Add gemma model
Browse files
app.py
CHANGED
@@ -5,7 +5,20 @@ 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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@spaces.GPU
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def respond(
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@@ -16,7 +29,6 @@ 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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for val in history:
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if val[0]:
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@@ -26,20 +38,13 @@ def respond(
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messages.append({"role": "user", "content": message})
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for message in client.chat_completion(
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messages,
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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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@@ -47,7 +52,7 @@ 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="
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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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model_id = "GoToCompany/gemma2-9b-cpt-sahabatai-v1-instruct"
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pipeline = transformers.pipeline(
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"text-generation",
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model=model_id,
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model_kwargs={"torch_dtype": torch.bfloat16},
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device_map="auto",
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)
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terminators = [
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pipeline.tokenizer.eos_token_id,
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pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>")
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]
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@spaces.GPU
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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": message})
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outputs = pipeline(
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messages,
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max_new_tokens=256,
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eos_token_id=terminators,
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)
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yield outputs[0]["generated_text"][-1]
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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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demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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gr.Textbox(value="Kamu adalah seorang asisten yang baik", 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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