add app files

Dockerfile

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+FROM python:3.10
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY . .
+
+CMD ["chainlit", "run", "chat.py", "-w", "--port", "7860"]

chainlit.md

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+# Welcome to Chainlit! 🚀🤖
+
+Hi there, Developer! 👋 We're excited to have you on board. Chainlit is a powerful tool designed to help you prototype, debug and share applications built on top of LLMs.
+
+## Useful Links 🔗
+
+- **Documentation:** Get started with our comprehensive [Chainlit Documentation](https://docs.chainlit.io) 📚
+- **Discord Community:** Join our friendly [Chainlit Discord](https://discord.gg/k73SQ3FyUh) to ask questions, share your projects, and connect with other developers! 💬
+
+We can't wait to see what you create with Chainlit! Happy coding! 💻😊
+
+## Welcome screen
+
+To modify the welcome screen, edit the `chainlit.md` file at the root of your project. If you do not want a welcome screen, just leave this file empty.

chat.py

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+import os
+import chainlit as cl
+import asyncio
+
+from langchain_openai.chat_models import ChatOpenAI
+from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.messages import (
+    HumanMessage, 
+    SystemMessage
+)
+
+MESSAGE_HISTORY = "message_history"
+GPT3_MODEL_NAME = "gpt-3.5-turbo-0125"
+GPT4_MODEL_NAME = "gpt-4-turbo-preview"
+OPENAI_API_KEY=os.environ.get("OPENAI_API_KEY")
+
+print(f"==> OPENAI_API_KEY: {OPENAI_API_KEY}")
+_system_message = SystemMessage(content=(
+    "You are a helpful and creative assistant who tries your best to answer questions "
+    " in the most witty and funny way.  If you feel that a poetic touch is neede to "
+    " uplift the mood for the user, go ahead to write a sonnet.  Always be positive, "
+    " encouraging, and inspirational if possible."
+))
+_chat_model: ChatOpenAI
+
+@cl.on_chat_start
+async def start():
+    global _chat_model
+    _chat_model = ChatOpenAI(
+        model=GPT4_MODEL_NAME, 
+        temperature=0.5
+    )
+    cl.user_session.set(MESSAGE_HISTORY, [_system_message])
+    await cl.Message(
+        content="Hello there!  How are you?"
+    ).send()
+
+@cl.on_message
+async def main(message: cl.Message):
+        
+    messages = cl.user_session.get(MESSAGE_HISTORY) 
+    if not messages:
+        messages = [_system_message]
+
+    if len(message.elements) > 0:
+        for element in message.elements:
+            with open(element.path, "r") as uploaded_file:
+                content = uploaded_file.read()
+            messages.append(HumanMessage(content=content))
+            confirm_message = cl.Message(content=f"Uploaded file: {element.name}")
+            await confirm_message.send()
+
+    messages.append(HumanMessage(content=message.content))
+    prompt = ChatPromptTemplate.from_messages(messages=messages)
+    print(vars(prompt))
+    output_parser = StrOutputParser()
+
+    try:
+        chain = prompt | _chat_model | output_parser
+        response = chain.invoke({"input": message.content})
+    except Exception as e:
+        response = f"no response: {e}"
+
+    await cl.Message(
+        content=response
+    ).send()