changed chainlit config

.chainlit/config.toml

@@ -0,0 +1,160 @@
+[project]
+# List of environment variables to be provided by each user to use the app.
+user_env = []
+
+# Duration (in seconds) during which the session is saved when the connection is lost
+session_timeout = 3600
+
+# Duration (in seconds) of the user session expiry
+user_session_timeout = 1296000 # 15 days
+
+# Enable third parties caching (e.g., LangChain cache)
+cache = false
+
+# Whether to persist user environment variables (API keys) to the database
+# Set to true to store user env vars in DB, false to exclude them for security
+persist_user_env = false
+
+# Whether to mask user environment variables (API keys) in the UI with password type
+# Set to true to show API keys as ***, false to show them as plain text
+mask_user_env = false
+
+# Authorized origins
+allow_origins = ["*"]
+
+[features]
+# Process and display HTML in messages. This can be a security risk (see https://stackoverflow.com/questions/19603097/why-is-it-dangerous-to-render-user-generated-html-or-javascript)
+unsafe_allow_html = false
+
+# Process and display mathematical expressions. This can clash with "$" characters in messages.
+latex = false
+
+# Autoscroll new user messages at the top of the window
+user_message_autoscroll = true
+
+# Autoscroll new assistant messages
+assistant_message_autoscroll = true
+
+# Automatically tag threads with the current chat profile (if a chat profile is used)
+auto_tag_thread = true
+
+# Allow users to edit their own messages
+edit_message = true
+
+# Allow users to share threads (backend + UI). Requires an app-defined on_shared_thread_view callback.
+allow_thread_sharing = false
+
+[features.slack]
+# Add emoji reaction when message is received (requires reactions:write OAuth scope)
+reaction_on_message_received = false
+
+# Authorize users to spontaneously upload files with messages
+[features.spontaneous_file_upload]
+enabled = true
+# Define accepted file types using MIME types
+# Examples:
+# 1. For specific file types:
+#    accept = ["image/jpeg", "image/png", "application/pdf"]
+# 2. For all files of certain type:
+#    accept = ["image/*", "audio/*", "video/*"]
+# 3. For specific file extensions:
+#    accept = { "application/octet-stream" = [".xyz", ".pdb"] }
+# Note: Using "*/*" is not recommended as it may cause browser warnings
+accept = ["*/*"]
+max_files = 20
+max_size_mb = 500
+
+[features.audio]
+# Enable audio features
+enabled = false
+# Sample rate of the audio
+sample_rate = 24000
+
+[features.mcp]
+# Enable Model Context Protocol (MCP) features
+enabled = false
+
+[features.mcp.sse]
+enabled = true
+
+[features.mcp.streamable-http]
+enabled = true
+
+[features.mcp.stdio]
+enabled = true
+# Only the executables in the allow list can be used for MCP stdio server.
+# Only need the base name of the executable, e.g. "npx", not "/usr/bin/npx".
+# Please don't comment this line for now, we need it to parse the executable name.
+allowed_executables = ["npx", "uvx"]
+
+[UI]
+# Name of the assistant.
+name = "Design Thinking Coach"
+
+# default_theme = "dark"
+
+# Force a specific language for all users (e.g., "en-US", "he-IL", "fr-FR")
+# If not set, the browser's language will be used
+# language = "en-US"
+
+# layout = "wide"
+
+# default_sidebar_state = "open"
+
+# Description of the assistant. This is used for HTML tags.
+# description = ""
+
+# Chain of Thought (CoT) display mode. Can be "hidden", "tool_call" or "full".
+cot = "full"
+
+# Specify a CSS file that can be used to customize the user interface.
+# The CSS file can be served from the public directory or via an external link.
+# custom_css = "/public/test.css"
+
+# Specify additional attributes for a custom CSS file
+# custom_css_attributes = "media=\"print\""
+
+# Specify a JavaScript file that can be used to customize the user interface.
+# The JavaScript file can be served from the public directory.
+# custom_js = "/public/test.js"
+
+# The style of alert boxes. Can be "classic" or "modern".
+alert_style = "classic"
+
+# Specify additional attributes for custom JS file
+# custom_js_attributes = "async type = \"module\""
+
+# Custom login page image, relative to public directory or external URL
+# login_page_image = "/public/custom-background.jpg"
+
+# Custom login page image filter (Tailwind internal filters, no dark/light variants)
+# login_page_image_filter = "brightness-50 grayscale"
+# login_page_image_dark_filter = "contrast-200 blur-sm"
+
+# Specify a custom meta URL (used for meta tags like og:url)
+# custom_meta_url = "https://github.com/Chainlit/chainlit"
+
+# Specify a custom meta image url.
+# custom_meta_image_url = "https://chainlit-cloud.s3.eu-west-3.amazonaws.com/logo/chainlit_banner.png"
+
+# Load assistant logo directly from URL.
+logo_file_url = ""
+
+# Load assistant avatar image directly from URL.
+default_avatar_file_url = ""
+
+# Specify a custom build directory for the frontend.
+# This can be used to customize the frontend code.
+# Be careful: If this is a relative path, it should not start with a slash.
+# custom_build = "./public/build"
+
+# Specify optional one or more custom links in the header.
+# [[UI.header_links]]
+#     name = "Issues"
+#     display_name = "Report Issue"
+#     icon_url = "https://avatars.githubusercontent.com/u/128686189?s=200&v=4"
+#     url = "https://github.com/Chainlit/chainlit/issues"
+#     target = "_blank" (default)  # Optional: "_self", "_parent", "_top".
+
+[meta]
+generated_by = "2.9.4"

