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| import streamlit as st | |
| import requests | |
| # Function to call the LLM API | |
| def call_llm_api(prompt): | |
| api_url = "https://api.example.com/generate" | |
| headers = { | |
| "Content-Type": "application/json", | |
| "API-Key": "your_api_key_here" | |
| } | |
| response = requests.post(api_url, headers=headers, json={"prompt": prompt}) | |
| return response.json().get("result", "") | |
| # Function to perform a Google search | |
| def google_search(query): | |
| api_url = "https://api.example.com/search" | |
| headers = { | |
| "API-Key": "your_api_key_here" | |
| } | |
| params = { | |
| "q": query, | |
| "num_results": 5 | |
| } | |
| response = requests.get(api_url, headers=headers, params=params) | |
| return response.json().get("results", []) | |
| # Streamlit app layout | |
| st.title("Business Plan Generator") | |
| # User inputs | |
| business_name = st.text_input("Business Name") | |
| business_concept = st.text_area("Business Concept") | |
| goals = st.text_area("Goals") | |
| legal_structure = st.text_input("Legal Structure") | |
| mission_statement = st.text_area("Mission Statement") | |
| unique_aspects = st.text_area("Unique Aspects") | |
| industry = st.text_input("Industry") | |
| market_size = st.text_input("Market Size") | |
| target_customers = st.text_area("Target Customers") | |
| competitors = st.text_area("Competitors") | |
| strengths = st.text_area("Strengths") | |
| weaknesses = st.text_area("Weaknesses") | |
| team_members = st.text_area("Team Members (comma-separated)") | |
| products = st.text_area("Products (comma-separated)") | |
| strategy = st.text_area("Marketing Strategy") | |
| location = st.text_input("Location") | |
| facilities = st.text_area("Facilities") | |
| processes = st.text_area("Processes") | |
| startup_costs = st.text_input("Startup Costs") | |
| revenue_forecast = st.text_input("Revenue Forecast") | |
| if st.button("Generate Business Plan"): | |
| # Constructing the prompt for LLM | |
| prompt = f""" | |
| Generate a business plan for the following details: | |
| Business Name: {business_name} | |
| Business Concept: {business_concept} | |
| Goals: {goals} | |
| Legal Structure: {legal_structure} | |
| Mission Statement: {mission_statement} | |
| Unique Aspects: {unique_aspects} | |
| Industry: {industry} | |
| Market Size: {market_size} | |
| Target Customers: {target_customers} | |
| Competitors: {competitors} | |
| Strengths: {strengths} | |
| Weaknesses: {weaknesses} | |
| Team Members: {team_members} | |
| Products: {products} | |
| Marketing Strategy: {strategy} | |
| Location: {location} | |
| Facilities: {facilities} | |
| Processes: {processes} | |
| Startup Costs: {startup_costs} | |
| Revenue Forecast: {revenue_forecast} | |
| """ | |
| # Call the LLM API to generate the business plan | |
| business_plan = call_llm_api(prompt) | |
| # Display the generated business plan | |
| st.subheader("Generated Business Plan") | |
| st.write(business_plan) | |
| # Perform a Google search for additional insights | |
| search_results = google_search(business_name) | |
| st.subheader("Google Search Results") | |
| for result in search_results: | |
| st.write(f"- {result['title']}: {result['link']}") |