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Update app.py
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app.py
CHANGED
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import streamlit as st
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import openai
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import os
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# Ensure your OpenAI API key is set in your environment variables
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openai.api_key = os.getenv("OPENAI_API_KEY")
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# Initial system message setup
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initial_messages = [{
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"role": "system",
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@@ -15,39 +60,41 @@ initial_messages = [{
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Your advice should feel like it is coming from a personal consultant who deeply understands the business. Go beyond generalities,
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and include specific suggestions for platforms, tools, campaigns, or techniques. If applicable, suggest measurable KPIs to track success.
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If the company is already doing well in some areas, suggest how they can take those efforts to the next level.
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suggestions. For example, if you suggest blogging you'll recommend the exact keywords they should incoporate. If you recommend using video you can give them
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several topic suggestions. The user should leave with a plan so precise that they don't need to do any further research."""
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}]
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def call_openai_api(messages):
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"""
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Calls the OpenAI ChatCompletion API with the correct format.
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"""
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response = openai.ChatCompletion.create(
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model="gpt-4",
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messages=messages,
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max_tokens=3000,
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temperature=0.7
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)
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return response["choices"][0]["message"]["content"]
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def generate_marketing_plan(
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"""
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Generates a marketing plan based on website
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"""
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query = f"""
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The user has provided the following details:
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- Website
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- Industry: {industry}
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- Goals for 2025: {goals}
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- Marketing budget for 2025: ${budget}
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messages.append({"role": "user", "content": query})
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return call_openai_api(messages)
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@@ -66,16 +113,21 @@ st.markdown("<h1 style='text-align: center; color: black;'>2025 Marketing Planne
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col1, col2 = st.columns(2)
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with col1:
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st.markdown("<h2 style='text-align: center; color: black;'>Enter Business Details</h2>", unsafe_allow_html=True)
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industry = st.text_input("Industry", placeholder="E.g., Real Estate, Retail, Technology")
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goals = st.text_area("Goals for 2025", placeholder="E.g., increase brand awareness, drive online sales")
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budget = st.number_input("Marketing Budget for 2025 ($)", min_value=1000, step=1000)
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generate_button = st.button('Generate Marketing Plan')
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# Process results on button click
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if generate_button and
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# Display results if there is a reply in session state
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if st.session_state["reply"]:
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import streamlit as st
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import openai
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import requests
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from bs4 import BeautifulSoup
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from urllib.parse import urljoin
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import os
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# Ensure your OpenAI API key is set in your environment variables
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openai.api_key = os.getenv("OPENAI_API_KEY")
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def scrape_website(url, max_pages=5):
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"""
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Crawls and scrapes content from the given website URL.
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Follows internal links and extracts meaningful information from up to `max_pages` pages.
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"""
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visited = set()
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to_visit = [url]
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all_content = []
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while to_visit and len(visited) < max_pages:
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current_url = to_visit.pop(0)
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if current_url in visited:
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continue
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try:
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response = requests.get(current_url)
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response.raise_for_status()
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soup = BeautifulSoup(response.content, "html.parser")
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visited.add(current_url)
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# Extract meaningful content (e.g., meta description, main text)
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meta_description = soup.find("meta", {"name": "description"})
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if meta_description and meta_description.get("content"):
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all_content.append(meta_description["content"])
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# Extract main text (e.g., headers, paragraphs)
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paragraphs = soup.find_all("p")
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for para in paragraphs:
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all_content.append(para.get_text(strip=True))
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# Extract internal links
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links = soup.find_all("a", href=True)
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for link in links:
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full_url = urljoin(current_url, link["href"])
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if url in full_url and full_url not in visited:
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to_visit.append(full_url)
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except Exception as e:
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st.warning(f"Error fetching {current_url}: {e}")
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return " ".join(all_content[:3000]) # Limit content length for OpenAI API
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# Initial system message setup
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initial_messages = [{
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"role": "system",
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Your advice should feel like it is coming from a personal consultant who deeply understands the business. Go beyond generalities,
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and include specific suggestions for platforms, tools, campaigns, or techniques. If applicable, suggest measurable KPIs to track success.
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If the company is already doing well in some areas, suggest how they can take those efforts to the next level."""
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}]
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def call_openai_api(messages):
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"""
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Calls the OpenAI ChatCompletion API with the correct format.
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"""
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response = openai.ChatCompletion.create(
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model="gpt-4",
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messages=messages,
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max_tokens=3000,
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temperature=0.7
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)
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return response["choices"][0]["message"]["content"]
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def generate_marketing_plan(website_content, industry, goals, budget, messages):
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"""
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Generates a marketing plan based on website content, industry, and user goals.
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"""
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query = f"""
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The user has provided the following details:
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- Website content: {website_content}
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- Industry: {industry}
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- Goals for 2025: {goals}
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- Marketing budget for 2025: ${budget}
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Based on this information, create a comprehensive, customized 1-year marketing plan for 2025.
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Your output should include:
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1. **Content Marketing**: Suggestions for blogs, videos, or other content types. Provide 3-5 actionable steps for implementation.
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2. **Social Media Strategy**: Recommend specific platforms, posting frequency, and campaign ideas, with measurable goals or KPIs.
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3. **Advertising Campaigns**: Outline paid ad strategies (e.g., Google Ads, Facebook Ads). Include budget allocation and expected ROI.
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4. **Search Engine Optimization (SEO)**: Suggest improvements or new tactics, including tools or techniques they can use.
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5. **Innovative Approaches**: Any unique or industry-specific ideas that would differentiate this business.
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For each strategy, explain how it aligns with the business's goals and utilizes its current strengths. Provide a quarterly timeline to help them implement these strategies effectively."""
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messages.append({"role": "user", "content": query})
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return call_openai_api(messages)
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col1, col2 = st.columns(2)
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with col1:
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st.markdown("<h2 style='text-align: center; color: black;'>Enter Business Details</h2>", unsafe_allow_html=True)
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website_url = st.text_input("Enter your business website", placeholder="https://example.com")
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industry = st.text_input("Industry", placeholder="E.g., Real Estate, Retail, Technology")
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goals = st.text_area("Goals for 2025", placeholder="E.g., increase brand awareness, drive online sales")
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budget = st.number_input("Marketing Budget for 2025 ($)", min_value=1000, step=1000)
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generate_button = st.button('Generate Marketing Plan')
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# Process results on button click
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if generate_button and website_url:
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with st.spinner("Analyzing website content..."):
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website_content = scrape_website(website_url)
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if website_content:
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messages = initial_messages.copy()
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st.session_state["reply"] = generate_marketing_plan(website_content, industry, goals, budget, messages)
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else:
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st.warning("Unable to retrieve website content. Please check the URL or try again.")
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# Display results if there is a reply in session state
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if st.session_state["reply"]:
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