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pages/1_Interactive Chat Bot.py

@@ -1,52 +0,0 @@
-import streamlit as st
-import os
-from langchain_core.prompts import ChatPromptTemplate
-from langchain_google_genai import ChatGoogleGenerativeAI
-from langchain_core.prompts import MessagesPlaceholder
-from langchain.memory import ConversationBufferWindowMemory
-from operator import itemgetter
-from langchain_core.runnables import RunnableLambda, RunnablePassthrough
-
-# Set the API key for Google Generative AI
-os.environ['GOOGLE_API_KEY'] = 'AIzaSyBHPIIk4-BOgXvnQ2_o6c2wTGpY2ByRIDs'
-
-# Initialize the Google Generative AI model
-model_gemini = ChatGoogleGenerativeAI(model='gemini-pro', temperature=0, max_output_tokens=500, convert_system_message_to_human=True)
-
-# Define the prompt
-prompt = ChatPromptTemplate.from_messages(
-    [
-        ('system', 'you are a good assistant.'),
-        MessagesPlaceholder(variable_name='history'),
-        ("human", "{input}")
-    ]
-)
-
-# Initialize memory in session state
-if 'memory' not in st.session_state:
-    st.session_state.memory = ConversationBufferWindowMemory(k=10, return_messages=True)
-
-# Define the chain
-chain = (RunnablePassthrough.assign(history=RunnableLambda(st.session_state.memory.load_memory_variables) | itemgetter("history")) |
-         prompt | model_gemini)
-
-# Streamlit app
-st.title("Interactive Chatbot")
-
-# Initialize session state for user input
-if 'user_input' not in st.session_state:
-    st.session_state.user_input = ""
-
-# Input from user
-user_input = st.text_area("User: ", st.session_state.user_input, height=100)
-
-if st.button("Submit"):
-    response = chain.invoke({"input": user_input})
-    st.write(f"Assistant: {response.content}")
-    st.session_state.memory.save_context({"input": user_input}, {"output": response.content})
-    st.session_state.user_input = ""  # Clear the input box
-
-# Display chat history
-if st.checkbox("Show Chat History"):
-    chat_history = st.session_state.memory.load_memory_variables({})
-    st.write(chat_history)

pages/2_Non-Interactive Chat Bot.py

@@ -1,30 +0,0 @@
-import streamlit as st
-import os
-from langchain_google_genai import ChatGoogleGenerativeAI
-from langchain_core.prompts import ChatPromptTemplate
-
-# Set GOOGLE_API_KEY 
-os.environ['GOOGLE_API_KEY'] = 'AIzaSyBHPIIk4-BOgXvnQ2_o6c2wTGpY2ByRIDs'
-
-st.title("Non-Interactive Chat Bot")
-
-model_gemini = ChatGoogleGenerativeAI(
-    model='gemini-pro',
-    temperature=0,
-    max_output_tokens=500,
-    convert_system_message_to_human=True
-)
-
-# Assuming model_gemini is defined correctly elsewhere
-prompt = ChatPromptTemplate.from_template("{content}")
-chain = prompt | model_gemini
-
-input_text = st.text_area('Ask your Question :', height=100)
-
-# Add a button to trigger the chatbot response
-if st.button('Submit'):
-    # Invoke the chain with input text
-    response = chain.invoke({'content': input_text})
-    
-    # Display response on the Streamlit web interface
-    st.write(response.content)