Spaces:
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Sleeping
Updated UI
Browse files- chatbot-gradio.py +150 -167
chatbot-gradio.py
CHANGED
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@@ -1,3 +1,4 @@
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import logging
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import uuid
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from semantic_kernel import Kernel
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@@ -161,24 +162,22 @@ kernel.add_plugin(ConverterPlugin(logger=logger), "CosmosDBPlugin")
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kernel.add_plugin(ChatMemoryPlugin(logger=logger), "ChatMemoryPlugin")
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kernel.add_plugin(NL2SQLPlugin(), "NL2SQLPlugin")
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def initialize_session():
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return str(uuid.uuid4())
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# Updated query handler using function calling
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async def handle_query(user_input: str, session_state):
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-
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settings = AzureChatPromptExecutionSettings(
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function_choice_behavior=FunctionChoiceBehavior.Auto(auto_invoke=True)
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)
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ARTNR_PATTERN = r'\b
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prompt = f"""
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You are a product catalog customer service chatbot for TAL BV. Answer questions about converters, their specifications and lamps. Process this user query:
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{user_input}
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artnr Pattern: {ARTNR_PATTERN}
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Available functions:
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- generate_sql: Creates SQL queries (use only for complex queries or schema keywords)
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@@ -248,10 +247,11 @@ async def handle_query(user_input: str, session_state):
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)
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func_name = result.model_dump()["metadata"]["messages"]["messages"][2]["items"][0]["name"]
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log_func = kernel.get_function("ChatMemoryPlugin", "log_interaction")
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await log_func.invoke(
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kernel=kernel,
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session_id=
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question=user_input,
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function_used=func_name,
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answer=str(result)
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@@ -264,218 +264,201 @@ async def handle_query(user_input: str, session_state):
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error_func = kernel.get_function("ChatMemoryPlugin", "log_interaction")
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await error_func.invoke(
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kernel=kernel,
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session_id=
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question=user_input,
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function_used="error",
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answer=str(e)
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)
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raise
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# async def main():
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# # cm = ChatMemoryPlugin(logger)
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# # await cm.get_semantic_faqs()
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# while True:
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# try:
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# query = input("User: ")
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# if query.lower() in ["exit", "quit"]:
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# break
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# response = await handle_query(query)
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# print(response)
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# except KeyboardInterrupt:
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# break
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# if __name__ == "__main__":
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# import asyncio
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# asyncio.run(main())
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#
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#chatbot-toggle-btn {
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position: fixed;
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bottom: 30px;
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right: 30px;
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z-index: 10001;
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background-color: #ED1C24;
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color: white;
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border: none;
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border-radius: 50%;
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width: 56px;
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height: 56px;
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font-size: 28px;
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font-weight: bold;
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cursor: pointer;
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box-shadow: 0 4px 12px rgba(0, 0, 0, 0.4);
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display: flex;
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align-items: center;
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justify-content: center;
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transition: all 0.3s ease;
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}
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#chatbot-panel {
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position: fixed;
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bottom:
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right: 2vw;
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z-index: 10000;
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width: 95vw;
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max-width: 600px;
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height: 90vh;
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max-height: 700px;
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background-color: #ffffff;
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border-radius: 20px;
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box-shadow: 0 4px 24px rgba(0, 0, 0, 0.25);
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display: flex;
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flex-direction: column;
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overflow: hidden;
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font-family: 'Arial', sans-serif;
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}
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@media (max-width: 600px) {
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#chatbot-panel {
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width: 100vw;
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height: 100vh;
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right: 0;
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bottom: 0;
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border-radius: 0;
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}
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#chatbot-toggle-btn {
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right: 10px;
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bottom: 10px;
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width: 48px;
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height: 48px;
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font-size: 24px;
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}
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}
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#chatbot-panel.hide {
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display: none !important;
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}
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#chat-header {
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color: white;
