Update app.py

app.py

@@ -1,4 +1,19 @@
 import streamlit as st
+from transformers import pipeline
 
-st.title("My Streamlit App on Hugging Face")
-st.write("Hello, this is a simple Streamlit app deployed on Hugging Face!")
+# Load the model
+st.title("PatientSeek AI Model")
+st.write("This app uses the PatientSeek model for medical predictions.")
+
+@st.cache_resource  # Cache to speed up loading
+def load_model():
+    return pipeline("text-classification", model="whyhow-ai/PatientSeek")
+
+model = load_model()
+
+# User input
+user_input = st.text_area("Enter patient symptoms:")
+
+if user_input:
+    result = model(user_input)
+    st.write("Prediction:", result)