add sql runner tool

app.py

@@ -1,6 +1,45 @@
 import gradio as gr
 import textblob, json
 
+
+import os
+from supabase import create_client, Client
+from dotenv import load_dotenv
+
+load_dotenv()
+
+
+ # Meilleure pratique : utiliser les variables d'environnement quand possible
+url: str = os.getenv("NEXT_PUBLIC_SUPABASE_URL") 
+key: str = os.getenv("NEXT_PUBLIC_SUPABASE_PUBLISHABLE_KEY") 
+
+# Création du client
+supabase: Client = create_client(url, key)
+
+print("✅ Connexion à Supabase réussie !")
+
+def get_from_db(query:str)->str:
+    """
+    This function takes a sql query as input and returns result after excecute it in the database.
+    Args: 
+        query (str): SQL Query.
+    Returns:
+        str: A JSON string containing the result
+    """
+    # === Configuration ===
+    
+
+   
+
+    response = supabase.rpc(
+        "run_sql",
+        {"query": 'SELECT * FROM "surveyData" LIMIT 5'}
+    ).execute()
+    return json.dumps(response.data, indent=2)
+
+
+
+
 def sentiment_analysis(text:str)-> str:
     """
     This function takes a string input and returns the sentiment polarity of the text.
@@ -20,13 +59,31 @@ def sentiment_analysis(text:str)-> str:
     return json.dumps(result, indent=4)
 
 
-demo = gr.Interface(
-    fn = sentiment_analysis,
+sentiment_interface = gr.Interface(
+    fn=sentiment_analysis,
     inputs=gr.Textbox(placeholder="Enter the text to analyse"),
     outputs=gr.Textbox(),
     title="Sentiment Analysis",
-    description="MCP agent that analyse Sentiments"
+    description="Analyse le sentiment d'un texte (positive / negative / neutral)."
+)
+
+sql_excec_interface = gr.Interface(
+    fn=get_from_db,
+    inputs=gr.Textbox(placeholder="Enter Sql Query"),
+    outputs=gr.Textbox(),
+    title="Sql Runner in DB",
+    description="Return the result from DB."
+)
+
+# ==================== Combinaison en onglets (TabbedInterface) ====================
+demo = gr.TabbedInterface(
+    [sentiment_interface, sql_excec_interface],
+    ["Sentiment Analysis", "SQL RUNNER"],
+    title="MCP Agent - Multi Tools"
 )
 
+
+
+
 if __name__ == "__main__":
     demo.launch(mcp_server=True)

requirements.txt

@@ -1,3 +1,4 @@
 gradio 
 huggingface-hub 
 textblob 
+supabase