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import streamlit as st |
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from langchain_community.llms import OpenAI |
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st.title("🔗 LinkedIn Test Post Generator two options") |
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def generate_linkedin_post(topic): |
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prompt = ( |
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f"Create a LinkedIn post about {topic} that grabs attention and makes people chuckle. Here's how:" + |
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f"Start with a relatable pain point:** Something the audience groans about inwardly (e.g., 'Ever spend hours on a task that should take minutes?')"+ |
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f"Agitate with a pinch of absurdity:** Exaggerate the pain point in a slightly ridiculous way (e.g., '...only to discover your cat was sitting on the keyboard the whole time.')"+ |
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f"***Offer a solution (with a twist):** Provide a real tip but phrase it unexpectedly (e.g., 'Turns out, the answer lies in [insightful tip] - and checking for rogue felines.')"+ |
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f"***Tone:** Confident, slightly tongue-in-cheek. Aim for a knowing smile, not a belly laugh.") |
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llm = OpenAI(temperature=0.7, openai_api_key=st.secrets["OPENAI_API_KEY"]) |
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response = llm(prompt) |
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return response |
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with st.form("my_form"): |
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topic = st.text_area("Enter the topic for your LinkedIn post:") |
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submitted = st.form_submit_button("Generate Post") |
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if submitted and topic: |
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post = generate_linkedin_post(topic) |
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st.info(post) |
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elif submitted and not topic: |
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st.error("Please enter a topic to generate a post.") |
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with st.form("my_form1"): |
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topic2 = st.text_area("Enter the topic 2 for your LinkedIn post:") |
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submitted2 = st.form_submit_button("Generate Post") |
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if submitted2 and topic2: |
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post = generate_linkedin_post(topic) |
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st.info(post) |
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elif submitted2 and not topic2: |
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st.error("Please enter a topic 2 to generate a post.") |
