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Update app.py
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app.py
CHANGED
@@ -13,6 +13,7 @@ import pandas as pd
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rekaeval = "RekaAI/VibeEval"
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dataset = load_dataset(rekaeval, split="test")
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df = pd.DataFrame(dataset)
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df_markdown = df.copy()
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# Function to convert URL to HTML img tag
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@@ -30,6 +31,8 @@ PLACEHOLDER = """
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<p style="font-size: 18px; margin-bottom: 2px; opacity: 0.65;">Test your Vision LLMs with new Vibe-Evals from REKA</p>
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</div>
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"""
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model_id = "xtuner/llava-llama-3-8b-v1_1-transformers"
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@@ -112,12 +115,12 @@ tmp = '''with gr.Blocks(fill_height=True, ) as demo:
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)'''
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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gr.ChatInterface(
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fn=bot_streaming,
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title="Testing LLaVA-Llama3-8b with Reka's Vibe-Eval",
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description="Try [LLaVA Llama-3-8B](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1-transformers). Upload an image and start chatting about it, or simply try one of the examples below. If you don't upload an image, you will receive an error.",
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stop_btn="Stop Generation",
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multimodal=True,
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textbox=chat_input,
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rekaeval = "RekaAI/VibeEval"
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dataset = load_dataset(rekaeval, split="test")
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df = pd.DataFrame(dataset)
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df = df[['media_url', 'prompt']]
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df_markdown = df.copy()
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# Function to convert URL to HTML img tag
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<p style="font-size: 18px; margin-bottom: 2px; opacity: 0.65;">Test your Vision LLMs with new Vibe-Evals from REKA</p>
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</div>
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"""
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title="Testing LLaVA-Llama3-8b with Reka's Vibe-Eval",
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description="Try [LLaVA Llama-3-8B](https://huggingface.co/xtuner/llava-llama-3-8b-v1_1-transformers). Upload an image and start chatting about it, or simply try one of the examples below. If you don't upload an image, you will receive an error.",
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model_id = "xtuner/llava-llama-3-8b-v1_1-transformers"
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)'''
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with gr.Blocks() as demo:
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gr.HTML(f'<h1><center>{title}</center></h1>')
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gr.HTML(f'<center>{description}</center>')
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with gr.Row():
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with gr.Column():
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gr.ChatInterface(
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fn=bot_streaming,
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stop_btn="Stop Generation",
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multimodal=True,
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textbox=chat_input,
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