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Browse files
app.py
CHANGED
@@ -1,10 +1,8 @@
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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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client = InferenceClient("unsloth/Llama-3.2-3B-Instruct")
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def respond(
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response = ""
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for message in client.chat_completion(
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messages,
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max_tokens=max_tokens,
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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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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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@@ -59,6 +55,5 @@ demo = gr.ChatInterface(
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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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import gradio as gr
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from huggingface_hub import InferenceClient
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# Replace with your fine-tuned model endpoint
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client = InferenceClient("emeses/lab2_model")
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def respond(
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response = ""
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# Stream tokens from the model response
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for message in client.chat_completion(
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messages,
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max_tokens=max_tokens,
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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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# Gradio interface
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demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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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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