adding files

app.py

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+import streamlit as st
+from langchain_openai import ChatOpenAI
+from tools import sentiment_analysis_util
+import pandas as pd
+from dotenv import load_dotenv
+import os
+from datetime import datetime
+import json
+from tavily import TavilyClient
+
+st.set_page_config(page_title="Personalized Success Recipe Generator", layout="wide")
+st.image('el_pic.png')
+load_dotenv()
+OPENAI_API_KEY = os.environ["OPENAI_API_KEY"]
+TAVILY_API_KEY = os.environ["TAVILY_API_KEY"]
+
+# Initialize session state
+if "user_profile" not in st.session_state:
+    st.session_state["user_profile"] = {}
+if "company_info" not in st.session_state:
+    st.session_state["company_info"] = {}
+if "success_recipe" not in st.session_state:
+    st.session_state["success_recipe"] = ""
+if "messages" not in st.session_state:
+    st.session_state["messages"] = [{"role": "system", "content": "I'm here to help you with your personalized success strategy! Ask me anything about your goals, career, or the success recipe I've created for you."}]
+
+# Left Sidebar - User Inputs
+with st.sidebar:
+    st.title("📝 Your Profile")
+    
+    name = st.text_input("Full Name", placeholder="Enter your full name")
+    gender = st.selectbox("Gender", ["Male", "Female", "Non-binary", "Prefer not to say"])
+    career_stage = st.selectbox("Career Stage", ["Young Adult (18-25)", "Mid-Career (26-45)", "Older/Retiree (45+)"])
+    job_position = st.text_input("Job Position", placeholder="e.g., Software Engineer, Marketing Manager")
+    country_origin = st.text_input("Country of Origin", placeholder="e.g., United States, Japan, Germany")
+    company = st.text_input("Company Name", placeholder="e.g., Google, Microsoft, Startup Inc.")
+    
+    # Generate button
+    generate_button = st.button("🚀 Generate Success Recipe", type="primary", disabled=not (name and company and job_position and country_origin))
+    
+    if generate_button:
+        # Store user profile when generate button is pressed
+        st.session_state["user_profile"] = {
+            "name": name,
+            "gender": gender,
+            "career_stage": career_stage,
+            "job_position": job_position,
+            "country_origin": country_origin,
+            "company": company
+        }
+        # Reset success recipe to trigger regeneration
+        st.session_state["success_recipe"] = ""
+        st.session_state["company_info"] = {}
+        st.rerun()
+
+# Main Window
+st.title("🎯 Personalized Success Recipe Generator")
+
+# Auto-search company information when user profile exists and company info is needed
+if st.session_state.get("user_profile") and not st.session_state.get("company_info"):
+    company = st.session_state["user_profile"]["company"]
+    with st.spinner(f"Searching for information about {company}..."):
+        try:
+            # Initialize Tavily client
+            tavily_client = TavilyClient(api_key=TAVILY_API_KEY)
+            
+            # Search for company information
+            search_query = f"Latest news and information about {company} company"
+            response = tavily_client.search(query=search_query, search_depth="advanced", max_results=10)
+            
+            # Extract and process company information
+            company_articles = []
+            for result in response.get('results', []):
+                article = {
+                    'title': result.get('title', ''),
+                    'content': result.get('content', ''),
+                    'url': result.get('url', ''),
+                    'published_date': result.get('published_date', ''),
+                    'score': result.get('score', 0)
+                }
+                company_articles.append(article)
+            
+            # Store company information
+            st.session_state["company_info"] = {
+                "company_name": company,
+                "articles": company_articles,
+                "search_date": datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+            }
+            
+            st.success(f"Found {len(company_articles)} articles about {company}!")
+            
+            # Analyze company culture and success
+            with st.spinner("Analyzing company culture and success metrics..."):
+                try:
+                    # Prepare company analysis prompt
+                    company_analysis_prompt = f"""
+                    Analyze the following company information and provide insights about:
+                    
+                    1. **Company Success Level**: Is this company successful, struggling, or growing? What indicators show this?
+                    2. **Company Culture Type**: Is this an entrepreneurial/startup culture, mission-driven organization, or bureaucratic/corporate environment?
+                    3. **Leadership Structure**: What type of leadership and decision-making structure does this company have?
+                    4. **Position Analysis**: For someone in the role of {st.session_state["user_profile"]["job_position"]}, what level of autonomy and influence would they typically have?
