Spaces:
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Vela
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a8b8c9a
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Parent(s):
d091eda
modified frontend
Browse files- __pycache__/app.cpython-313.pyc +0 -0
- src/frontend/app/__pycache__/common_functions.cpython-313.pyc +0 -0
- src/frontend/app/__pycache__/pinecone_data_handler.cpython-313.pyc +0 -0
- src/frontend/app/common_functions.py +37 -48
- src/frontend/home.py +4 -1
- src/frontend/images/chat_doctor_logo.png +3 -0
- src/frontend/images/healthy.png +3 -0
- src/frontend/pages/chatbot.py +6 -4
__pycache__/app.cpython-313.pyc
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src/frontend/app/__pycache__/common_functions.cpython-313.pyc
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src/frontend/app/__pycache__/pinecone_data_handler.cpython-313.pyc
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src/frontend/app/common_functions.py
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@@ -5,8 +5,6 @@ from dotenv import load_dotenv
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from utils import logger
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import json
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import time
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from datetime import datetime
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from typing import Dict, Any
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import streamlit as st
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@@ -85,43 +83,10 @@ def upsert_data_request(start, end):
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response = requests.post(url, data=json.dumps(payload), headers=headers)
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return response.json()
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except requests.exceptions.HTTPError as http_err:
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except Exception as err:
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# def initialize_conversation():
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# """
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# Initialize the conversation history with system and assistant messages.
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# Returns:
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# - list: Initialized conversation history.
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# """
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# assistant_message = (
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# "Hello! I am your Yuvabe Care Companion AI, here to assist you with general medicine queries. "
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# "I can provide information about common symptoms, medications, treatments, and wellness tips. "
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# "How can I help you today?"
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# )
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# conversation_history = [
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# {"role": "system", "content": "You are Yuvabe Care Companion AI, an advanced healthcare assistant designed to provide guidance on medical, mental health, and wellness topics."},
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# {"role": "system", "content": "Yuvabe Care Companion AI is powered by the LLaMA 3.3-70B Versatile model, optimized for comprehensive and responsible healthcare support."},
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# {"role": "system", "content": "Your knowledge is up-to-date with the latest medical guidelines as of July 2024, but you are NOT a replacement for professional medical advice."},
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# {"role": "system", "content": "Always provide accurate, empathetic, and responsible responses while reminding users to consult healthcare professionals when necessary."},
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# {"role": "system", "content": "You were created by Velu R, an AI model developer."},
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# {"role": "assistant", "content": assistant_message}
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# ]
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# return conversation_history
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def fetch_response(prompt, chat_history):
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try:
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# Prepare data for API request
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justify-content: space-between;
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align-items: center;
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background-color: #F0F2F6;
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padding:
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margin-top: -30px;
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width: 100%;
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border-radius: 32px;
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box-shadow: 0 6px 20px rgba(0, 0, 0, 0.15);
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border: 1px solid #D1D5DB;
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}
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.logo {
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font-family: 'Arial', sans-serif;
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font-size: 30px;
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font-weight: bold;
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color: #1E293B;
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}
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.nav-links {
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display: flex;
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gap: 32px;
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align-items: center;
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}
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.nav-link {
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color: #1E293B !important;
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background-color: transparent;
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text-decoration: none;
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font-weight: 600;
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font-size: 18px;
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padding: 6px 16px;
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border-radius: 8px;
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transition: background-color 0.3s ease, color 0.3s ease;
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}
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.nav-link:hover {
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background-color: #2E5D5B;
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color: #FFFFFF;
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}
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</style>
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from utils import logger
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import json
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import time
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import streamlit as st
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response = requests.post(url, data=json.dumps(payload), headers=headers)
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return response.json()
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except requests.exceptions.HTTPError as http_err:
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logger.info(f"HTTP error occurred: {http_err}")
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except Exception as err:
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logger.info(f"An error occurred: {err}")
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def fetch_response(prompt, chat_history):
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try:
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# Prepare data for API request
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justify-content: space-between;
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align-items: center;
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background-color: #F0F2F6;
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padding: 12px 32px;
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margin-top: -30px;
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width: 100%;
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max-width: 1200px;
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border-radius: 32px;
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box-shadow: 0 6px 20px rgba(0, 0, 0, 0.15);
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border: 1px solid #D1D5DB;
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margin-left: auto;
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margin-right: auto;
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box-sizing: border-box;
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flex-wrap: wrap;
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}
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.logo {
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font-family: 'Arial', sans-serif;
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font-size: 30px;
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font-weight: bold;
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color: #1E293B;
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white-space: nowrap;
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text-overflow: ellipsis;
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flex-wrap: wrap;
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}
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.nav-links {
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display: flex;
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gap: 32px;
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align-items: center;
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flex-wrap: wrap;
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}
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.nav-link {
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color: #1E293B !important;
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background-color: transparent;
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text-decoration: none;
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font-weight: 600;
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font-size: 18px;
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padding: 6px 16px;
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border-radius: 8px;
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transition: background-color 0.3s ease, color 0.3s ease;
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white-space: nowrap;
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}
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.nav-link:hover {
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background-color: #2E5D5B;
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color: #FFFFFF;
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}
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@media (max-width: 768px) {
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.navbar {
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flex-direction: column;
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text-align: center;
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padding: 12px 16px; /* Adjusted padding for smaller screens */
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}
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.nav-links {
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flex-direction: column;
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gap: 12px;
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margin-top: 8px;
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}
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}
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</style>
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src/frontend/home.py
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@@ -15,9 +15,12 @@ def render_homepage():
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# Feature Overview Section
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text = ("""
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Key Features
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- Admin Portal β Effortlessly manage records, track data, and configure settings with ease.
