Upload 3 files

app.py

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+from langchain import HuggingFaceHub
+from langchain.schema import HumanMessage,SystemMessage,AIMessage
+
+from dotenv import load_dotenv
+
+load_dotenv()
+
+import streamlit as st
+##streamlit app 
+st.set_page_config(page_title="Chatbot")
+st.header('Langchain Application')
+
+
+
+# Initialization session
+##if 'key' not in st.session_state:
+#    st.session_state['key'] =[
+#         SystemMessage(content='You are AI ')
+#    ]
+
+
+# function to load huggingface model and get response
+def get_huggingface_response(question):
+    llm_huggingface=HuggingFaceHub(repo_id="google/flan-t5-large",model_kwargs={"temperature":0.0})
+
+    #st.session_state['key'].append(HumanMessage(content=question))
+    #response=llm_huggingface(st.session_state['key'])
+    response = llm_huggingface(question) 
+    #st.session_state['key'].append(AIMessage(content=response))
+    return(response)
+
+
+
+
+##streamlit input
+input=st.text_input("Input: ",key="input")
+## call function
+response=get_huggingface_response(input)
+
+##streamlit button
+submit=st.button('Generate')
+## click button
+if submit: 
+        st.subheader("The response is ")
+        st.write(response)

readme.txt

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+install python 
+create virtual envirement (venv)
+
+install langchain
+install openai
+install ipykernel(for notbook)
+
+install huggingface
+
+
+
+
+
+

requirements.txt

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