Update app.py

app.py

@@ -1,9 +1,12 @@
 import streamlit as st
 from streamlit_chat import message
-from langchain.chains import ConversationChain
+from langchain import HuggingFaceHub, ConversationChain
 from langchain.chains.conversation.memory import ConversationBufferMemory, ConversationSummaryMemory
-from langchain.llms import GooglePalm
-from langchain.prompts import PromptTemplate
+from langchain.memory import ConversationBufferWindowMemory
+import os
+
+# Get API key from environment variable
+hf_api_key = os.environ.get("HUGGINGFACEHUB_API_TOKEN") 
 
 # Initialize session state variables
 if 'conversation' not in st.session_state:
@@ -11,31 +14,35 @@ if 'conversation' not in st.session_state:
 if 'messages' not in st.session_state:
     st.session_state['messages'] = []
 if 'API_Key' not in st.session_state:
-    st.session_state['API_Key'] = ''
+    st.session_state['API_Key'] = ''  # No need for API key input in this case
 
 # Setting page title and header
-st.set_page_config(page_title="ChatGPT Clone", page_icon=":robot_face:")
+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)
 
-# Sidebar input for the API key
-st.sidebar.title("⚙️ Settings")
-st.session_state['API_Key'] = st.sidebar.text_input("Enter your Google API key", type="password")
+# Sidebar (no API key input needed)
+st.sidebar.title("Options")
 
-# Summarization button
+# Summarization Button
 summarise_button = st.sidebar.button("Summarise the conversation", key="summarise")
 if summarise_button:
-    summary = st.session_state['conversation'].memory.buffer
-    st.sidebar.write("Conversation Summary:\n\n" + summary)
+    with st.spinner("Summarizing..."):  # Add a spinner for visual feedback
+        # Access the buffer for ConversationBufferMemory
+        summary = st.session_state['conversation'].memory.buffer
+        st.sidebar.write("Conversation Summary:\n\n" + summary)
 
 # Defining the get_response function
 def get_response(user_input, api_key):
     if st.session_state['conversation'] is None:
-        # Use Google Palm as the LLM
-        llm = GooglePalm(google_api_key=api_key, temperature=0.7)
+        llm = HuggingFaceHub(
+            repo_id="google/gemini-pro-flash",  # Use Gemini Pro Flash
+            model_kwargs={"temperature": 0.1, "max_new_tokens": 512} 
+        )
+        # Use ConversationBufferMemory for summarization
         st.session_state['conversation'] = ConversationChain(
             llm=llm, 
             verbose=True, 
-            memory=ConversationSummaryMemory(llm=llm)
+            memory=ConversationBufferMemory()  
         )
     response = st.session_state['conversation'].predict(input=user_input)
     return response
@@ -45,16 +52,18 @@ response_container = st.container()
 container = st.container()
 with container:
     with st.form(key='my_form', clear_on_submit=True):
-        user_input = st.text_area("Your question here:", key='input', height=100)
+        user_input = st.text_area("Your question goes here:", key='input', height=100)
         submit_button = st.form_submit_button(label='Send')
-        if submit_button and user_input:
+        if submit_button and user_input:  # Check if user_input is not empty
             st.session_state['messages'].append(user_input)
-            model_response = get_response(user_input, st.session_state['API_Key'])
+            with st.spinner("Thinking..."):  # Add a spinner
+                model_response = get_response(user_input, hf_api_key)
             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')
+        if st.session_state['messages']:  # Check if there are messages to display
+            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')