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Parent(s): f9b1458
add files
Browse filesSigned-off-by: apple muncy <apple@llama-3.local>
- Dockerfile +33 -0
- README.md +15 -8
- mcp_server.py +184 -0
- requirements.txt +77 -0
Dockerfile
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FROM python:3.11-slim
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# Set working directory
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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git \
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&& rm -rf /var/lib/apt/lists/*
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# Copy project files
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COPY pyproject.toml .
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COPY server.py .
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COPY mcp_server.py .
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COPY env.example .
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COPY README.md .
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# Install Python dependencies
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RUN pip install --no-cache-dir -e .
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# Create a non-root user
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RUN useradd -m -u 1000 appuser && chown -R appuser:appuser /app
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USER appuser
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# Expose port
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EXPOSE 8000
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:8000/ || exit 1
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# Run the application
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CMD ["python", "server.py"]
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README.md
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---
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-
title:
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emoji:
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colorFrom:
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colorTo:
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sdk: gradio
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sdk_version: 5.
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app_file: app.py
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pinned: false
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-
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short_description: Test of Unit 3.1 client server werhooks
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---
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-
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---
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title: tag-a-repo bot
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emoji: 👀
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colorFrom: purple
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colorTo: yellow
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sdk: gradio
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sdk_version: 5.31.0
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app_file: app.py
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pinned: false
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base_path: /gradio
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---
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# HF Tagging Bot
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This is a bot that tags HuggingFace models when they are mentioned in discussions.
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## How it works
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1. The bot listens to discussions on the HuggingFace Hub
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2. When a discussion is created, the bot checks for tag mentions in the comment
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3. If a tag is mentioned, the bot adds the tag to the model repository via a PR
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mcp_server.py
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#!/usr/bin/env python3
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"""
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Simplified MCP Server for HuggingFace Hub Tagging Operations using FastMCP
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"""
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import os
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import json
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from fastmcp import FastMCP
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from huggingface_hub import HfApi, model_info, ModelCard, ModelCardData
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from huggingface_hub.utils import HfHubHTTPError
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from dotenv import load_dotenv
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load_dotenv()
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# Configuration
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HF_TOKEN = os.getenv("HF_TOKEN")
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# Initialize HF API client
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hf_api = HfApi(token=HF_TOKEN) if HF_TOKEN else None
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# Create the FastMCP server
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mcp = FastMCP("hf-tagging-bot")
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@mcp.tool()
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def get_current_tags(repo_id: str) -> str:
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"""Get current tags from a HuggingFace model repository"""
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print(f"🔧 get_current_tags called with repo_id: {repo_id}")
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if not hf_api:
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error_result = {"error": "HF token not configured"}
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json_str = json.dumps(error_result)
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print(f"❌ No HF API token - returning: {json_str}")
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return json_str
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try:
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print(f"📡 Fetching model info for: {repo_id}")
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info = model_info(repo_id=repo_id, token=HF_TOKEN)
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current_tags = info.tags if info.tags else []
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print(f"🏷️ Found {len(current_tags)} tags: {current_tags}")
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result = {
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"status": "success",
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"repo_id": repo_id,
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"current_tags": current_tags,
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"count": len(current_tags),
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}
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json_str = json.dumps(result)
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print(f"✅ get_current_tags returning: {json_str}")
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return json_str
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except Exception as e:
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print(f"❌ Error in get_current_tags: {str(e)}")
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error_result = {"status": "error", "repo_id": repo_id, "error": str(e)}
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json_str = json.dumps(error_result)
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print(f"❌ get_current_tags error returning: {json_str}")
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return json_str
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@mcp.tool()
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def add_new_tag(repo_id: str, new_tag: str) -> str:
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"""Add a new tag to a HuggingFace model repository via PR"""
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print(f"🔧 add_new_tag called with repo_id: {repo_id}, new_tag: {new_tag}")
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if not hf_api:
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error_result = {"error": "HF token not configured"}
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json_str = json.dumps(error_result)
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print(f"❌ No HF API token - returning: {json_str}")
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return json_str
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try:
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# Get current model info and tags
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print(f"📡 Fetching current model info for: {repo_id}")
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info = model_info(repo_id=repo_id, token=HF_TOKEN)
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current_tags = info.tags if info.tags else []
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print(f"🏷️ Current tags: {current_tags}")
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# Check if tag already exists
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if new_tag in current_tags:
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print(f"⚠️ Tag '{new_tag}' already exists in {current_tags}")
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result = {
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"status": "already_exists",
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"repo_id": repo_id,
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"tag": new_tag,
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"message": f"Tag '{new_tag}' already exists",
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}
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json_str = json.dumps(result)
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print(f"🏷️ add_new_tag (already exists) returning: {json_str}")
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return json_str
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# Add the new tag to existing tags
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updated_tags = current_tags + [new_tag]
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print(f"🆕 Will update tags from {current_tags} to {updated_tags}")
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# Create model card content with updated tags
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try:
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# Load existing model card
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print(f"📄 Loading existing model card...")
