Commit
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2c3da68
1
Parent(s):
7e8d773
added model selection
Browse files
app.py
CHANGED
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@@ -4,17 +4,20 @@ 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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-
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def respond(
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message,
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history: list[tuple[str, str]],
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system_message,
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max_tokens,
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temperature,
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top_p,
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):
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messages = [{"role": "system", "content": system_message}]
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for val in history:
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@@ -43,11 +46,16 @@ def respond(
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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=
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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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minimum=0.1,
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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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+
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#client = InferenceClient(model="lab2-as/lora_model_gguf")
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def respond(
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message,
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history: list[tuple[str, str]],
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model,
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system_message,
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max_tokens,
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temperature,
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top_p,
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):
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client = InferenceClient(model=model)
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messages = [{"role": "system", "content": system_message}]
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for val in history:
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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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model_choices = [
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"lab2-as/lora_model_gguf",
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"lab2-as/lora_model",
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]
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demo = gr.ChatInterface(
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lambda *args: respond(*args),
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additional_inputs=[
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gr.Dropdown(choices=model_choices, value=model_choices[0], label="Select Model"),
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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=128, 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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minimum=0.1,
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