fixed eval output

Author: PeriniM

examples/graph_examples/graph_evaluation_example.py

@@ -27,7 +27,7 @@
 # Create the TrulensEvaluator instance
 trulens_evaluator = TrulensEvaluator(openai_key)
 # Evaluate SmartScraperGraph on the list of inputs
-results_df = trulens_evaluator.evaluate(list_of_inputs, dashboard=False)
+(results_df, answer) = trulens_evaluator.evaluate(list_of_inputs, dashboard=False)
 
 # Print the results
-print(results_df)
+print(answer)

scrapegraphai/evaluators/trulens_evaluator.py

@@ -33,6 +33,8 @@ def __init__(self, key: str):
                                                   app_id="smart_scraper_evaluator",
                                                   feedbacks=[self.f_relevance,
                                                              self.f_custom_function])
+        
+        self.graph_output = []
 
     def evaluate(self, graph_params: list[tuple[str, str, dict]], dashboard: bool = True):
         """
@@ -44,14 +46,16 @@ def evaluate(self, graph_params: list[tuple[str, str, dict]], dashboard: bool =
         Returns:
             None
         """
+
         with self.tru_llm_standalone_recorder as recording:
             for params in graph_params:
                 output = SmartScraperGraph(*params).run()
                 self.tru_llm_standalone_recorder.app(params[0], output)
+                self.graph_output.append(output)
         if dashboard:
             self.tru.run_dashboard()
         else:
-            return self.tru.get_records_and_feedback(app_ids=[])[0]
+            return (self.tru.get_records_and_feedback(app_ids=[])[0], self.graph_output)
 
     def llm_standalone(self, prompt, response):
         """