollama
+import os
+
+import streamlit as st
+
+from dotenv import load_dotenv
+load_dotenv()
+
+#os.environ["OPENAI_API_KEY"]=os.getenv("OPENAI_API_KEY", "not found")
+#langmith Tracking
+os.environ["LANGCHAIN_TRACING_V2"]="true"   
+os.environ["LANGCHAIN_API_KEY"]=os.getenv("LANGCHAIN_API_KEY", "not found")
+
+#Prompt Template
+
+prompt = ChatPromptTemplate.from_messages(
+    [
+        ("system", "You are a world class helpful assistant.Please respond to the user."),
+        ("user","Question:{question}")
+    ]
+)
+
+#streamlit framework
+
+st.title('LLAMA3 using Langchain :sunglasses:') 
+st.subheader("Designed by :blue[Kartavya.] How can i assist you:question:")
+input_text = st.text_input("")
+
+#OLLAMA LLAma3
+
+llm = Ollama(model="llama3")
+output_parser = StrOutputParser()
+chain = prompt|llm|output_parser
+
+if st.button("Enter"):
+    st.write(chain.invoke({"question":input_text}))
+
+