+                    5. **Growth Opportunities**: What opportunities exist for career advancement and skill development?
+                    6. **Challenges**: What challenges might someone face in this company and role?
+                    
+                    Company Articles:
+                    {json.dumps(company_articles, indent=2)}
+                    
+                    Provide a comprehensive analysis that will help create a personalized success strategy.
+                    """
+                    
+                    # Initialize ChatOpenAI for company analysis
+                    analysis_client = ChatOpenAI(
+                        model="gpt-4o",
+                        temperature=0.3,
+                        api_key=OPENAI_API_KEY
+                    )
+                    
+                    # Generate company analysis
+                    analysis_messages = [
+                        {"role": "system", "content": "You are a business analyst and organizational culture expert who analyzes companies to provide insights about their success, culture, and career opportunities."},
+                        {"role": "user", "content": company_analysis_prompt}
+                    ]
+                    
+                    analysis_response = analysis_client.invoke(analysis_messages)
+                    company_analysis = analysis_response.content
+                    
+                    # Store company analysis
+                    st.session_state["company_info"]["analysis"] = company_analysis
+                    
+                    st.info("Company analysis completed!")
+                    
+                except Exception as e:
+                    st.error(f"Error analyzing company information: {str(e)}")
+                    st.session_state["company_info"]["analysis"] = "Company analysis unavailable due to error."
+            
+        except Exception as e:
+            st.error(f"Error searching for company information: {str(e)}")
+
+# Auto-generate and save profile summary
+if st.session_state.get("user_profile") and st.session_state.get("company_info"):
+    profile = st.session_state["user_profile"]
+    company_info = st.session_state["company_info"]
+    
+    # Generate markdown content
+    markdown_content = f"""# Personal Success Profile
+
+## Personal Information
+- **Name:** {profile['name']}
+- **Gender:** {profile['gender']}
+- **Career Stage:** {profile['career_stage']}
+- **Job Position:** {profile['job_position']}
+- **Country of Origin:** {profile['country_origin']}
+
+## Company Information
+- **Company:** {company_info['company_name']}
+- **Research Date:** {company_info['search_date']}
+
+### Company Analysis
+{company_info.get('analysis', 'Company analysis not available')}
+
+### Recent Company News and Insights
+"""
+    
+    for i, article in enumerate(company_info['articles'][:10], 1):
+        markdown_content += f"""
+#### Article {i}: {article['title']}
+- **Content:** {article['content'][:300]}...
+- **URL:** {article['url']}
+- **Published:** {article['published_date']}
+- **Relevance Score:** {article['score']:.2f}
+
+---
+"""
+    
+    # Auto-save profile summary
+    profile_filename = f"profile_{profile['name'].replace(' ', '_')}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.md"
+    with open(profile_filename, 'w', encoding='utf-8') as f:
+        f.write(markdown_content)
+    
+    st.info(f"Profile summary automatically saved as {profile_filename}")
+
+# Auto-generate success recipe
+if st.session_state.get("user_profile") and st.session_state.get("company_info") and not st.session_state.get("success_recipe"):
+    with st.spinner("Generating your personalized success recipe..."):
+        try:
+            # Read the Big Goals book
+            with open('big_goals_step_by_step.md', 'r', encoding='utf-8') as f:
+                big_goals_content = f.read()
+            
+            # Prepare context for RAG
+            profile = st.session_state["user_profile"]
+            company_info = st.session_state["company_info"]
+            
+            # Initialize ChatOpenAI
+            client = ChatOpenAI(
+                model="gpt-4o",
+                temperature=0.7,
+                api_key=OPENAI_API_KEY
+            )
+            
+            # Create prompt for success recipe generation
+            prompt = f"""
+            Based on the user profile, company information, company analysis, and the Big Goals book content provided, create a detailed, actionable success recipe for {profile['name']}.
