Update app.py

app.py

@@ -5,6 +5,9 @@ from datetime import datetime
 import plotly.graph_objects as go
 import re
 from urllib.parse import urlparse
+import requests
+import json
+import os
 
 class StartupValuationCalculator:
     def __init__(self):
@@ -79,6 +82,111 @@ class StartupValuationCalculator:
             }
         }
     
+    def call_llm_api(self, prompt, api_key):
+        """LLM API를 호출하여 고급 분석 수행"""
+        if not api_key:
+            return None
+            
+        url = "https://api.fireworks.ai/inference/v1/chat/completions"
+        
+        payload = {
+            "model": "accounts/fireworks/models/qwen3-235b-a22b-instruct-2507",
+            "max_tokens": 4096,
+            "top_p": 1,
+            "top_k": 40,
+            "presence_penalty": 0,
+            "frequency_penalty": 0,
+            "temperature": 0.6,
+            "messages": [
+                {
+                    "role": "system",
+                    "content": "You are an expert startup valuation analyst and strategic advisor with deep knowledge of venture capital, financial analysis, and business strategy."
+                },
+                {
+                    "role": "user",
+                    "content": prompt
+                }
+            ]
+        }
+        
+        headers = {
+            "Accept": "application/json",
+            "Content-Type": "application/json",
+            "Authorization": f"Bearer {api_key}"
+        }
+        
+        try:
+            response = requests.post(url, headers=headers, data=json.dumps(payload))
+            if response.status_code == 200:
+                return response.json()['choices'][0]['message']['content']
+            else:
+                return None
+        except:
+            return None
+    
+    def generate_strategic_report(self, data, results, language, api_key):
+        """LLM을 사용하여 전략적 보고서 생성"""
+        
+        if language == "ko":
+            prompt = f"""
+다음 스타트업의 가치평가 결과를 분석하고 전략적 조언을 포함한 상세 보고서를 작성해주세요:
+
+회사 정보:
+- 회사명: {data['company_name']}
+- 설립년도: {data['founded_year']}
+- 산업: {data['industry']}
+- 사업 단계: {data['stage']}
+
+평가 결과:
+- 최종 기업가치: ${results['final_valuation']/1000000:.2f}M
+- 버크스 평가: ${results['berkus_valuation']/1000000:.2f}M
+- ARR: ${results['arr']/1000000:.2f}M
+- 성장률: {data['growth_rate']}%
+- LTV/CAC: {results['ltv_cac_ratio']:.1f}
+- 런웨이: {results['runway']:.1f}개월
+- 스코어카드 점수들: {results['scorecard_adjustments']}
+
+다음을 포함하여 작성해주세요:
+1. 가치평가 결과의 타당성 분석
+2. 동종업계 대비 포지셔닝
+3. 주요 강점과 개선 필요 영역
+4. 향후 6-12개월 전략적 우선순위
+5. 자금조달 전략 및 적정 조달 규모
+6. 주요 리스크와 완화 방안
+7. 핵심 KPI와 마일스톤 제안
+"""
+        else:
+            prompt = f"""
+Please analyze the following startup valuation results and provide a comprehensive strategic report:
+
+Company Information:
+- Company Name: {data['company_name']}
+- Founded: {data['founded_year']}
+- Industry: {data['industry']}
+- Stage: {data['stage']}
+
+Valuation Results:
+- Final Valuation: ${results['final_valuation']/1000000:.2f}M
+- Berkus Valuation: ${results['berkus_valuation']/1000000:.2f}M
+- ARR: ${results['arr']/1000000:.2f}M
+- Growth Rate: {data['growth_rate']}%
+- LTV/CAC: {results['ltv_cac_ratio']:.1f}
+- Runway: {results['runway']:.1f} months
+- Scorecard Scores: {results['scorecard_adjustments']}
+
+Please include:
+1. Valuation validity analysis
+2. Industry positioning
+3. Key strengths and improvement areas
+4. Strategic priorities for next 6-12 months
+5. Fundraising strategy and optimal round size
+6. Key risks and mitigation strategies
+7. Core KPIs and milestone recommendations
+"""
+        
+        llm_response = self.call_llm_api(prompt, api_key)
+        return llm_response
+    
     def calculate_berkus_score(self, berkus_data):
         """버크스 방법으로 평가 (최대 $2.5M)"""
         scores = {}
@@ -104,7 +212,7 @@ class StartupValuationCalculator:
         
