Update project files

app.py

@@ -0,0 +1,62 @@
+import streamlit as st
+from streamlit_chat import message
+from langchain.llms import OpenAI
+from langchain.chains import ConversationChain
+from langchain.chains.conversation.memory import (
+    ConversationBufferMemory,
+    ConversationSummaryMemory,
+    ConversationBufferWindowMemory
+)
+
+if 'conversation' not in st.session_state:
+    st.session_state['conversation'] = None
+if 'message' not in st.session_state:
+    st.session_state['message'] = []
+if 'API_Key' not in st.session_state:
+    st.session_state['API_Key'] = ''
+
+# Setting page title and header
+st.set_page_config(page_title="Chat GPT Clone", page_icon=":robot_face:")
+st.markdown("<h1 style='text-align: center;'>I'm ur assistance, how can I help you> </h1>",
+            unsafe_allow_html=True)
+
+st.sidebar.title("😎")
+st.session_state['API_Key'] = st.sidebar.text_input("What's your API key?", type="password")
+summarise_button = st.sidebar.button("Summarise the conversation", key="summarise")
+if summarise_button:
+    summarise_placeholder = st.sidebar.write("Nice chatting with you ❤ \n \n"+
+                                             st.session_state['conversation'].memory.buffer)
+    # summarise_placeholder.write("Nice chatting with you ❤ \n\n" + st.session_state['conversation'].memory.buffer
+
+def getresponse(userInput, api_key):
+
+    if st.session_state['conversation'] is None:
+        llm = OpenAI(temperature=0, openai_api_key=api_key, model_name='gpt-3.5-turbo-instruct')
+        st.session_state['conversation'] = ConversationChain(llm=llm, verbose=True,
+                                        memory=ConversationSummaryMemory(llm=llm))
+
+    response = st.session_state['conversation'].predict(input=userInput)
+    print(st.session_state['conversation'].memory.buffer)
+
+    return response
+
+response_container = st.container()
+# here we will have a container for user input text box
+container = st.container()
+
+with container:
+    with st.form(key='my_form', clear_on_submit=True):
+        user_input = st.text_area("Your question goes here:", key='input', height=100)
+        submit_button = st.form_submit_button(label='Send')
+
+        if submit_button:
+            st.session_state['message'].append(user_input)
+            model_response=getresponse(user_input, st.session_statep['API_Key'])
+            st.session_state['message'].append(model_response)
+
+            with response_container:
+                for i in range(len(st.session_state['message'])):
+                    if(i%2)==0:
+                        message(st.session_state['message'][i], is_user=True, key=str(i)+'_user')
+                    else:
+                        message(st.session_state['message'][i], key=str(i)+'_AI')