build source code as package

app.py

@@ -8,8 +8,8 @@ It imports and launches the main Gradio application.
 # import os
 # import sys
 
-# Add src directory to path for imports
-# sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src'))
+# Add src directory to path for imports (needed for HF Spaces)
+# sys.path.insert(0, os.path.join(os.path.dirname(__file__), 'src'))
 
 # from src.hf_eda_mcp.server import create_gradio_app
 from hf_eda_mcp.server import create_gradio_app

pyproject.toml

@@ -21,9 +21,14 @@ license = {text = "Apache-2.0"}
 hf-cli = [
     "huggingface-hub[cli]>=1.1.4",
 ]
+
 [build-system]
-requires = ["pdm-backend"]
-build-backend = "pdm.backend"
+requires = ["setuptools>=61.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["hf_eda_mcp"]
+package-dir = {"" = "src"}
 
 
 [tool.pdm.scripts]

src/hf_eda_mcp/__init__.py

@@ -5,7 +5,7 @@ A Model Context Protocol (MCP) server that provides tools for
 Exploratory Data Analysis (EDA) of datasets hosted on HuggingFace.
 """
 
-from .server import create_gradio_app, launch_server
+from hf_eda_mcp.server import create_gradio_app, launch_server
 
 __version__ = "0.1.0"
 __all__ = ["create_gradio_app", "launch_server"]

src/hf_eda_mcp/__main__.py

@@ -7,8 +7,8 @@ python -m hf_eda_mcp
 
 import argparse
 import sys
-from .config import ServerConfig
-from .server import launch_server
+from hf_eda_mcp.config import ServerConfig
+from hf_eda_mcp.server import launch_server
 
 
 def main():

src/hf_eda_mcp/integrations/hf_client.py

@@ -14,7 +14,6 @@ from requests.exceptions import RequestException, ConnectionError, Timeout
 from hf_eda_mcp.error_handling import (
     retry_with_backoff,
     RetryConfig,
-    format_error_response,
     log_error_with_context,
     get_dataset_suggestions
 )

src/hf_eda_mcp/tools/__init__.py

@@ -4,13 +4,13 @@ EDA tools module for HuggingFace datasets.
 This package contains individual EDA functions that will be exposed as MCP tools.
 """
 
-from .metadata import get_dataset_metadata
-from .sampling import (
+from hf_eda_mcp.tools.metadata import get_dataset_metadata
+from hf_eda_mcp.tools.sampling import (
     get_dataset_sample,
     get_dataset_sample_with_indices,
     get_available_splits,
 )
-from .analysis import analyze_dataset_features
+from hf_eda_mcp.tools.analysis import analyze_dataset_features
 
 __all__ = [
     # Metadata tools