streaming and memory management
Browse files
app.py
CHANGED
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@@ -84,17 +84,26 @@ Technical answer (following the exact structure above):""")
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def predict(message, history):
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"""
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Process each message with streaming
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"""
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token_queue = Queue()
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stream_handler = StreamHandler(token_queue)
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# Create
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# Function to process the message and add to queue
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def get_response():
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result = qa_chain({"question": message})
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# Add sources to queue
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sources = "\n\nSources:\n"
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seen_components = set()
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@@ -135,7 +144,7 @@ with gr.Blocks() as demo:
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chatbot = gr.ChatInterface(
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predict,
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title="Apple Music API Documentation Assistant",
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description="Ask questions about the Apple Music API documentation.",
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examples=[
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"How to search for songs on Apple Music API?",
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"What are the required parameters for searching songs?",
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@@ -145,4 +154,3 @@ with gr.Blocks() as demo:
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if __name__ == "__main__":
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demo.queue().launch()
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-
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def predict(message, history):
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"""
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Process each message with streaming and handle quit commands
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"""
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# Check for quit command
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if message.lower() in ['quit', 'exit', 'bye']:
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# Clear the QA chain if it exists
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if hasattr(predict, 'qa_chain'):
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predict.qa_chain.memory.clear()
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delattr(predict, 'qa_chain')
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return "Chat history cleared. Goodbye!"
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token_queue = Queue()
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stream_handler = StreamHandler(token_queue)
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# Create or get QA chain
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if not hasattr(predict, 'qa_chain'):
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predict.qa_chain = create_qa_chain(stream_handler)
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# Function to process the message and add to queue
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def get_response():
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result = predict.qa_chain({"question": message})
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# Add sources to queue
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sources = "\n\nSources:\n"
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seen_components = set()
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chatbot = gr.ChatInterface(
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predict,
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title="Apple Music API Documentation Assistant",
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description="Ask questions about the Apple Music API documentation. Type 'quit', 'exit', or 'bye' to clear chat history.",
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examples=[
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"How to search for songs on Apple Music API?",
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"What are the required parameters for searching songs?",
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if __name__ == "__main__":
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demo.queue().launch()
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