Update app.py

app.py

@@ -20,10 +20,10 @@ def calculate_scores(work_completion, delay_reports, incident_logs):
     This is a simplified, rule-based demo version.
     """
 
-    quality_score = 100  # Start with a base score
-    timeliness_score = 100
-    safety_score = 100
-    communication_score = 100
+    quality_score = 100.0  # Initialize as float
+    timeliness_score = 100.0
+    safety_score = 100.0
+    communication_score = 100.0
 
     # --- Quality Score ---
     quality_keywords_positive = ["good", "excellent", "high quality", "efficient", "precise"]
@@ -32,16 +32,16 @@ def calculate_scores(work_completion, delay_reports, incident_logs):
         quality_score += work_completion.lower().count(keyword) * 5
     for keyword in quality_keywords_negative:
         quality_score -= work_completion.lower().count(keyword) * 10
-    quality_score = max(0, min(quality_score, 100))
+    quality_score = max(0.0, min(quality_score, 100.0))
 
     # --- Timeliness Score ---
     timeliness_keywords_positive = ["on time", "punctual", "early", "ahead of schedule"]
     timeliness_keywords_negative = ["late", "delayed", "behind schedule"]
     for keyword in timeliness_keywords_positive:
         timeliness_score += work_completion.lower().count(keyword) * 5 + delay_reports.lower().count(keyword) * 5
-    for keyword in timeliness_negative:
+    for keyword in timeliness_keywords_negative:
         timeliness_score -= delay_reports.lower().count(keyword) * 10
-    timeliness_score = max(0, min(timeliness_score, 100))
+    timeliness_score = max(0.0, min(timeliness_score, 100.0))
 
     # --- Safety Score ---
     safety_keywords_positive = ["safe", "safety protocol", "no accidents", "precaution"]
@@ -50,7 +50,7 @@ def calculate_scores(work_completion, delay_reports, incident_logs):
         safety_score += work_completion.lower().count(keyword) * 5 + incident_logs.lower().count(keyword) * 5
     for keyword in safety_keywords_negative:
         safety_score -= incident_logs.lower().count(keyword) * 15
-    safety_score = max(0, min(safety_score, 100))
+    safety_score = max(0.0, min(safety_score, 100.0))
 
     # --- Communication Score ---
     communication_keywords_positive = ["clear communication", "responsive", "proactive", "helpful"]
@@ -65,11 +65,11 @@ def calculate_scores(work_completion, delay_reports, incident_logs):
     vs = analyzer.polarity_scores(work_completion + " " + delay_reports + " " + incident_logs)
     sentiment_score = vs['compound']
     communication_score += sentiment_score * 10  # Adjust weight as needed
-    communication_score = max(0, min(communication_score, 100))
+    communication_score = max(0.0, min(communication_score, 100.0))
 
     # Calculate Final Score (as per Salesforce formula)
     final_score = (0.4 * quality_score + 0.3 * timeliness_score + 0.15 * safety_score + 0.15 * communication_score)
-    final_score = max(0, min(final_score, 100))
+    final_score = max(0.0, min(final_score, 100.0))
 
     return {
         "Quality Score": round(quality_score, 2),
@@ -91,4 +91,4 @@ if __name__ == "__main__":
         title="Vendor Performance Scoring",
         description="Enter vendor logs to calculate performance scores."
     )
-    iface.launch()
+    iface.launch()