         # 3. 우수한 팀 (Quality Team)
         team_score = min(100, 
-            berkus_data["team_experience"] * 20 + 
+            min(berkus_data["team_experience"], 10) * 10 +  # 최대 10년까지만 가산
             berkus_data["domain_expertise"] * 15 +
             berkus_data["startup_experience"] * 15
         )
@@ -133,7 +241,7 @@ class StartupValuationCalculator:
         adjustments = {}
         
         # 각 요소별 조정 비율 계산 (0.5 ~ 1.5)
-        adjustments["team"] = scorecard_data["team_strength"] / 100  # 0-100 -> 0-1
+        adjustments["team"] = scorecard_data["team_strength"] / 100
         adjustments["market_size"] = scorecard_data["market_opportunity"] / 100
         adjustments["product"] = scorecard_data["product_stage"] / 100
         adjustments["competition"] = scorecard_data["competitive_advantage"] / 100
@@ -332,7 +440,7 @@ def create_ui():
     calculator = StartupValuationCalculator()
     
     def process_valuation(
-        language,
+        api_key, language,
         # 기본 정보
         company_name, founded_year, industry, stage, revenue_type,
         # 매출 정보
@@ -351,7 +459,9 @@ def create_ui():
         # 데이터 준비
         data = {
             "company_name": company_name,
+            "founded_year": founded_year,
             "industry": industry,
+            "stage": stage,
             "revenue_type": revenue_type,
             "monthly_revenue": monthly_revenue * 1000,
             "growth_rate": growth_rate,
@@ -465,6 +575,25 @@ def create_ui():
 ## 🏃 {t['financial_health']}
 - **Cash Runway**: {results['runway']:.1f} months
 - **Monthly Burn Rate**: ${burn_rate}K
+"""
+        
+        # LLM 기반 전략적 분석 추가
+        strategic_report = None
+        if api_key and api_key.strip():
+            strategic_report = calculator.generate_strategic_report(data, results, language, api_key)
+            
+            if strategic_report:
+                if language == "ko":
+                    valuation_text += f"""
+## 🤖 AI 전략적 분석
+
+{strategic_report}
+"""
+                else:
+                    valuation_text += f"""
+## 🤖 AI Strategic Analysis
+
+{strategic_report}
 """
         
         # 차트 생성
@@ -497,23 +626,29 @@ def create_ui():
     
     # Gradio UI
     with gr.Blocks(title="Startup Valuation Calculator", theme=gr.themes.Soft()) as demo:
-        # 언어 선택
-        language = gr.Radio(
-            choices=[("한국어", "ko"), ("English", "en")],
-            value="ko",
-            label="Language / 언어",
-            type="value"
-        )
-        
         gr.Markdown("""
-        # 🦄 스타트업 가치평가 자동화 시스템 v3.0
-        ### 버크스 방법과 스코어카드 방법을 포함한 종합 평가
+        # 🦄 스타트업 가치평가 자동화 시스템 v3.5
+        ### AI 기반 전략적 분석을 포함한 종합 평가 시스템
         """)
         
