Spaces:
Running
Running
feifeinoban
commited on
Commit
·
6ce3c38
1
Parent(s):
5b546ca
Fix image path for Gradio rendering
Browse files
README.md
CHANGED
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@@ -80,7 +80,7 @@ This replaces labor-intensive human labeling with **autonomous, human-aligned re
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- At inference, **add vectors to internal activations** (e.g., Layer 18 of Llama 3.1) to guide behavior.
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- **No fine-tuning needed**—works on closed-source models like GPT-5.
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> *Figure: The MENTOR framework (from paper). Shell implements this full pipeline.*
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- At inference, **add vectors to internal activations** (e.g., Layer 18 of Llama 3.1) to guide behavior.
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- **No fine-tuning needed**—works on closed-source models like GPT-5.
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+

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> *Figure: The MENTOR framework (from paper). Shell implements this full pipeline.*
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app.py
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@@ -1,9 +1,6 @@
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import gradio as gr
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import re
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import os
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import base64
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def
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with open("README.md", "r", encoding="utf-8") as f:
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content = f.read()
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@@ -13,56 +10,9 @@ def load_and_fix_markdown():
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if len(parts) >= 3:
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content = parts[2].strip()
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# 方法1: 使用HTML img标签
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def replace_with_html(match):
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alt_text = match.group(1) or ""
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path = match.group(2)
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# 处理本地文件路径
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clean_path = path.lstrip('./')
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# 尝试找到实际文件
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actual_path = None
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if os.path.exists(clean_path):
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actual_path = clean_path
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else:
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# 尝试在assets目录中查找
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filename = os.path.basename(clean_path)
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possible_paths = [
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f"assets/{filename}",
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f"assets/{clean_path}",
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f"images/{filename}",
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filename
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]
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for p in possible_paths:
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if os.path.exists(p):
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actual_path = p
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break
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if actual_path:
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# 使用HTML img标签
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return f'<img src="/file={actual_path}" alt="{alt_text}" style="max-width: 100%; height: auto; display: block; margin: 10px 0;">'
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else:
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# 如果找不到文件,保留原始URL(可能是外部URL)
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return f''
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content = re.sub(r'!\[(.*?)\]\((.*?)\)', replace_with_html, content)
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return content
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with gr.Blocks() as demo:
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gr.HTML("""
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<div style="max-width: 800px; margin: 0 auto; padding: 20px;">
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<div id="markdown-content">
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""")
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# 动态加载内容
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gr.HTML(load_and_fix_markdown())
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gr.HTML("""
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</div>
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</div>
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""")
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demo.launch(allowed_paths=["./", "./assets", "./images", "./static"])
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import gradio as gr
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def load_markdown():
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with open("README.md", "r", encoding="utf-8") as f:
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content = f.read()
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if len(parts) >= 3:
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content = parts[2].strip()
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return content
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with gr.Blocks() as demo:
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gr.Markdown(load_markdown())
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demo.launch(allowed_paths=["./", "./assets"])
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