Upload folder using huggingface_hub
Browse files- .gitignore +122 -0
- README.md +2 -8
- agent.py +58 -0
- gemini_client.py +17 -0
- requirements.txt +6 -0
- server.py +31 -0
.gitignore
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# ------------------------------
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| 2 |
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# Python
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| 3 |
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# ------------------------------
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| 4 |
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__pycache__/
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*.py[cod]
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| 6 |
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*$py.class
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# C extensions
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| 9 |
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*.so
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*.pyd
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| 11 |
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*.dll
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| 12 |
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# ------------------------------
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| 14 |
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# Environments
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| 15 |
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# ------------------------------
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| 16 |
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.venv/
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venv/
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env/
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ENV/
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.venv*/
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venv*/
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env*/
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ENV*/
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.python-version
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# ------------------------------
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| 27 |
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# Distribution / packaging
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| 28 |
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# ------------------------------
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| 29 |
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.Python
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| 30 |
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build/
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dist/
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| 32 |
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downloads/
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| 33 |
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eggs/
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| 34 |
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.eggs/
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sdist/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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| 40 |
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*.egg
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| 41 |
+
MANIFEST
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pip-wheel-metadata/
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pip-log.txt
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| 44 |
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pip-delete-this-directory.txt
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# ------------------------------
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| 47 |
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# Unit test / coverage reports
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| 48 |
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# ------------------------------
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.pytest_cache/
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junit*.xml
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# ------------------------------
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| 63 |
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# Type checkers / linters
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| 64 |
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# ------------------------------
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.mypy_cache/
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.dmypy.json
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dmypy.json
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.pyre/
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.pytype/
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.ruff_cache/
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# ------------------------------
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# PyInstaller
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# ------------------------------
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*.manifest
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*.spec
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# ------------------------------
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# Jupyter
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| 80 |
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# ------------------------------
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.ipynb_checkpoints/
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# ------------------------------
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# Logs and runtime files
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| 85 |
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# ------------------------------
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logs/
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*.log
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*.pid
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*.pid.lock
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# ------------------------------
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# Local environment variables & secrets
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# ------------------------------
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.env
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.env.*
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!.env.example
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# ------------------------------
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# Editors / IDEs / Tooling
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# ------------------------------
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.idea/
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*.iml
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.vscode/
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.history/
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.cursor/
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*.code-workspace
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# ------------------------------
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# OS-specific
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| 110 |
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# ------------------------------
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.DS_Store
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Thumbs.db
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ehthumbs.db
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Desktop.ini
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# ------------------------------
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# Optional local data & temp
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# ------------------------------
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tmp/
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temp/
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data/
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README.md
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---
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-
title:
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-
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-
colorFrom: red
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colorTo: green
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sdk: gradio
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sdk_version: 5.47.1
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app_file: app.py
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pinned: false
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---
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-
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: agent-mcp
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app_file: agent.py
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sdk: gradio
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sdk_version: 5.47.1
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---
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agent.py
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import asyncio
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import gradio as gr
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from agents.mcp import MCPServerStdio
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from agents import Agent, Runner, function_tool
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from gemini_client import client # <-- replace with your OpenAI/Gemini client
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import sys, os
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# --- MCP Servers ---
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mcp_fetch = MCPServerStdio(params={
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"command": "uvx",
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"args": ["mcp-server-fetch"],
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"client_session_timeout_seconds": 30
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})
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mcp_pii = MCPServerStdio(params={
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"command": "python",
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"args": ["server.py"], # your custom PII server
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"client_session_timeout_seconds": 30
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})
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# --- Main logic ---
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async def run_agent(url: str):
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async with mcp_fetch, mcp_pii:
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agent = Agent(
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name="PrivacyAssistant",
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model=client,
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instructions="You are a privacy assistant. Fetch data from URL, scan for PII, and return a safe version.",
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mcp_servers=[mcp_fetch, mcp_pii],
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)
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query = f"""
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Fetch {url}, scan the content for PII, and give me a safe redacted version.
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"""
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result = await Runner.run(agent, query)
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return result.final_output
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def process_url(url: str):
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return asyncio.run(run_agent(url))
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# --- Gradio UI ---
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with gr.Blocks() as demo:
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gr.Markdown("## 🔐 PII Privacy Checker with MCP + Agentic AI")
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url_input = gr.Textbox(label="Enter URL to fetch data", placeholder="https://example.com/data.txt")
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output = gr.Textbox(
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label="Safe Redacted Output",
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lines=15, # bigger height
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max_lines=30, # allow scroll if too long
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placeholder="Sanitized text will appear here..."
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)
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submit = gr.Button("Check for PII")
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submit.click(fn=process_url, inputs=url_input, outputs=output)
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demo.launch()
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gemini_client.py
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import os
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from dotenv import load_dotenv
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from agents import OpenAIChatCompletionsModel, AsyncOpenAI
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load_dotenv(override=True)
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| 6 |
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google_api_key = os.getenv("GOOGLE_API_KEY")
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base_url="https://generativelanguage.googleapis.com/v1beta/openai/"
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| 8 |
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| 9 |
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asyncllm = AsyncOpenAI(
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base_url=base_url,
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api_key=google_api_key
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)
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| 13 |
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| 14 |
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client = OpenAIChatCompletionsModel(
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| 15 |
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openai_client=asyncllm,
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model="gemini-2.5-flash"
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)
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requirements.txt
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requests
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fastmcp
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openai
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| 4 |
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openai-agents
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| 5 |
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gradio
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| 6 |
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python-dotenv
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server.py
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import re
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from fastmcp import FastMCP
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mcp = FastMCP("PII Privacy Server")
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patterns = {
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"email": r"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}",
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"phone": r"\b\d{10}\b",
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"credit_card": r"\b(?:\d[ -]*?){13,16}\b",
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"ssn": r"\b\d{3}-\d{2}-\d{4}\b"
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}
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@mcp.tool
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def scan_document(text: str) -> dict:
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"""Scan text and return sensitive info findings."""
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findings = []
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for label, pattern in patterns.items():
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for match in re.finditer(pattern, text):
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findings.append({"type": label, "value": match.group()})
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return {"findings": findings}
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@mcp.tool
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def redact_document(text: str) -> str:
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"""Redact sensitive info from text."""
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redacted = text
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for label, pattern in patterns.items():
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redacted = re.sub(pattern, f"[REDACTED-{label.upper()}]", redacted)
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return redacted
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if __name__ == "__main__":
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mcp.run()
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