Update app.py

app.py

@@ -1,9 +1,21 @@
 import streamlit as st
-from transformers import pipeline
+from transformers import AutoTokenizer, AutoModel
 
-pipe = pipeline('sentiment-analysis')
-text = st.text_area('i love you')
+# Load model and tokenizer
+tokenizer = AutoTokenizer.from_pretrained("medicalai/ClinicalBERT")
+model = AutoModel.from_pretrained("medicalai/ClinicalBERT")
 
-if text:
-  out = pipe(text)
-  st.json(out)
+# Define app layout
+st.title("ClinicalBERT Inference App")
+input_text = st.text_input("Enter clinical text:")
+
+if input_text:
+    # Preprocess input
+    inputs = tokenizer(input_text, return_tensors="pt")
+
+    # Perform inference
+    with st.spinner("Processing..."):
+        outputs = model(**inputs)
+
+    # Display results (adjust based on model output format)
+    st.write("Model outputs:", outputs)