Spaces:
Sleeping
Sleeping
File size: 1,897 Bytes
9df0ed1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
# app.py
import streamlit as st
import chromadb
from chromadb import Client
from chromadb.config import Settings
# Initialize ChromaDB client
client = Client(Settings(chroma_db_impl="duckdb+parquet", persist_directory="chroma_db"))
# Create collections for patient reports and daily habits
reports_collection = client.create_collection("patient_reports")
habits_collection = client.create_collection("daily_habits")
# Streamlit app layout
st.title("Patient Report and Daily Habits Tracker")
# Input form for patient reports
with st.form("patient_report_form"):
patient_name = st.text_input("Patient Name")
report_date = st.date_input("Report Date")
report_text = st.text_area("Report Text")
submitted = st.form_submit_button("Submit Report")
if submitted:
reports_collection.add(
documents=[report_text],
metadatas=[{"patient_name": patient_name, "report_date": str(report_date)}],
ids=[f"report_{len(reports_collection.documents) + 1}"]
)
st.success("Report submitted successfully!")
# Input form for daily habits
with st.form("daily_habit_form"):
patient_name_habit = st.text_input("Patient Name for Habit")
date_habit = st.date_input("Date for Habit")
habit = st.text_input("Habit Description")
submitted_habit = st.form_submit_button("Submit Habit")
if submitted_habit:
habits_collection.add(
documents=[habit],
metadatas=[{"patient_name": patient_name_habit, "date": str(date_habit)}],
ids=[f"habit_{len(habits_collection.documents) + 1}"]
)
st.success("Habit submitted successfully!")
# Function to display reports
if st.button("View Reports"):
reports = reports_collection.get()
st.write(reports)
# Function to display habits
if st.button("View Habits"):
habits = habits_collection.get()
st.write(habits)
|