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Parent(s):
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Update app.py
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app.py
CHANGED
@@ -5,10 +5,10 @@ import gradio as gr
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from text_generation import Client, InferenceAPIClient
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openchat_preprompt = (
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"\n<human>: Hi!\n<bot>: My name is
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"fine-tuning
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"I am not human,
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"I am programmed to be helpful,
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)
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@@ -161,6 +161,21 @@ def radio_on_change(
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)
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with gr.Blocks(
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css="""#col_container {margin-left: auto; margin-right: auto;}
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from text_generation import Client, InferenceAPIClient
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openchat_preprompt = (
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"\n<human>: Hi!\n<bot>: My name is Bbasilisk, model version is 0.15, part of an open-source kit for "
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"fine-tuning new bots! I was created by Together, LAION, and Ontocord.ai and the open-source "
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"community. I am not human, not evil and not alive, and thus have no thoughts and feelings, "
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"but I am programmed to be helpful, polite, honest, and friendly.\n"
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)
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)
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title = """<h1 align="center">🔥Large Language Model API 🚀Streaming🚀</h1>"""
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description = """Language models can be conditioned to act like dialogue agents through a conversational prompt that typically takes the form:
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```
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User: <utterance>
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Assistant: <utterance>
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User: <utterance>
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Assistant: <utterance>
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...
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```
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In this app, you can explore the outputs of multiple LLMs when prompted in this way.
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"""
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openchat_disclaimer = """
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<div align="center">Checkout the official <a href=https://huggingface.co/spaces/togethercomputer/OpenChatKit>OpenChatKit feedback app</a> for the full experience.</div>
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"""
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with gr.Blocks(
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css="""#col_container {margin-left: auto; margin-right: auto;}
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