+        # API 키와 언어 선택
+        with gr.Row():
+            api_key = gr.Textbox(
+                label="Fireworks API Key (선택사항 - AI 분석용)",
+                placeholder="AI 전략적 분석을 원하시면 API 키를 입력하세요",
+                type="password"
+            )
+            language = gr.Radio(
+                choices=[("한국어", "ko"), ("English", "en")],
+                value="ko",
+                label="Language / 언어",
+                type="value"
+            )
+        
         with gr.Tab("기본 정보 / Basic Info"):
             with gr.Row():
                 company_name = gr.Textbox(label="회사명 / Company Name", value="우리 스타트업")
-                founded_year = gr.Slider(2015, 2024, value=2022, step=1, label="설립연도 / Founded Year")
+                founded_year = gr.Slider(2000, 2025, value=2022, step=1, label="설립연도 / Founded Year")
             
             with gr.Row():
                 industry = gr.Dropdown(
@@ -550,7 +685,7 @@ def create_ui():
             
             gr.Markdown("### 👥 팀 역량 / Team Quality")
             with gr.Row():
-                team_experience = gr.Slider(0, 5, value=3, step=1,
+                team_experience = gr.Slider(0, 30, value=5, step=1,
                                           label="팀 평균 경력(년) / Average Experience (years)")
                 domain_expertise = gr.Slider(0, 5, value=3, step=1,
                                            label="도메인 전문성 / Domain Expertise (1-5)")
@@ -573,6 +708,7 @@ def create_ui():
         
         with gr.Tab("스코어카드 평가 / Scorecard"):
             gr.Markdown("### 각 요소를 동일 스테이지 평균 대비 평가 (50 = 평균)")
+            gr.Markdown("### Rate each factor compared to same-stage average (50 = average)")
             
             team_strength = gr.Slider(0, 100, value=60, step=5,
                                     label="팀 역량 / Team Strength")
@@ -636,7 +772,7 @@ def create_ui():
         evaluate_btn.click(
             process_valuation,
             inputs=[
-                language,
+                api_key, language,
                 company_name, founded_year, industry, stage, revenue_type,
                 monthly_revenue, growth_rate, arpu, gross_margin, monthly_churn,
                 retention_rate, new_customers, monthly_marketing, monthly_sales,
@@ -655,13 +791,13 @@ def create_ui():
         with gr.Row():
             gr.Button("초기 스타트업 / Early Startup").click(
                 lambda: [
-                    "ko", "테크 스타트업", 2023, "AI/딥테크", "MVP/베타", "구독형 (SaaS)",
+                    "", "ko", "테크 스타트업", 2023, "AI/딥테크", "MVP/베타", "구독형 (SaaS)",
                     0, 0, 0, 0, 0, 0, 0, 0, 0, 500, 50,
-                    80, 7, "베타 버전", 2, 4, 1, 1, 2, 3, False, 0, 70,
+                    80, 7, "베타 버전", 3, 4, 1, 1, 2, 3, False, 0, 70,
                     70, 65, 55, 60, 45, 50, 50
                 ],
                 outputs=[
-                    language, company_name, founded_year, industry, stage, revenue_type,
+                    api_key, language, company_name, founded_year, industry, stage, revenue_type,
                     monthly_revenue, growth_rate, arpu, gross_margin, monthly_churn,
                     retention_rate, new_customers, monthly_marketing, monthly_sales,
                     cash_balance, burn_rate,
@@ -675,13 +811,13 @@ def create_ui():
             
             gr.Button("성장 단계 / Growth Stage").click(
                 lambda: [
-                    "en", "SaaS Corp", 2021, "SaaS - B2B", "성장 단계", "구독형 (SaaS)",
+                    "", "en", "SaaS Corp", 2021, "SaaS - B2B", "성장 단계", "구독형 (SaaS)",
                     100, 150, 200, 75, 2, 90, 40, 30, 20, 2000, 120,
-                    90, 9, "출시 버전", 5, 5, 3, 5, 5, 20, True, 8, 95,
+                    90, 9, "출시 버전", 8, 5, 3, 5, 5, 20, True, 8, 95,
                     85, 80, 75, 70, 65, 75, 60
                 ],
                 outputs=[
-                    language, company_name, founded_year, industry, stage, revenue_type,
+                    api_key, language, company_name, founded_year, industry, stage, revenue_type,
                     monthly_revenue, growth_rate, arpu, gross_margin, monthly_churn,
                     retention_rate, new_customers, monthly_marketing, monthly_sales,
                     cash_balance, burn_rate,