test

mcp_server.py

@@ -7,6 +7,9 @@ import plotly.express as px
 from data_loader import AgriculturalDataLoader
 import warnings
 warnings.filterwarnings('ignore')
+from mcp.server.fastmcp import FastMCP
+
+mcp = FastMCP("huggingface_spaces_image_display")
 
 class WeedPressureAnalyzer:
     """Analyze weed pressure and recommend plots for sensitive crops."""
@@ -89,6 +92,7 @@ class WeedPressureAnalyzer:
 # Initialize analyzer
 analyzer = WeedPressureAnalyzer()
 
+@mcp.tool()
 def analyze_herbicide_trends(years_range, plot_filter):
     """Analyze herbicide usage trends over time."""
     try:
@@ -131,6 +135,7 @@ def analyze_herbicide_trends(years_range, plot_filter):
     except Exception as e:
         return None, f"Erreur: {str(e)}"
 
+@mcp.tool()
 def predict_future_weed_pressure():
     """Predict weed pressure for the next 3 years."""
     try:
@@ -165,6 +170,7 @@ def predict_future_weed_pressure():
     except Exception as e:
         return None, f"Erreur: {str(e)}"
 
+@mcp.tool()
 def recommend_sensitive_crop_plots():
     """Recommend plots for sensitive crops."""
     try:
@@ -204,6 +210,7 @@ def recommend_sensitive_crop_plots():
     except Exception as e:
         return None, f"Erreur: {str(e)}"
 
+@mcp.tool()
 def generate_technical_alternatives(herbicide_family):
     """Generate technical alternatives."""
     summary = f"""
@@ -293,4 +300,4 @@ def create_mcp_interface():
 
 if __name__ == "__main__":
     demo = create_mcp_interface()
-    demo.launch(server_name="0.0.0.0", server_port=7860, share=True)
+    demo.launch(mcp_server=True)