+            
+            User Profile:
+            - Name: {profile['name']}
+            - Gender: {profile['gender']}
+            - Career Stage: {profile['career_stage']}
+            - Job Position: {profile['job_position']}
+            - Country of Origin: {profile['country_origin']}
+            - Company: {profile['company']}
+            
+            Company Analysis:
+            {company_info.get('analysis', 'Company analysis not available')}
+            
+            The recipe should be highly specific and practical, focusing on HOW to succeed, not just what to do. Include:
+            
+            1. **Cultural Integration**: How to leverage their {profile['country_origin']} heritage as a professional advantage
+            2. **Career Stage Strategy**: Specific tactics for their {profile['career_stage']} phase
+            3. **Job-Specific Actions**: Concrete steps for their role as {profile['job_position']}
+            4. **Company Alignment**: How to succeed within their specific company culture (use the company analysis insights)
+            5. **Position Autonomy**: Leverage their level of autonomy and influence in their role
+            6. **Big Goals Framework**: Direct application of the book's principles with specific examples
+            
+            Format as a comprehensive success recipe with:
+            - **Cultural Reflection**: How their background shapes their approach to work
+            - **Vision Statement**: A clear, inspiring vision that incorporates their values
+            - **Action Steps**: Specific, measurable actions they can take immediately
+            - **Big Goals References**: Direct quotes and chapter references from the book
+            - **Cultural Considerations**: How to navigate workplace dynamics with their background
+            - **Company-Specific Strategies**: Tactics tailored to their organization's culture and success level
+            - **Position-Specific Tactics**: Actions based on their role's autonomy and influence level
+            - **Timeline**: When to implement each step
+            - **Success Metrics**: How to measure progress
+            
+            Make it deeply personal, culturally aware, and immediately actionable. Focus on the "how" and "why" behind each recommendation. Use the company analysis to inform your recommendations about the work environment and opportunities.
+            """
+            
+            # Generate the success recipe
+            messages = [
+                {"role": "system", "content": "You are an expert career coach and success strategist who creates highly detailed, actionable success recipes. Focus on specific HOW-TO steps, cultural integration strategies, and practical implementation guidance. Always include concrete examples, timelines, and measurable outcomes. Reference specific chapters and quotes from the Big Goals book to support recommendations."},
+                {"role": "user", "content": prompt}
+            ]
+            
+            response = client.invoke(messages)
+            success_recipe = response.content
+            
+            # Store the success recipe
+            st.session_state["success_recipe"] = success_recipe
+            
+            # Auto-save the success recipe
+            recipe_filename = f"success_recipe_{profile['name'].replace(' ', '_')}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.md"
+            with open(recipe_filename, 'w', encoding='utf-8') as f:
+                f.write(f"# Success Recipe for {profile['name']}\n\n{success_recipe}")
+            
+            st.success(f"Success recipe automatically saved as {recipe_filename}!")
+            
+        except Exception as e:
+            st.error(f"Error generating success recipe: {str(e)}")
+
+# Display success recipe in main window
+if st.session_state.get("success_recipe"):
+    st.subheader("🎯 Your Personalized Success Recipe")
+    st.markdown(st.session_state["success_recipe"])
+    
+    # Download button for success recipe
+    st.download_button(
+        label="📥 Download Success Recipe",
+        data=st.session_state["success_recipe"],
+        file_name=f"success_recipe_{st.session_state['user_profile']['name'].replace(' ', '_')}.md",
+        mime="text/markdown"
+    )
+
+# Chat functionality in main window
+st.subheader("💬 Chat with Your Success Coach")
+
+# Display chat messages
+for msg in st.session_state.messages:
+    st.chat_message(msg["role"]).write(msg["content"])
+
+# Chat input
+if prompt := st.chat_input("Ask me anything about your success strategy..."):
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    # Display user message in chat message container
+    with st.chat_message("user"):
+        st.markdown(prompt)
+    
+    # Generate response using ChatOpenAI
+    with st.chat_message("assistant"):
+        client = ChatOpenAI(
+            model="gpt-4o",
+            temperature=0.7,
+            api_key=OPENAI_API_KEY
+        )
+        
+        # Create context for the chat
+        context = ""
+        if st.session_state.get("user_profile"):
+            profile = st.session_state["user_profile"]
+            context += f"User Profile: {profile['name']}, {profile['career_stage']}, {profile['job_position']} at {profile['company']}, from {profile['country_origin']}. "
+        
+        if st.session_state.get("success_recipe"):
+            context += f"Success Recipe: {st.session_state['success_recipe'][:1000]}... "
+        
+        # Create messages for chat
+        chat_messages = [
+            {"role": "system", "content": f"You are a helpful success coach. Context: {context} Answer questions about the user's success strategy, goals, and career development."},
+            {"role": "user", "content": prompt}
+        ]
+        
+        stream = client.chat.completions.create(
+            model="gpt-4o",
+            messages=chat_messages,
+            stream=True,
+        )
+        response = st.write_stream(stream)
+    
+    st.session_state.messages.append({"role": "assistant", "content": response})
+