Update app.py

app.py

@@ -17,8 +17,9 @@ if file_name is not None:
     col1, col2 = st.columns(2)
 
     image = Image.open(file_name)
+    col1.image(image, use_column_width=True)
     inputs = pre_process(images=image, return_tensors="pt")
     input_pixels = inputs.pixel_values
-    model = AutoModelForImageClassification.from_pretrained('G:\Mi unidad\output')
+    model = AutoModelForImageClassification.from_pretrained('javierrf91/streamlit')
     outputs = model(input_pixels)
-    print("Predicted class:", model.config.id2label[outputs.logits.argmax(-1)  .item()])
+    col2.header("Predicted class:", model.config.id2label[outputs.logits.argmax(-1)  .item()])