Update main.py

main.py

@@ -48,6 +48,87 @@ client = genai.Client(api_key=os.getenv("Gemini"))
 model_name = "gemini-2.0-flash-thinking-exp"
 
 
+interventions_offered = {
+  "Branding & Digital Presence": [
+    "Domain & Email Registration",
+    "Website Development & Hosting",
+    "Logo",
+    "Social Media Setup & Page",
+    "Industry Memberships",
+    "Company Profile",
+    "Email Signature",
+    "Business Cards",
+    "Branded Banner",
+    "Pamphlets/Brochures",
+    "Market Linkage",
+    "Marketing Plan",
+    "Digital Marketing Support",
+    "CRM Solutions"
+  ],
+  "Financial Management & Compliance": [
+    "Management Accounts",
+    "Financial Management Templates",
+    "Record Keeping",
+    "Business Plan/Proposal",
+    "Funding Linkages",
+    "Financial Literacy Training",
+    "Tax Compliance Support",
+    "Access to Financial Software",
+    "Financial Management Mentorship",
+    "Grant Application Support",
+    "Cost Management Strategies",
+    "Financial Reporting Standards",
+    "Product Costing"
+  ],
+  "Regulatory Compliance & HR": [
+    "Insurance",
+    "CIPC and Annual Returns Registration",
+    "UIF Registration",
+    "VAT Registration",
+    "Risk Management Plan",
+    "HRM Support (i.e., Templates)",
+    "Guidance - Food Compliance (Webinar)",
+    "PAYE Compliance",
+    "COIDA Compliance",
+    "Certificate of Acceptability"
+  ],
+  "Mentorship & Strategic Support": [
+    "Marketing Mentoring",
+    "Executive Mentoring",
+    "Business Ops Plan",
+    "Strategic Plan",
+    "Business Communication (How to Pitch)",
+    "Digital Transformation"
+  ],
+  "Training & Capacity Building": [
+    "Excel Skills Training",
+    "Industry Seminars",
+    "Fireside Chat",
+    "Industry Courses/Training",
+    "AI Tools Training",
+    "PowerPoint Presentation Training"
+  ],
+  "Technology & Infrastructure": [
+    "Tools and Equipment",
+    "Data Support",
+    "Technology Application Support"
+  ],
+  "Health & Safety": [
+    "OHS Audit",
+    "Health & Safety Training"
+  ],
+  "Leadership & Innovation": [
+    "Design Thinking",
+    "Productivity Training",
+    "Leadership and Personal Development"
+  ],
+  "Customer & Market Development": [
+    "Customer Service",
+    "Technology Readiness and Systems Integration",
+    "Sales and Marketing (including Export Readiness)"
+  ]
+}
+
 class GenericEvaluator:
     def generate_prompt(self, participant_info: dict) -> str:
         prompt = f"""
@@ -60,7 +141,11 @@ Based on your assessment, provide:
 1. "AI Recommendation": either "Accept" or "Reject"
 2. "AI Score": a score out of 100 reflecting overall business quality or readiness
 3. "Justification": a brief explanation for your decision
-4. "Recommended Interventions": A description of the interventions or what help the business should get from the incubator to take them to the next level"
+4. "Recommended Interventions": The interventions you recommend the business gets from the incubator to take them to the next level. choose from these f'{interventions_offered}', only return the interventions in that same format as a list of dictionaries, eg {"intervention type": [
+    "intervention 1",
+    "intervention 2",
+    "intervention 3"
+  ],...}
 Return your output strictly as a JSON dictionary with these keys: "AI Recommendation", "AI Score", "Justification" and "Recommended Interventions".
 """
         return prompt