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card = ModelCard.load(repo_id, token=HF_TOKEN)
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if not hasattr(card, "data") or card.data is None:
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card.data = ModelCardData()
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except HfHubHTTPError:
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# Create new model card if none exists
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print(f"📄 Creating new model card (none exists)")
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card = ModelCard("")
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card.data = ModelCardData()
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# Update tags - create new ModelCardData with updated tags
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card_dict = card.data.to_dict()
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card_dict["tags"] = updated_tags
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card.data = ModelCardData(**card_dict)
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# Create a pull request with the updated model card
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pr_title = f"Add '{new_tag}' tag"
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pr_description = f"""
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## Add tag: {new_tag}
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This PR adds the `{new_tag}` tag to the model repository.
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**Changes:**
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- Added `{new_tag}` to model tags
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- Updated from {len(current_tags)} to {len(updated_tags)} tags
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**Current tags:** {", ".join(current_tags) if current_tags else "None"}
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**New tags:** {", ".join(updated_tags)}
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"""
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print(f"🚀 Creating PR with title: {pr_title}")
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# Create commit with updated model card using CommitOperationAdd
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from huggingface_hub import CommitOperationAdd
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commit_info = hf_api.create_commit(
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repo_id=repo_id,
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operations=[
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CommitOperationAdd(
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path_in_repo="README.md", path_or_fileobj=str(card).encode("utf-8")
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)
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],
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commit_message=pr_title,
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commit_description=pr_description,
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token=HF_TOKEN,
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create_pr=True,
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)
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# Extract PR URL from commit info
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pr_url_attr = commit_info.pr_url
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pr_url = pr_url_attr if hasattr(commit_info, "pr_url") else str(commit_info)
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print(f"✅ PR created successfully! URL: {pr_url}")
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result = {
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"status": "success",
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"repo_id": repo_id,
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"tag": new_tag,
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"pr_url": pr_url,
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"previous_tags": current_tags,
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"new_tags": updated_tags,
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"message": f"Created PR to add tag '{new_tag}'",
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| 160 |
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}
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| 161 |
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json_str = json.dumps(result)
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| 162 |
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print(f"✅ add_new_tag success returning: {json_str}")
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| 163 |
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return json_str
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| 164 |
+
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| 165 |
