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| from langchain.prompts import ( | |
| ChatPromptTemplate, | |
| MessagesPlaceholder, | |
| SystemMessagePromptTemplate, | |
| HumanMessagePromptTemplate | |
| ) | |
| from langchain.chains import ConversationChain | |
| from langchain.chat_models import ChatOpenAI | |
| from langchain.memory import ConversationBufferMemory | |
| import openai | |
| import panel as pn | |
| import os | |
| os.environ["LANGCHAIN_TRACING"] = "true" | |
| panels = [] # collect display | |
| pn.extension('texteditor', template="bootstrap", sizing_mode='stretch_width') | |
| pn.state.template.param.update( | |
| main_max_width="690px", | |
| header_background="green", | |
| title='Conversational Chatbot Application' | |
| ) | |
| #Widgets | |
| openaikey = pn.widgets.PasswordInput( | |
| value="", placeholder="Enter your OpenAI API Key here...", width=300, | |
| ) | |
| inp = pn.widgets.TextInput(value="Hi", placeholder='Enter text here…', toolbar=False, height=50, width=500) | |
| button_conversation = pn.widgets.Button(name="Chat!", button_type='primary') | |
| spacer = pn.Spacer(width=100) | |
| #LLM Model | |
| def chat_bot(input): | |
| prompt = ChatPromptTemplate.from_messages([ | |
| SystemMessagePromptTemplate.from_template("The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know."), | |
| MessagesPlaceholder(variable_name="history"), | |
| HumanMessagePromptTemplate.from_template("{input}") | |
| ]) | |
| llm = ChatOpenAI(temperature=0) | |
| memory = ConversationBufferMemory(return_messages=True) | |
| conversation = ConversationChain(memory=memory, prompt=prompt, llm=llm) | |
| response = conversation.predict(input=input) | |
| return response | |
| #Message function | |
| def collect_messages(_): | |
| os.environ["OPENAI_API_KEY"] = openaikey.value | |
| prompt = inp.value_input | |
| inp.value = '' | |
| if prompt: | |
| response = chat_bot(input= inp.value_input) | |
| panels.append( | |
| pn.Row('User:', pn.pane.Markdown(prompt, width=600))) | |
| panels.append( | |
| pn.Row('Assistant:', pn.pane.Markdown(response, width=600, style={'background-color': '#F6F6F6'}))) | |
| return pn.Column(*panels) | |
| try: | |
| #layout | |
| interactive_conversation = pn.bind(collect_messages, button_conversation) | |
| pn.Column( | |
| pn.pane.Markdown(""" | |
| ## \U0001F60A! A friendly Conversational AI Chatbot | |
| 1) Enter OpenAI API key. This costs $. Set up billing at [OpenAI](https://platform.openai.com/account). | |
| """ | |
| ), | |
| pn.Row(inp,spacer,openaikey), | |
| pn.Row(button_conversation, width=200, margin=(5,150)), | |
| pn.panel(interactive_conversation, loading_indicator=True, height=200), | |
| ).servable() | |
| except openai.error.AuthenticationError: | |
| # Handle the AuthenticationError | |
| print("Authentication error: Invalid API key or insufficient permissions.") | |
| # Perform any necessary actions, such as displaying an error message or exiting the program | |