use my api key

app.py

@@ -1,82 +1,75 @@
+import os
+
 import streamlit as st
-from streamlit_chat import message
 from langchain 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 'messages' not in st.session_state:
-    st.session_state['messages'] =[]
-if 'API_Key' not in st.session_state:
-    st.session_state['API_Key'] =''
+from langchain.chains.conversation.memory import ConversationSummaryMemory
+from streamlit_chat import message
+from dotenv import load_dotenv
+
+
+load_dotenv()
+
+if "conversation" not in st.session_state:
+    st.session_state["conversation"] = None
+if "messages" not in st.session_state:
+    st.session_state["messages"] = []
 
 # 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;'>How can I assist you? </h1>", unsafe_allow_html=True)
+st.markdown(
+    "<h1 style='text-align: center;'>How can I assist 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 my friend ❤️:\n\n"+st.session_state['conversation'].memory.buffer)
-    #summarise_placeholder.write("Nice chatting with you my friend ❤️:\n\n"+st.session_state['conversation'].memory.buffer)
-
-#import os
-#os.environ["OPENAI_API_KEY"] = "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"
-
-def getresponse(userInput, api_key):
-
-    if st.session_state['conversation'] is None:
+    summarise_placeholder = st.sidebar.write(
+        "Nice chatting with you my friend ❤️:\n\n"
+        + st.session_state["conversation"].memory.buffer
+    )
 
+def getresponse(userInput: str):
+    if st.session_state["conversation"] is None:
         llm = OpenAI(
             temperature=0,
-            openai_api_key=api_key,
-            model_name='text-davinci-003'  #we can also use 'gpt-3.5-turbo'
+            openai_api_key=os.getenv("OPENAI_API_KEY"),
+            model_name="text-davinci-003",  # we can also use 'gpt-3.5-turbo'
         )
 
-        st.session_state['conversation'] = ConversationChain(
-            llm=llm,
-            verbose=True,
-            memory=ConversationSummaryMemory(llm=llm)
+        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)
-    
+    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')
+    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['messages'].append(user_input)
-            model_response=getresponse(user_input,st.session_state['API_Key'])
-            st.session_state['messages'].append(model_response)
-            
+            st.session_state["messages"].append(user_input)
+            model_response = getresponse(user_input)
+            st.session_state["messages"].append(model_response)
 
             with response_container:
-                for i in range(len(st.session_state['messages'])):
-                        if (i % 2) == 0:
-                            message(st.session_state['messages'][i], is_user=True, key=str(i) + '_user')
-                        else:
-                            message(st.session_state['messages'][i], key=str(i) + '_AI')
-        
-             
-
-        
+                for i in range(len(st.session_state["messages"])):
+                    if (i % 2) == 0:
+                        message(
+                            st.session_state["messages"][i],
+                            is_user=True,
+                            key=str(i) + "_user",
+                        )
+                    else:
+                        message(st.session_state["messages"][i], key=str(i) + "_AI")