created app

app.py

@@ -0,0 +1,23 @@
+from transformers import pipeline, AutoTokenizer, AutoModelForSequenceClassification
+import gradio as gr
+
+# Load pre-trained model and tokenizer
+model_name = "ferrazzipaulo/biobert-drug-interactions"
+pipe = pipeline("text-classification", model=model_name)
+
+def predict_drug_interaction(text):
+    result = pipe(text)
+    return result[0]['label'], result[0]['score']
+
+demo = gr.Interface(
+    fn=predict_drug_interaction,
+    inputs=gr.Textbox(label="Enter a biomedical sentence"),
+    outputs=[
+        gr.Label(label="Prediction"),
+        gr.Number(label="Confidence Score")
+    ],
+    title="Drug Interaction Predictor",
+    description="Detects whether two drugs are likely to interact based on biomedical text."
+)
+
+demo.launch()