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padding: 20px;
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font-weight: bold;
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font-size: 22px;
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display: flex;
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align-items: center;
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gap: 12px;
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width: 100%;
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box-sizing: border-box;
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#chat-header img {
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border-radius: 50%;
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width: 40px;
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height: 40px;
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}
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.gr-chatbot {
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padding: 20px;
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background-color: #f9f9f9;
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border-top: 1px solid #eee;
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border-bottom: 1px solid #eee;
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display: flex;
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flex-direction: column;
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gap: 12px;
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box-sizing: border-box;
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}
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.gr-textbox {
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padding: 16px 20px;
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background-color: #fff;
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display: flex;
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align-items: center;
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gap: 12px;
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border-top: 1px solid #eee;
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box-sizing: border-box;
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}
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.gr-textbox textarea {
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flex: 1;
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resize: none;
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padding: 12px;
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background-color: white;
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border: 1px solid #ccc;
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border-radius: 8px;
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font-family: inherit;
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font-size: 16px;
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box-sizing: border-box;
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height: 48px;
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line-height: 1.5;
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}
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padding: 12px 20px;
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cursor: pointer;
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font-weight: bold;
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transition: background-color 0.3s ease;
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font-size: 16px;
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}
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"""
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panel_visible = False
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def toggle_panel():
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global panel_visible
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panel_visible = not panel_visible
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return gr.Column(visible=panel_visible)
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toggle_btn = gr.Button("💬", elem_id="chatbot-toggle-btn")
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#
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chat_panel = gr.Column(visible=panel_visible, elem_id="chatbot-panel")
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with chat_panel:
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#
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response = await handle_query(message, session_state)
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#
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chat_history.append({"role": "user", "content": message})
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chat_history.append({"role": "assistant", "content": response})
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return "", chat_history
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send.click(respond, [msg, chatbot
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msg.submit(respond, [msg, chatbot
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toggle_btn.click(toggle_panel, outputs=chat_panel)
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demo.launch()
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import asyncio
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import logging
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import uuid
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from semantic_kernel import Kernel
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kernel.add_plugin(ChatMemoryPlugin(logger=logger), "ChatMemoryPlugin")
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kernel.add_plugin(NL2SQLPlugin(), "NL2SQLPlugin")
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# Updated query handler using function calling
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async def handle_query(user_input: str, session_state:str):
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settings = AzureChatPromptExecutionSettings(
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function_choice_behavior=FunctionChoiceBehavior.Auto(auto_invoke=True)
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)
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ARTNR_PATTERN = r'\b(?:\d{5}|\d{6})\b'
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prompt = f"""
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You are a product catalog customer service chatbot for TAL BV. Answer questions about converters, their specifications and lamps. Process this user query:
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{user_input}
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artnr Pattern: {ARTNR_PATTERN}
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artnrs are usually numbers like 40057 or 930565
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Available functions:
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- generate_sql: Creates SQL queries (use only for complex queries or schema keywords)
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)
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func_name = result.model_dump()["metadata"]["messages"]["messages"][2]["items"][0]["name"]
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print(func_name)
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log_func = kernel.get_function("ChatMemoryPlugin", "log_interaction")
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await log_func.invoke(
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kernel=kernel,
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session_id=session_state,
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question=user_input,
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function_used=func_name,
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answer=str(result)
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error_func = kernel.get_function("ChatMemoryPlugin", "log_interaction")
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await error_func.invoke(
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kernel=kernel,
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session_id=session_state,
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question=user_input,
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function_used="error",
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answer=str(e)
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)
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raise
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import gradio as gr
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# Create a custom theme based on your brand colors
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custom_theme = gr.themes.Base(
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primary_hue="red",
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secondary_hue="amber",
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font=[gr.themes.GoogleFont('Inter'), 'ui-sans-serif', 'system-ui', 'sans-serif'],
