Update app.py
Browse files
app.py
CHANGED
@@ -3,7 +3,6 @@ import base64
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import glob
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import json
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import math
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#import mistune
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import openai
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import os
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import pytz
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@@ -34,6 +33,10 @@ from templates import bot_template, css, user_template
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from xml.etree import ElementTree as ET
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import streamlit.components.v1 as components # Import Streamlit Components for HTML5
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def add_Med_Licensing_Exam_Dataset():
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import streamlit as st
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from datasets import load_dataset
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@@ -48,6 +51,7 @@ def add_Med_Licensing_Exam_Dataset():
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# 👩🔬 Search Box
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search_term = st.text_input("Search for a specific question:", "")
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# 🎛 Pagination
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records_per_page = 100
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num_records = len(dataset)
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@@ -84,8 +88,6 @@ def add_Med_Licensing_Exam_Dataset():
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st.write(f"😊 Total Records: {num_records} | 📄 Displaying {start_idx+1} to {min(end_idx, num_records)}")
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# 1. Constants and Top Level UI Variables
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# My Inference API Copy
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@@ -102,8 +104,6 @@ headers = {
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}
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key = os.getenv('OPENAI_API_KEY')
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prompt = f"Write instructions to teach anyone to write a discharge plan. List the entities, features and relationships to CCDA and FHIR objects in boldface."
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# page config and sidebar declares up front allow all other functions to see global class variables
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# st.set_page_config(page_title="GPT Streamlit Document Reasoner", layout="wide")
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should_save = st.sidebar.checkbox("💾 Save", value=True, help="Save your session data.")
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# 2. Prompt label button demo for LLM
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import glob
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import json
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import math
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import openai
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import os
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import pytz
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from xml.etree import ElementTree as ET
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import streamlit.components.v1 as components # Import Streamlit Components for HTML5
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st.set_page_config(page_title="🐪Llama Whisperer🦙 Voice Chat🌟", layout="wide")
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def add_Med_Licensing_Exam_Dataset():
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import streamlit as st
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from datasets import load_dataset
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# 👩🔬 Search Box
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search_term = st.text_input("Search for a specific question:", "")
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# 🎛 Pagination
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records_per_page = 100
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num_records = len(dataset)
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st.write(f"😊 Total Records: {num_records} | 📄 Displaying {start_idx+1} to {min(end_idx, num_records)}")
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# 1. Constants and Top Level UI Variables
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# My Inference API Copy
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}
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key = os.getenv('OPENAI_API_KEY')
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prompt = f"Write instructions to teach anyone to write a discharge plan. List the entities, features and relationships to CCDA and FHIR objects in boldface."
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should_save = st.sidebar.checkbox("💾 Save", value=True, help="Save your session data.")
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# 2. Prompt label button demo for LLM
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