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CJ Hauser
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Update app.py
Browse files
app.py
CHANGED
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@@ -1,9 +1,12 @@
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import gradio as gr
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from huggingface_hub import InferenceClient
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import os
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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def respond(
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message,
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history: list[tuple[str, str]],
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@@ -32,15 +35,14 @@ def respond(
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top_p=top_p,
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):
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token = message.choices[0].delta.content
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response += token
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yield response
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# Capture query parameter from the URL
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def get_query():
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return os.getenv("GRADIO_QUERY", "")
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query = get_query() # Get query input from the URL
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demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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@@ -55,9 +57,8 @@ demo = gr.ChatInterface(
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label="Top-p (nucleus sampling)",
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),
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],
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textbox=gr.Textbox(value=query, label="Your message:"), # Auto-fill with search query
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)
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if __name__ == "__main__":
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demo.launch()
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import gradio as gr
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from huggingface_hub import InferenceClient
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"""
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For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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"""
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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def respond(
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message,
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history: list[tuple[str, str]],
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top_p=top_p,
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):
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token = message.choices[0].delta.content
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response += token
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yield response
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"""
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For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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"""
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demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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label="Top-p (nucleus sampling)",
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),
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],
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)
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if __name__ == "__main__":
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demo.launch()
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