Removed LLM call

app.py

@@ -1,5 +1,5 @@
 """
-Data Analyst Duo MCP without OpenAI Integration
+app.py — Data Analyst Duo MCP (no OpenAI) Gradio Space
 """
 
 import os
@@ -7,11 +7,9 @@ import json
 import uuid
 import logging
 import datetime
-from io import StringIO
 
 import pandas as pd
 import numpy as np
-import requests
 import gradio as gr
 
 # ——— Logging setup —————————————————————————————————————
@@ -156,7 +154,7 @@ class InterpretAgent(MCPAgent):
         # rule-based tools
         self.register_tool(MCPTool("interpret_statistics", "", self._int_stats))
         self.register_tool(MCPTool("interpret_correlation", "", self._int_corr))
-        # LLM stubs
+        # stubbed LLM tools
         self.register_tool(MCPTool("llm_interpret", "LLM stub", self._llm_interpret))
         self.register_tool(MCPTool("llm_report", "LLM stub", self._llm_report))
 
@@ -173,11 +171,9 @@ class InterpretAgent(MCPAgent):
         return {"status": "success", "insights": ["Correlation computed"], "summary": "Rule-based corr"}
 
     def _llm_interpret(self, params):
-        # stubbed out; no OpenAI
         return {"status": "skipped", "insights": [], "summary": "LLM removed"}
 
     def _llm_report(self, params):
-        # stubbed out; no OpenAI
         return {"status": "skipped", "report_md": ""}
 
     def handle_message(self, m):
@@ -196,7 +192,7 @@ class InterpretAgent(MCPAgent):
             llm_res = self._llm_report({})
             self.send_message(m.sender, "report_result", llm_res)
 
-# ——— Orchestration (unchanged) —————————————————————————————
+# ——— Orchestration —————————————————————————————————————
 class DataAnalystDuo:
     def __init__(self):
         self.C = ComputeAgent()
@@ -205,12 +201,39 @@ class DataAnalystDuo:
         self.I.connect(self.C)
 
     def run(self, url):
+        # 1) load data
         self.I.send_message("ComputeAgent", "request_data_load", {"url": url})
         self.C.process(); self.I.process()
+        # 2) stats
         self.I.send_message("ComputeAgent", "request_statistics", {})
         self.C.process(); self.I.process()
+        # 3) correlation
         self.I.send_message("ComputeAgent", "request_correlation", {})
         self.C.process(); self.I.process()
+        # 4) report
         self.C.send_message("InterpretAgent", "request_report", {"report_title": "Analysis Report"})
         self.I.process(); self.C.process()
-        return self.C.get_history(), self.I.get_history()
+        return {
+            "compute_history": self.C.get_history(),
+            "interpret_history": self.I.get_history()
+        }
+
+# ——— Gradio app entrypoint —————————————————————————————————
+def run_analysis(url: str):
+    duo = DataAnalystDuo()
+    return duo.run(url)
+
+demo = gr.Interface(
+    fn=run_analysis,
+    inputs=gr.Textbox(label="CSV URL", placeholder="https://..."),
+    outputs=[
+        gr.JSON(label="Compute & Data-Load History"),
+        gr.JSON(label="Interpret & Report History")
+    ],
+    title="Data Analyst Duo",
+    description="Load a CSV URL and see compute + interpretation steps"
+)
+
+if __name__ == "__main__":
+    port = int(os.environ.get("PORT", 7860))
+    demo.launch(server_name="0.0.0.0", port=port)