.gitignore

@@ -208,4 +208,5 @@ __marimo__/
 
 # Chainlit
 
-.chainlit/
+# Ignore auto-generated translations but keep config
+.chainlit/translations/

Dockerfile

@@ -11,9 +11,10 @@ RUN pip install --no-cache-dir -r requirements.txt
 # Copy application files
 COPY app.py .
 COPY prompt.md .
+COPY chainlit.md .
 
-# Create chainlit config directory to avoid ContextVar issues
-RUN mkdir -p /app/.chainlit
+# Copy Chainlit configuration (with customizations)
+COPY .chainlit/ .chainlit/
 
 # Expose port 7860 (required for Hugging Face Spaces)
 EXPOSE 7860

app.py

@@ -74,8 +74,24 @@ async def on_chat_start():
     # Mark that this is a new session (for welcome message)
     cl.user_session.set("first_message", True)
 
-    # Don't send messages here to avoid ContextVar issues in deployment
-    # Messages will be handled in on_message instead
+    # Try to send welcome message here (works locally and sometimes in deployment)
+    # If it fails due to ContextVar issues, we'll send it on first message instead
+    try:
+        if ANTHROPIC_API_KEY:
+            welcome_msg = "What are you working on?"
+            await cl.Message(content=welcome_msg).send()
+
+            # Add welcome message to chat history
+            from langchain_core.messages import AIMessage
+            chat_history.add_message(AIMessage(content=welcome_msg))
+            cl.user_session.set("chat_history", chat_history)
+
+            # Mark that welcome message was sent
+            cl.user_session.set("welcome_sent", True)
+    except (LookupError, RuntimeError, Exception) as e:
+        # ContextVar or other initialization error - will send welcome on first message instead
+        print(f"Could not send welcome message in on_chat_start: {e}")
+        cl.user_session.set("welcome_sent", False)
 
 
 def is_simple_greeting(text: str) -> bool:
@@ -95,8 +111,10 @@ async def on_message(message: cl.Message):
         chat_history = InMemoryChatMessageHistory()
         cl.user_session.set("chat_history", chat_history)
 
-    # Check if this is the first message and send welcome message
+    # Check if this is the first message and send welcome message (if not already sent in on_chat_start)
     is_first = cl.user_session.get("first_message", False)
+    welcome_sent = cl.user_session.get("welcome_sent", False)
+
     if is_first:
         cl.user_session.set("first_message", False)
 
@@ -107,14 +125,16 @@ async def on_message(message: cl.Message):
             ).send()
             return
 
-        # Send welcome message - according to prompt section 1.6, ask ONE question: "What are you working on?"
-        welcome_msg = "What are you working on?"
-        await cl.Message(content=welcome_msg).send()
+        # Send welcome message only if it wasn't sent in on_chat_start
+        if not welcome_sent:
+            welcome_msg = "What are you working on?"
+            await cl.Message(content=welcome_msg).send()
 
-        # Add welcome message to chat history and persist back to session
-        from langchain_core.messages import AIMessage
-        chat_history.add_message(AIMessage(content=welcome_msg))
-        cl.user_session.set("chat_history", chat_history)  # Persist changes
+            # Add welcome message to chat history and persist back to session
+            from langchain_core.messages import AIMessage
+            chat_history.add_message(AIMessage(content=welcome_msg))
+            # Persist changes
+            cl.user_session.set("chat_history", chat_history)
 
         # If the user's first message is just a greeting, don't process it
         # Otherwise, continue to process their meaningful response

chainlit.md

@@ -1,14 +1,5 @@
-# Welcome to Chainlit! 🚀🤖
+# Welcome! 👋
 
-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.
+I'm your Design Thinking Coach, here to guide you through the creative problem-solving process.
 
-## 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.
+Let's start by understanding what you're working on.