corrected

app.py

@@ -1,12 +1,12 @@
 import gradio as gr
-from transformers import pipeline
+#from transformers import pipeline
 from transformers import AutoModel
 
 #pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
 model = AutoModel.from_pretrained("deepsynthbody/deepfake_ecg", trust_remote_code=True)
 
 def predict(num_ecgs):
-    predictions = model(num_ecgs)
+    predictions = model(int(num_ecgs))
     return {"ecgs": predictions}
 
 gr.Interface(