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Update app.py
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app.py
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@@ -11,11 +11,11 @@ import chainlit as cl
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@cl.on_chat_start
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async def start():
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welcome_message1 = "Hi, I'm **Ben**! Your Benchmarking Assistant"
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welcome_message2 = "Powered by GPT-4, I can assist you with in-depth analysis of annual reports of some of the world's leading tech giants:\n- **Meta**\n- **Amazon**\n- **Alphabet**\n- **Apple**\n- **Microsoft**,\n\nfor the years **2022, 2021, and 2020**.\n\nWhether you are comparing financial performances, exploring trends, or seeking detailed insights across different years, Ben transforms complex data into actionable knowledge. Unlock the power of informed decision-making today with
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sample_questions="Some of the questions you can try:\n***"
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elements = [
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cl.Image(path="
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# cl.Text(content=welcome_message1, name="10K-GPT", display="inline"),
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]
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await cl.Message(content=welcome_message1, elements=elements).send()
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@cl.on_chat_start
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async def start():
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welcome_message1 = "Hi, I'm **Ben**! Your Benchmarking Assistant"
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welcome_message2 = "Powered by GPT-4, I can assist you with in-depth analysis of annual reports of some of the world's leading tech giants:\n- **Meta**\n- **Amazon**\n- **Alphabet**\n- **Apple**\n- **Microsoft**,\n\nfor the years **2022, 2021, and 2020**.\n\nWhether you are comparing financial performances, exploring trends, or seeking detailed insights across different years, Ben transforms complex data into actionable knowledge. Unlock the power of informed decision-making today with me!\n\nPlease ask a question to begin!"
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sample_questions="Some of the questions you can try:\n***"
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elements = [
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cl.Image(path="BenLogo2.png", name="Ben", display="inline"),
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# cl.Text(content=welcome_message1, name="10K-GPT", display="inline"),
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]
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await cl.Message(content=welcome_message1, elements=elements).send()
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