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test
Browse files- app.py +1 -4
- requirements.txt +4 -1
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("
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def respond(
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@@ -15,8 +15,6 @@ def respond(
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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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-
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for val in history:
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if val[0]:
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messages.append({"role": "user", "content": val[0]})
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@@ -45,7 +43,6 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
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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("HODACHI/EZO-Common-9B-gemma-2-it")
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def respond(
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temperature,
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top_p,
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):
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for val in history:
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if val[0]:
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messages.append({"role": "user", "content": val[0]})
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demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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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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requirements.txt
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@@ -1 +1,4 @@
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huggingface_hub==0.22.2
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huggingface_hub==0.22.2
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transformers
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accelerate==0.27.2
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sentencepiece
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