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Update app.py
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app.py
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@@ -26,6 +26,7 @@ prompt = PromptTemplate(
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# Initialize memory
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memory = ConversationBufferMemory()
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# Create the LLM chain
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llm_chain = LLMChain(
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@@ -34,6 +35,12 @@ llm_chain = LLMChain(
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memory=memory
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)
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# Streamlit app
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st.title("AI Chatbot")
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st.write("Welcome to the AI Chatbot! Ask anything you like.")
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@@ -44,11 +51,9 @@ user_input = st.text_input("You:", key="input")
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if st.button("Send"):
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if user_input:
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# Generate response
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response =
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response_text = response['text']
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# Display the response
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st.text_area("ChatBot:", response_text, height=100)
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st.write('----------------------------------------------------------------------------------------------')
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st.write('History:')
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st.write(response['history'])
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# Initialize memory
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memory = ConversationBufferMemory()
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memory.save_context({"input": "I need some help"}, {"output": "ok! how can i help you."})
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# Create the LLM chain
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llm_chain = LLMChain(
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memory=memory
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)
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def generate_response(user_input):
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response = llm_chain.invoke({"history":memory.chat_memory.messages, 'user_input':user_input})
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return response
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# Streamlit app
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st.title("AI Chatbot")
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st.write("Welcome to the AI Chatbot! Ask anything you like.")
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if st.button("Send"):
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if user_input:
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# Generate response
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response = generate_response(user_input)
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response_text = response['text']
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# Display the response
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st.text_area("ChatBot:", response_text, height=100)
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st.write('History:')
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st.write(response['history'])
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