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kz209
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34ffea3
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Parent(s):
431a171
update
Browse files- pages/arena.py +5 -7
pages/arena.py
CHANGED
@@ -11,20 +11,18 @@ from utils.multiple_stream import stream_data
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from pages.summarization_playground import get_model_batch_generation
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def create_arena():
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with gr.Blocks() as demo:
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with gr.Group():
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gr.Markdown("## This is a playground to test prompts for clinical dialogue summarizations")
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with open("prompt/prompt.json", "r") as file:
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json_data = file.read()
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prompts = json.loads(json_data)
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datapoint = random.choice(dataset)
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datapoint = datapoint['section_text'] + '\n\nDialogue:\n' + datapoint['dialogue']
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submit_button = gr.Button("✨ Submit ✨")
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with gr.Row():
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columns = [gr.Textbox(label=f"Column {i+1}", lines=10) for i in range(
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content_list = [prompt + '\n{' + datapoint + '}\n\nsummary:' for prompt in prompts]
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model = get_model_batch_generation("Qwen/Qwen2-1.5B-Instruct")
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from pages.summarization_playground import get_model_batch_generation
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def create_arena():
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with open("prompt/prompt.json", "r") as file:
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json_data = file.read()
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prompts = json.loads(json_data)
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with gr.Blocks() as demo:
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with gr.Group():
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datapoint = random.choice(dataset)
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datapoint = datapoint['section_text'] + '\n\nDialogue:\n' + datapoint['dialogue']
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submit_button = gr.Button("✨ Submit ✨")
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with gr.Row():
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columns = [gr.Textbox(label=f"Column {i+1}", lines=10) for i in range(len(prompts))]
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content_list = [prompt + '\n{' + datapoint + '}\n\nsummary:' for prompt in prompts]
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model = get_model_batch_generation("Qwen/Qwen2-1.5B-Instruct")
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