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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 professional, engaging LinkedIn post about {topic}. " |
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"It should start with a attention grabbing hook based on audience pain" |
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"Then a line to agitate the user. This should be in the next line" |
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"The post should be concise, informative, and suitable for a professional audience. " |
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"It should provide value, insights, or thought-provoking content related to the topic. " |
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"And only contain 3 points." |
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"The tone should be positive and encouraging, suitable for networking and professional growth." |
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) |
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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.") |
