Update app.py

app.py

@@ -107,15 +107,7 @@ def get_projects_for_supervisor(supervisor_name):
         print(f"⚠️ Error fetching project: {e}")
         return ""
 
-def field_exists(sf, object_name, field_name):
-    try:
-        obj_desc = getattr(sf, object_name).describe()
-        return field_name in [field['name'] for field in obj_desc['fields']]
-    except Exception as e:
-        print(f"⚠️ Error checking field {field_name}: {e}")
-        return False
-
-# Function to generate Salesforce dashboard URL (Visualforce Page)
+# New function to generate Salesforce dashboard URL (Visualforce Page)
 def generate_salesforce_dashboard_url(supervisor_name, project_id):
     return f"https://aicoachforsitesupervisors-dev-ed--c.develop.vf.force.com/apex/DashboardPage?supervisorName={supervisor_name}&projectId={project_id}"
 
@@ -124,7 +116,7 @@ def open_dashboard(role, supervisor_name, project_id):
     dashboard_url = generate_salesforce_dashboard_url(supervisor_name, project_id)
     return f'<a href="{dashboard_url}" target="_blank" rel="noopener noreferrer" style="font-size:16px;">Open Salesforce Dashboard</a>'
 
-# Function to generate daily checklist and suggestions
+# Function to generate day-by-day tasks
 def generate_outputs(role, supervisor_name, project_id, milestones, reflection):
     if not all([role, supervisor_name, project_id, milestones, reflection]):
         return "❗ Please fill all fields.", ""
@@ -141,7 +133,7 @@ def generate_outputs(role, supervisor_name, project_id, milestones, reflection):
         with torch.no_grad():
             outputs = model.generate(
                 inputs['input_ids'],
-                max_new_tokens=150,  # Increased max tokens to capture more content
+                max_new_tokens=150,
                 no_repeat_ngram_size=2,
                 do_sample=True,
                 top_p=0.9,
@@ -161,7 +153,6 @@ def generate_outputs(role, supervisor_name, project_id, milestones, reflection):
     checklist = extract_between(result, "Checklist:\n", "Suggestions:")
     suggestions = extract_between(result, "Suggestions:\n", None)
 
-    # Fallback generation
     if not checklist.strip():
         checklist = generate_fallback_checklist(role, milestones)
     if not suggestions.strip():
@@ -169,7 +160,7 @@ def generate_outputs(role, supervisor_name, project_id, milestones, reflection):
 
     return checklist, suggestions
 
-# Fallback generation for checklist and suggestions
+# Fallback checklist and suggestions generation
 def generate_fallback_checklist(role, milestones):
     checklist_items = []
     if milestones:
@@ -189,7 +180,7 @@ def generate_fallback_suggestions(reflection):
         suggestions_items.append("- Monitor team coordination")
     return "\n".join(suggestions_items)
 
-# Function to generate a PDF report
+# Function to generate the PDF report
 def generate_pdf_report(supervisor_name, project_id, checklist, suggestions):
     file_path = f"reports/{supervisor_name}_{project_id}_report.pdf"
     buffer = BytesIO()
@@ -213,7 +204,7 @@ def generate_pdf_report(supervisor_name, project_id, checklist, suggestions):
         f.write(buffer.read())
     return file_path
 
-# Function to generate a CSV report
+# Function to generate CSV report
 def generate_csv_report(supervisor_name, project_id, checklist, suggestions):
     file_path = f"reports/{supervisor_name}_{project_id}_report.csv"
     data = {