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Add qwen 2.5 72B Instruct model

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  1. app.py +5 -5
app.py CHANGED
@@ -4,7 +4,7 @@ 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(
@@ -38,15 +38,15 @@ def respond(
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  response += token
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  yield response
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-
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-
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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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- gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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  gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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  gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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  gr.Slider(
 
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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("Qwen/Qwen2.5-72B-Instruct")
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  def respond(
 
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  response += token
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  yield response
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+
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+
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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/gradio/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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+ gr.Textbox(value="You are a friendly Chatbot. Always reply in the language in which the user is writing to you.", label="System message"),
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  gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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  gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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  gr.Slider(