Update src/main.py

src/main.py

@@ -143,21 +143,8 @@ class AICoScientist:
             if "hypothesis" in h:
                 h["statement"] = h["hypothesis"]
 
-        # Loosen validation: accept all generated areas of interest
-        valid_hypotheses = []
+        # No validation or filtering: accept all generated areas of interest
         for h in hypotheses:
-            is_valid, issues = validate_hypothesis(h["statement"])
-            h["validation"] = {
-                "is_valid": is_valid,
-                "issues": issues
-            }
-            # Accept all, regardless of validation
-            valid_hypotheses.append(h)
-            if not is_valid:
-                self.logger.warning(f"Invalid area of interest: {h['statement']}\nIssues: {', '.join(issues)}")
-
-        # For each area of interest, generate multiple research questions (simple template for now)
-        for h in valid_hypotheses:
             area = h["statement"]
             # Simple transformation: create 2-3 research questions per area
             h["research_questions"] = [
@@ -166,10 +153,10 @@ class AICoScientist:
                 f"What are the potential implications of {area} for future research or applications?"
             ]
 
-        self.hypotheses = valid_hypotheses
-        self.logger.info(f"Generated {len(valid_hypotheses)} valid hypotheses")
+        self.hypotheses = hypotheses
+        self.logger.info(f"Generated {len(hypotheses)} areas of interest")
         
-        return valid_hypotheses
+        return hypotheses
     
     def rank_hypotheses(self) -> List[Dict[str, Any]]:
         """Rank the generated hypotheses by quality and relevance.
@@ -459,3 +446,13 @@ def main():
                 
         except Exception as e:
             logger.error(f"Error in workflow execution: {str(e)}")
+            print(f"\nError: {str(e)}")
+            return 1
+    else:
+        parser.print_help()
+    
+    return 0
+
+
+if __name__ == "__main__":
+    main()