Added app.py HbA1cData, requirements.txt

app.py

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+import warnings
+warnings.filterwarnings("ignore")
+
+import streamlit as st
+import numpy as np
+import pandas as pd
+import mlflow
+import mlflow.sklearn
+import os
+from datetime import datetime
+
+st.set_page_config(page_title="HBA1C Prediction", layout="centered")
+
+df_patients = pd.read_csv("Hba1cData/dim_patients_final_rev01.csv")
+patient_ids = df_patients['patient_id'].tolist()
+
+# Set the MLflow tracking URI to DagsHub
+mlflow.set_tracking_uri("https://dagshub.com/sakthi-t/healthcaremlflow.mlflow")
+
+# Load the model from MLflow model registry
+model_name = "ElasticnetHealthcareModel"
+model_version = 3
+model_uri = f"models:/{model_name}/{model_version}"
+loaded_model = mlflow.sklearn.load_model(model_uri)
+
+def predict_hba1c(patient_id, visited_date, sugar):
+    # Prepare input data
+    visited_date = pd.to_datetime(visited_date)
+    data = {
+        'patient_id': [patient_id],
+        'sugar': [sugar],
+        'year': [visited_date.year],
+        'month': [visited_date.month],
+        'day': [visited_date.day]
+    }
+    input_df = pd.DataFrame(data)
+    
+    # Make prediction
+    prediction = loaded_model.predict(input_df)
+    return prediction[0]
+
+# Streamlit interface
+st.title("HBA1C Prediction")
+st.write("Select Patient ID, Visited Date, and Sugar value to predict HBA1C.")
+
+st.markdown(
+    """
+    <div style="background-color: #FF9798; color: white; padding: 10px; border-radius: 5px;">
+        Choose sugar levels between 50 and 600. HBA1C levels are influenced by sugar values: higher sugar typically results in higher HBA1C. 
+        This machine learning project uses synthetic data and is not a definitive method to determine HBA1C levels. For accurate results, 
+        please select a date within 2024. The dataset contains dates from 2023 to April 2024. Patient names are fictional. Users can only select 
+        from existing patient IDs, and there is no correlation between User ID and sugar levels.
+    </div>
+    """, unsafe_allow_html=True
+)
+
+patient_id = st.selectbox("Patient ID", patient_ids)
+visited_date = st.date_input("Visited Date", min_value=datetime(2023, 1, 1), max_value=datetime(2024, 4, 30))
+sugar = st.number_input("Sugar", min_value=50.0, max_value=600.0, value=100.0)
+
+if st.button("Predict HBA1C"):
+    prediction = predict_hba1c(patient_id, visited_date, sugar)
+    st.write(f"Predicted HBA1C: {prediction}")

requirements.txt

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+alembic==1.13.1
+altair==5.3.0
+aniso8601==9.0.1
+anyio==4.4.0
+appdirs==1.4.4
+attrs==23.2.0
+backoff==2.2.1
+blinker==1.8.2
+boto3==1.34.115
+botocore==1.34.115
+cachetools==5.3.3
+certifi==2024.2.2
+charset-normalizer==3.3.2
+click==8.1.7
+cloudpickle==3.0.0
+colorama==0.4.6
+commonmark==0.9.1
+contourpy==1.2.1
+cycler==0.12.1
+dacite==1.6.0
+dagshub==0.3.27
+dataclasses-json==0.6.6
+Deprecated==1.2.14
+docker==7.1.0
+entrypoints==0.4
+Flask==3.0.3
+fonttools==4.52.4
+fusepy==3.0.1
+gitdb==4.0.11
+GitPython==3.1.43
+gql==3.5.0
+graphene==3.3
+graphql-core==3.2.3
+graphql-relay==3.2.0
+greenlet==3.0.3
+h11==0.14.0
+httpcore==0.16.3
+httpx==0.23.3
+idna==3.7
+importlib-metadata==7.0.0
+itsdangerous==2.2.0
+Jinja2==3.1.4
+jmespath==1.0.1
+joblib==1.4.2
+jsonschema==4.22.0
+jsonschema-specifications==2023.12.1
+kiwisolver==1.4.5
+Mako==1.3.5
+Markdown==3.6
+markdown-it-py==3.0.0
+MarkupSafe==2.1.5
+marshmallow==3.21.2
+matplotlib==3.9.0
+mdurl==0.1.2
+mlflow==2.13.0
+multidict==6.0.5
+mypy-extensions==1.0.0
+numpy==1.26.4
+opentelemetry-api==1.24.0
+opentelemetry-sdk==1.24.0
+opentelemetry-semantic-conventions==0.45b0
+packaging==24.0
+pandas==2.2.2
+pathvalidate==3.0.0
+pillow==10.3.0
+protobuf==4.25.3
+pyarrow==15.0.2
+pydeck==0.9.1
+Pygments==2.18.0
+pyparsing==3.1.2
+python-dateutil==2.9.0.post0
+pytz==2024.1
+pywin32==306
+PyYAML==6.0.1
+querystring-parser==1.2.4
+referencing==0.35.1
+requests==2.32.3
+requests-toolbelt==1.0.0
+rfc3986==1.5.0
+rich==13.1.0
+rpds-py==0.18.1
+s3transfer==0.10.1
+scikit-learn==1.5.0
+scipy==1.13.1
+setuptools==70.0.0
+six==1.16.0
+smmap==5.0.1
+sniffio==1.3.1
+SQLAlchemy==2.0.30
+sqlparse==0.5.0
+streamlit==1.35.0
+tenacity==8.2.3
+threadpoolctl==3.5.0
+toml==0.10.2
+toolz==0.12.1
+tornado==6.4
+treelib==1.6.4
+typing-inspect==0.9.0
+typing_extensions==4.12.0
+tzdata==2024.1
+urllib3==2.2.1
+waitress==3.0.0
+watchdog==4.0.1
+Werkzeug==3.0.3
+wrapt==1.16.0
+yarl==1.9.4
+zipp==3.19.0