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- Knowledge Base Explorer β Discover precise and relevant insights using advanced vector search technology.
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> π‘ Explore each section to unlock powerful features tailored to enhance your experience.
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""")
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# Feature Overview Section
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text = ("""
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Key Features
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- Admin Portal β Effortlessly manage records, track data, and configure settings with ease.
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- Knowledge Base Explorer β Discover precise and relevant insights using advanced vector search technology.
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- Chat with Us β Engage with our intelligent assistant for personalized guidance, helping you articulate your health concerns with clarity and confidence.
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> π‘ Explore each section to unlock powerful features tailored to enhance your experience.
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""")
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src/frontend/images/chat_doctor_logo.png
ADDED
![]() |
Git LFS Details
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src/frontend/images/healthy.png
ADDED
![]() |
Git LFS Details
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src/frontend/pages/chatbot.py
CHANGED
@@ -7,7 +7,7 @@ API_URL = "http://localhost:8000/chat/get-health-advice/"
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NUMBER_OF_MESSAGES_TO_DISPLAY = 20
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common_functions.config_homepage()
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common_functions.set_page_title()
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common_functions.set_bg_image("src/frontend/images/
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# Initialize conversation history
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def initialize_conversation():
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assistant_message = ("Hello! I am your Yuvabe Care Companion AI, here to assist you with general medicine queries. "
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# Display chat history
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for message in st.session_state.conversation_history [-NUMBER_OF_MESSAGES_TO_DISPLAY:]:
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role = message["role"]
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avatar_image = "src/frontend/images/
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with st.chat_message(role, avatar=avatar_image):
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st.write(message["content"])
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if user_input:
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# Display user's input
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common_functions.typewriter_effect(user_input)
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# Append user input to session history
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common_functions.store_chat_history_in_db(st.session_state.conversation_id,st.session_state.conversation_history)
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# Display only the assistant's latest response
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common_functions.typewriter_effect(assistant_reply)
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render_chatbot()
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NUMBER_OF_MESSAGES_TO_DISPLAY = 20
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common_functions.config_homepage()
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common_functions.set_page_title()
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common_functions.set_bg_image("src/frontend/images/health_care_baner_2.jpg")
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# Initialize conversation history
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def initialize_conversation():
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assistant_message = ("Hello! I am your Yuvabe Care Companion AI, here to assist you with general medicine queries. "
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# Display chat history
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for message in st.session_state.conversation_history [-NUMBER_OF_MESSAGES_TO_DISPLAY:]:
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role = message["role"]
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avatar_image = "src/frontend/images/chat_doctor_logo.png" if role == "assistant" else "src/frontend/images/healthy.png" if role == "user" else None
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with st.chat_message(role, avatar=avatar_image):
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st.write(message["content"])
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if user_input:
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# Display user's input
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user_avatar_image = "src/frontend/images/healthy.png"
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with st.chat_message('user',avatar=user_avatar_image):
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common_functions.typewriter_effect(user_input)
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# Append user input to session history
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common_functions.store_chat_history_in_db(st.session_state.conversation_id,st.session_state.conversation_history)
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# Display only the assistant's latest response
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doctor_avatar_image = "src/frontend/images/chat_doctor_logo.png"
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with st.chat_message('assistant',avatar=doctor_avatar_image):
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common_functions.typewriter_effect(assistant_reply)
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render_chatbot()
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