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Update app.py
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app.py
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@@ -50,40 +50,46 @@ should_save = st.sidebar.checkbox("πΎ Save", value=True)
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def add_witty_humor_buttons():
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with st.expander("Wit and Humor π€£", expanded=True):
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if st.button("Wise Quotes π§"):
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StreamLLMChatResponse(wise_description)
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StreamLLMChatResponse(rhyme_description)
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if st.button("Medical Jokes π"):
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StreamLLMChatResponse(medical_description)
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if st.button("Minnesota Humor βοΈ"):
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StreamLLMChatResponse(minnesota_description)
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funny_stories_description = "Create ten funny stories that are tweet length π"
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if st.button("Top Funny Stories π"):
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StreamLLMChatResponse(funny_stories_description)
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# Function to Stream Inference Client for Inference Endpoint Responses
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def StreamLLMChatResponse(prompt):
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def add_witty_humor_buttons():
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with st.expander("Wit and Humor π€£", expanded=True):
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# Define button descriptions
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descriptions = {
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"Generate Limericks π": "Write ten random adult limericks based on quotes that are tweet length and make you laugh π",
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"Wise Quotes π§": "Generate ten wise quotes that are tweet length π¦",
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"Funny Rhymes π€": "Create ten funny rhymes that are tweet length πΆ",
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"Medical Jokes π": "Create ten medical jokes that are tweet length π₯",
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"Minnesota Humor βοΈ": "Create ten jokes about Minnesota that are tweet length π¨οΈ",
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"Top Funny Stories π": "Create ten funny stories that are tweet length π",
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"More Funny Rhymes ποΈ": "Create ten more funny rhymes that are tweet length π΅"
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}
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# Create columns
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col1, col2, col3 = st.columns([1, 1, 1], gap="small")
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# Add buttons to columns
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if col1.button("Generate Limericks π"):
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StreamLLMChatResponse(descriptions["Generate Limericks π"])
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if col2.button("Wise Quotes π§"):
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StreamLLMChatResponse(descriptions["Wise Quotes π§"])
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if col3.button("Funny Rhymes π€"):
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StreamLLMChatResponse(descriptions["Funny Rhymes π€"])
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col4, col5, col6 = st.columns([1, 1, 1], gap="small")
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if col4.button("Medical Jokes π"):
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StreamLLMChatResponse(descriptions["Medical Jokes π"])
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if col5.button("Minnesota Humor βοΈ"):
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StreamLLMChatResponse(descriptions["Minnesota Humor βοΈ"])
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if col6.button("Top Funny Stories π"):
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StreamLLMChatResponse(descriptions["Top Funny Stories π"])
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col7 = st.columns(1, gap="small")
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if col7[0].button("More Funny Rhymes ποΈ"):
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StreamLLMChatResponse(descriptions["More Funny Rhymes ποΈ"])
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# Function to Stream Inference Client for Inference Endpoint Responses
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def StreamLLMChatResponse(prompt):
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