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font_mono=[gr.themes.GoogleFont('Roboto Mono'), 'ui-monospace', 'Consolas', 'monospace'],
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)
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# Minimal CSS for positioning only (avoiding styling)
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minimal_css = """
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#chatbot-toggle-btn {
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position: fixed;
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bottom: 30px;
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right: 30px;
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z-index: 10001;
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}
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#chatbot-panel {
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position: fixed;
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bottom: 5vh;
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right: 2vw;
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z-index: 10000;
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width: 95vw;
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max-width: 600px;
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height: 90vh;
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max-height: 700px;
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}
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#chat-header {
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width: calc(100% + 20px);
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box-sizing: border-box;
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margin: 0 -10px;
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margin-bottom: -7px !important;
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}
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.gr-chatbot {
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margin-top: -7px;
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width: 100%;
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box-sizing: border-box;
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}
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#chat-header img {
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border-radius: 50%;
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width: 50px;
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height: 50px;
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filter: brightness(0) invert(1);
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}
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#chatbot-toggle-btn {
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right: 30px;
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bottom: 30px;
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width: 48px;
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height: 48px;
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font-size: 24px;
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}
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@media (max-width: 600px) {
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#chatbot-panel {
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| 334 |
+
width: 100vw;
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| 335 |
+
height: 100vh;
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| 336 |
+
right: 0;
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| 337 |
+
bottom: 0;
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| 338 |
+
}
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| 339 |
|
| 340 |
"""
|
|
|
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| 341 |
panel_visible = False
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| 342 |
|
| 343 |
+
async def get_chatbot_examples():
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+
"""Fetch FAQs and format them as Gradio chatbot examples"""
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+
try:
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| 346 |
+
# Get your chat memory plugin instance
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+
get_faqs_func = kernel.get_function("ChatMemoryPlugin", "get_semantic_faqs")
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| 348 |
+
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| 349 |
+
# Call the function to get FAQs
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| 350 |
+
result = await get_faqs_func.invoke(kernel=kernel, limit=6, threshold=0.1)
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| 351 |
+
faqs = result.value if hasattr(result, 'value') else result
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| 352 |
+
|
| 353 |
+
# Format as Gradio examples
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+
examples = []
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| 355 |
+
for faq in faqs:
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| 356 |
+
examples.append({
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| 357 |
+
"text": faq,
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| 358 |
+
"display_text": faq
|
| 359 |
+
})
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| 360 |
+
|
| 361 |
+
return examples
|
| 362 |
+
except Exception as e:
|
| 363 |
+
logger.error(f"Failed to load FAQ examples: {str(e)}")
|
| 364 |
+
return []
|
| 365 |
+
|
| 366 |
+
def get_examples_sync():
|
| 367 |
+
try:
|
| 368 |
+
loop = asyncio.get_event_loop()
|
| 369 |
+
return loop.run_until_complete(get_chatbot_examples())
|
| 370 |
+
except:
|
| 371 |
+
# If no event loop, create one
|
| 372 |
+
return asyncio.run(get_chatbot_examples())
|
| 373 |
+
|
| 374 |
def toggle_panel():
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| 375 |
global panel_visible
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panel_visible = not panel_visible
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| 377 |
return gr.Column(visible=panel_visible)
|
| 378 |
|
| 379 |
+
# Apply the custom theme to your Blocks
|
| 380 |
+
with gr.Blocks(theme=custom_theme, css=minimal_css) as demo:
|
| 381 |
+
faqs = gr.State(get_examples_sync())
|
| 382 |
|
| 383 |
+
session_id = gr.State(str(uuid.uuid4()))
|
|
|
|
| 384 |
|
| 385 |
+
# Toggle button
|
| 386 |
+
toggle_btn = gr.Button(
|
| 387 |
+
"💬",
|
| 388 |
+
elem_id="chatbot-toggle-btn",
|
| 389 |
+
variant="primary",
|
| 390 |
+
size="sm"
|
| 391 |
+
)
|
| 392 |
+
|
| 393 |
+
# Chat panel
|
| 394 |
chat_panel = gr.Column(visible=panel_visible, elem_id="chatbot-panel")
|
| 395 |
+
|
| 396 |
with chat_panel:
|
| 397 |
+
# Header - Remove the gr.Row wrapper and place directly in the column
|
| 398 |
+
gr.HTML("""
|
| 399 |
+
<div id='chat-header' style='
|
| 400 |
+
background-color: var(--button-primary-background-fill);
|
| 401 |
+
color: var(--button-primary-text-color);
|
| 402 |
+
padding: 30px;
|
| 403 |
+
font-weight: bold;
|
| 404 |
+
font-size: 30px;
|
| 405 |
+
display: flex;
|
| 406 |
+
align-items: center;
|
| 407 |
+
box-sizing: border-box;
|
| 408 |
+
border-radius: var(--radius-md);'>
|
| 409 |
+
<img src="https://www.svgrepo.com/download/490283/pixar-lamp.svg"
|
| 410 |
+
style="width: 50px; height: 50px; border-radius: 50%; margin-right: 15px; filter: brightness(0) invert(1);" />
|
| 411 |
+
Lofty the TAL Bot
|
| 412 |
+
</div>
|
| 413 |
+
""")
|
|
|
|
| 414 |
|
| 415 |
+
# Chatbot with theme styling
|
| 416 |
+
chatbot = gr.Chatbot(
|
| 417 |
+
type="messages",
|
| 418 |
+
height=400,
|
| 419 |
+
show_copy_button=True,
|
| 420 |
+
container=False,
|
| 421 |
+
resizable=True,
|
| 422 |
+
examples=faqs.value
|
| 423 |
+
)
|
| 424 |
+
|
| 425 |
+
# Input with theme styling
|
| 426 |
+
with gr.Row():
|
| 427 |
+
msg = gr.Textbox(
|
| 428 |
+
placeholder="Type your question here...",
|
| 429 |
+
container=False,
|
| 430 |
+
scale=4
|
| 431 |
+
)
|
| 432 |
+
|
| 433 |
+
send = gr.Button(
|
| 434 |
+
"Send",
|
| 435 |
+
variant="primary",
|
| 436 |
+
scale=1
|
| 437 |
+
)
|
| 438 |
+
|
| 439 |
+
def handle_example_select(evt: gr.SelectData):
|
| 440 |
+
"""Handle when user clicks on an example"""
|
| 441 |
+
examples = faqs.value
|
| 442 |
+
if evt.index < len(examples):
|
| 443 |
+
selected_example = examples[evt.index]
|
| 444 |
+
return selected_example.get("text", "")
|
| 445 |
+
return ""
|
| 446 |
+
|
| 447 |
+
# Connect the example_select event to populate the textbox
|
| 448 |
+
chatbot.example_select(
|
| 449 |
+
fn=handle_example_select,
|
| 450 |
+
outputs=msg
|
| 451 |
+
)
|
| 452 |
+
|
| 453 |
+
# Your existing event handlers
|
| 454 |
+
async def respond(message, chat_history):
|
| 455 |
+
response = await handle_query(message, session_id.value)
|
| 456 |
chat_history.append({"role": "user", "content": message})
|
| 457 |
chat_history.append({"role": "assistant", "content": response})
|
| 458 |
return "", chat_history
|
| 459 |
+
|
| 460 |
+
send.click(respond, [msg, chatbot], [msg, chatbot])
|
| 461 |
+
msg.submit(respond, [msg, chatbot], [msg, chatbot])
|
| 462 |
toggle_btn.click(toggle_panel, outputs=chat_panel)
|
| 463 |
|
| 464 |
+
demo.launch()
|