Add Streamlit app for patentability score prediction

app.py

@@ -62,3 +62,15 @@ if selected_patent:
         decision_labels = ['REJECTED', 'ACCEPTED', 'PENDING', 'CONT-REJECTED', 'CONT-ACCEPTED', 'CONT-PENDING']
         score = decision_labels[predictions.item()]
         st.write(f"Patentability Score: **{score}**")
+
+# Additional button to evaluate the model on the validation set
+if st.button("Evaluate Model"):
+    eval_logits = []
+    for _, row in val_df.iterrows():
+        input_text = f"{row['abstract']} {row['claims']}"
+        inputs = tokenizer(input_text, return_tensors="pt", truncation=True, padding='max_length', max_length=512)
+        with torch.no_grad():
+            logits = model(**inputs).logits
+            eval_logits.append(logits)
+
+    st.write("Evaluation complete.")