Add chatbot application file

Dockerfile

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+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+RUN python3 -m pip install --no-cache-dir --upgrade pip
+RUN python3 -m pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY . .
+
+CMD ["panel", "serve", "/code/chatbot.py", "--address", "0.0.0.0", "--port", "7860", "--allow-websocket-origin", "chukypedro-chatbot.hf.space",  "--allow-websocket-origin", "0.0.0.0:7860"]
+
+RUN mkdir /.cache
+RUN chmod 777 /.cache

chatbot.py

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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 panel as pn
+import os
+
+from dotenv import load_dotenv
+load_dotenv()
+
+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)
+
+#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()
+
+

requirements.txt

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+python-dotenv
+langchain
+panel
+tiktoken
+openai