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Update app.py
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app.py
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@@ -204,15 +204,13 @@ def search_glossary(query):
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filename = generate_filename(query + ' --- ' + response, "md")
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create_file(filename, query, response, should_save)
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st.write('## π Running with Llama.') # -------------------------------------------------------------------------------------------------
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response2 = StreamLLMChatResponse(query)
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#st.write(response2)
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filename_txt
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all = '# Query: ' + query + '# Response: ' + response + '# Response2: ' + response2
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filename_txt2 = generate_filename(query + ' --- ' + all, "md")
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create_file(filename_txt2, query, all, should_save)
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@@ -1026,49 +1024,6 @@ def add_medical_exam_buttons():
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filename = generate_filename(response, 'txt')
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create_file(filename, input, response, should_save)
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def add_medical_exam_buttons2():
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with st.expander("Medical Licensing Exam Topics π", expanded=False):
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st.markdown("π©Ί **Important**: This section provides a variety of medical topics that are often encountered in medical licensing exams.")
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# Define medical exam terminology descriptions
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descriptions = {
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"White Blood Cells π": "3 Questions and Answers with emojis about white blood cells π₯",
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"CT Imagingπ¦ ": "3 Questions and Answers with emojis about CT Imaging of post surgery abscess, hematoma, and cerosanguiness fluid π",
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"Hematoma π": "3 Questions and Answers with emojis about hematoma and infection and how heat helps white blood cells πͺ",
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"Post Surgery Wound Care π": "3 Questions and Answers with emojis about wound care and how to help as a caregiverπ©Έ",
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"Healing and humor π": "3 Questions and Answers with emojis on the use of stories and humor to help patients and family π",
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"Psychology of bedside manner π§¬": "3 Questions and Answers with emojis about good bedside manner π ",
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"CT scan π": "3 Questions and Answers with analysis of bacteria and understanding infection using cultures and CT scan π©Ί"
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}
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# Create columns
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col1, col2, col3, col4 = st.columns([1, 1, 1, 1], gap="small")
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# Add buttons to columns
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if col1.button("Ultrasound with Doppler π"):
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StreamLLMChatResponse(descriptions["Ultrasound with Doppler π"])
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if col2.button("Oseltamivir π¦ "):
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StreamLLMChatResponse(descriptions["Oseltamivir π¦ "])
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if col3.button("IM Epinephrine π"):
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StreamLLMChatResponse(descriptions["IM Epinephrine π"])
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if col4.button("Hypokalemia π"):
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StreamLLMChatResponse(descriptions["Hypokalemia π"])
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col5, col6, col7, col8 = st.columns([1, 1, 1, 1], gap="small")
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if col5.button("Succinylcholine π"):
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StreamLLMChatResponse(descriptions["Succinylcholine π"])
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if col6.button("Phosphoinositol System π§¬"):
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StreamLLMChatResponse(descriptions["Phosphoinositol System π§¬"])
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if col7.button("Ramipril π"):
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StreamLLMChatResponse(descriptions["Ramipril π"])
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# 17. Main
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def main():
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filename = generate_filename(query + ' --- ' + response, "md")
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create_file(filename, query, response, should_save)
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#st.write('## π Running with Llama.') # -------------------------------------------------------------------------------------------------
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#response2 = StreamLLMChatResponse(query)
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#st.write(response2)
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#filename_txt = generate_filename(query + ' --- ' + response2, "md")
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#create_file(filename_txt, query, response2, should_save)
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all = '# Query: ' + query + '# Response: ' + response
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filename_txt2 = generate_filename(query + ' --- ' + all, "md")
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create_file(filename_txt2, query, all, should_save)
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filename = generate_filename(response, 'txt')
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create_file(filename, input, response, should_save)
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# 17. Main
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def main():
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