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app1.py

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+##Conversational Q&A Chatbot
+
+import streamlit as st
+from langchain.schema import HumanMessage,SystemMessage,AIMessage
+from langchain.chat_models import ChatOpenAI
+import os
+
+
+##Streamlit UI
+st.set_page_config(page_title="Conversational Q&A Chatbot")
+st.header("Hey!! lets do code")
+
+from dotenv import load_dotenv
+load_dotenv()
+
+
+
+chat = ChatOpenAI(temperature=0.6,openai_api_key=os.getenv('OPEN_API_KEY'))
+
+if 'flowmesages' not in st.session_state:
+    st.session_state['flowmessages']=[
+        SystemMessage(content="you are a comedian AI assistent")
+    ]
+
+##function to load OpenAI model and get responses
+
+def get_chatmodel_response(question):
+    
+    st.session_state['flowmessages'].append(HumanMessage(content=question))
+    answer=chat(st.session_state['flowmessages'])   
+    st.session_state['flowmessages'].append(AIMessage(content=answer.content))
+    
+    return answer.content
+
+
+
+input = st.text_input("Input: ",key= "input")
+submit= st.button("Ask a question")
+
+
+if submit:
+    response = get_chatmodel_response(input)
+    st.subheader("The response is")
+    st.write(response)
+
+
+
+
+
+
+
+

requirements.txt

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+langchain
+openai
+huggingface_hub
+python-dotenv
+streamlit