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except Exception as e:
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| 166 |
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print(f"❌ Error in add_new_tag: {str(e)}")
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| 167 |
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print(f"❌ Error type: {type(e)}")
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| 168 |
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import traceback
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| 169 |
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| 170 |
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print(f"❌ Traceback: {traceback.format_exc()}")
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| 171 |
+
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| 172 |
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error_result = {
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| 173 |
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"status": "error",
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| 174 |
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"repo_id": repo_id,
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| 175 |
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"tag": new_tag,
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| 176 |
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"error": str(e),
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| 177 |
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}
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| 178 |
+
json_str = json.dumps(error_result)
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| 179 |
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print(f"❌ add_new_tag error returning: {json_str}")
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| 180 |
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return json_str
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| 181 |
+
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| 182 |
+
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| 183 |
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if __name__ == "__main__":
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mcp.run()
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requirements.txt
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# This file was autogenerated by uv via the following command:
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| 2 |
+
# uv export --format requirements-txt --no-hashes
|
| 3 |
+
aiofiles==24.1.0
|
| 4 |
+
aiohappyeyeballs==2.6.1
|
| 5 |
+
aiohttp==3.12.2
|
| 6 |
+
aiosignal==1.3.2
|
| 7 |
+
annotated-types==0.7.0
|
| 8 |
+
anyio==4.9.0
|
| 9 |
+
attrs==25.3.0
|
| 10 |
+
audioop-lts==0.2.1 ; python_full_version >= '3.13'
|
| 11 |
+
certifi==2025.4.26
|
| 12 |
+
charset-normalizer==3.4.2
|
| 13 |
+
click==8.2.1
|
| 14 |
+
colorama==0.4.6 ; sys_platform == 'win32' or platform_system == 'Windows'
|
| 15 |
+
exceptiongroup==1.3.0
|
| 16 |
+
fastapi==0.115.12
|
| 17 |
+
fastmcp==2.5.1
|
| 18 |
+
ffmpy==0.5.0
|
| 19 |
+
filelock==3.18.0
|
| 20 |
+
frozenlist==1.6.0
|
| 21 |
+
fsspec==2025.5.1
|
| 22 |
+
gradio==5.31.0
|
| 23 |
+
gradio-client==1.10.1
|
| 24 |
+
groovy==0.1.2
|
| 25 |
+
h11==0.16.0
|
| 26 |
+
hf-xet==1.1.2 ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'
|
| 27 |
+
httpcore==1.0.9
|
| 28 |
+
httptools==0.6.4
|
| 29 |
+
httpx==0.28.1
|
| 30 |
+
httpx-sse==0.4.0
|
| 31 |
+
huggingface-hub==0.32.2
|
| 32 |
+
idna==3.10
|
| 33 |
+
jinja2==3.1.6
|
| 34 |
+
markdown-it-py==3.0.0
|
| 35 |
+
markupsafe==3.0.2
|
| 36 |
+
mcp==1.9.1
|
| 37 |
+
mdurl==0.1.2
|
| 38 |
+
multidict==6.4.4
|
| 39 |
+
numpy==2.2.6
|
| 40 |
+
openapi-pydantic==0.5.1
|
| 41 |
+
orjson==3.10.18
|
| 42 |
+
packaging==25.0
|
| 43 |
+
pandas==2.2.3
|
| 44 |
+
pillow==11.2.1
|
| 45 |
+
propcache==0.3.1
|
| 46 |
+
pydantic==2.11.5
|
| 47 |
+
pydantic-core==2.33.2
|
| 48 |
+
pydantic-settings==2.9.1
|
| 49 |
+
pydub==0.25.1
|
| 50 |
+
pygments==2.19.1
|
| 51 |
+
python-dateutil==2.9.0.post0
|
| 52 |
+
python-dotenv==1.1.0
|
| 53 |
+
python-multipart==0.0.20
|
| 54 |
+
pytz==2025.2
|
| 55 |
+
pyyaml==6.0.2
|
| 56 |
+
requests==2.32.3
|
| 57 |
+
rich==14.0.0
|
| 58 |
+
ruff==0.11.11 ; sys_platform != 'emscripten'
|
| 59 |
+
safehttpx==0.1.6
|
| 60 |
+
semantic-version==2.10.0
|
| 61 |
+
shellingham==1.5.4
|
| 62 |
+
six==1.17.0
|
| 63 |
+
sniffio==1.3.1
|
| 64 |
+
sse-starlette==2.3.5
|
| 65 |
+
starlette==0.46.2
|
| 66 |
+
tomlkit==0.13.2
|
| 67 |
+
tqdm==4.67.1
|
| 68 |
+
typer==0.16.0
|
| 69 |
+
typing-extensions==4.13.2
|
| 70 |
+
typing-inspection==0.4.1
|
| 71 |
+
tzdata==2025.2
|
| 72 |
+
urllib3==2.4.0
|
| 73 |
+
uvicorn==0.34.2
|
| 74 |
+
uvloop==0.21.0 ; platform_python_implementation != 'PyPy' and sys_platform != 'cygwin' and sys_platform != 'win32'
|
| 75 |
+
watchfiles==1.0.5
|
| 76 |
+
websockets==15.0.1
|
| 77 |
+
yarl==1.20.0
|