Initial sample chainlit

Dockerfile

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+FROM python:3.9
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+# Create a non-root user
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+RUN useradd -m -u 1000 user
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+
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+USER user
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+# Set PATH to include user's local bin
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+ENV PATH="/home/user/.local/bin:$PATH"
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+# Set working directory
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+WORKDIR /app
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+# Copy requirements file with appropriate ownership
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+COPY --chown=user ./requirements.txt requirements.txt
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+# Install dependencies
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+RUN pip install --no-cache-dir --upgrade -r requirements.txt
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+# Copy application files with appropriate ownership
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+COPY --chown=user . /app
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+# Set environment variables for Chainlit
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+ENV HOST=0.0.0.0
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+ENV PORT=7860
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+ENV CHAINLIT_SERVER_PORT=7860
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+ENV CHAINLIT_HOST="0.0.0.0"
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+# Change the CMD to use chainlit
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+CMD ["chainlit", "run", "app.py"]

app.py

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+import chainlit as cl
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+from typing import Optional
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+import time
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+# Store conversation history
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+conversation_memory = []
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+@cl.on_chat_start
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+async def start():
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+    """Initializes the chat session"""
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+    # Send an initial message
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+    await cl.Message(
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+        content="👋 Hello! I'm your AI assistant. How can I help you today?",
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+        author="Assistant"
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+    ).send()
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+
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+    
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+    # Set some session variables
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+    cl.user_session.set("conversation_started", True)
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+@cl.on_message
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+async def main(message: cl.Message):
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+    """Main message handler"""
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+
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+    
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+    # Simulate some processing time
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+    with cl.Step("Processing...") as step:
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+        time.sleep(1)  # Simulated delay
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+        step.output = "Processed message"
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+
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+    
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+    # Store message in conversation history
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+    conversation_memory.append({
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+        "role": "user",
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+        "content": message.content
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+    })
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+    
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+    # Create a response
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+    response = f"I received your message: '{message.content}'. This is a demo response."
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+
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+    
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+    # Store response in conversation history
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+    conversation_memory.append({
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+        "role": "assistant",
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+        "content": response
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+    })
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+    
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+    # Send response with typing effect
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+    await cl.Message(
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+        content=response,
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+        author="Assistant"
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+    ).send()
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+@cl.password_auth_callback
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+def auth_callback(username: str, password: str) -> Optional[cl.User]:
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+    """Basic authentication handler"""
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+    # This is a simple example - in production, use proper authentication
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+    if username == "demo" and password == "password":
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+        return cl.User(identifier="demo", metadata={"role": "user"})
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+
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+    return None
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+@cl.on_chat_end
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+async def end():
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+    """Cleanup when chat ends"""
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+    await cl.Message(content="👋 Thank you for chatting! Goodbye!").send()
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+# Custom action handler example
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+@cl.action_callback("feedback")
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+async def on_action(action):
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+    """Handles custom feedback action"""
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+    await cl.Message(content=f"Received feedback: {action.value}").send()

requirements.txt

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+fastapi
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+uvicorn[standard]
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+chainlit