Update app.py

app.py

@@ -1,16 +1,11 @@
 import gradio as gr
-from transformers import AutoTokenizer, AutoModelForImageTextToText
-import torch
+from transformers import pipeline
 
-tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/SmolVLM2-2.2B-Instruct")
-model = AutoModelForImageTextToText.from_pretrained("HuggingFaceTB/SmolVLM2-2.2B-Instruct")
-
-model_path = "HuggingFaceTB/SmolVLM2-2.2B-Instruct"
-processor = AutoProcessor.from_pretrained(model_path)
+pipe = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
 
 def launch(input):
-    out = model.generate(**input)
-    return(out)
+    out = pipe(input)
+    return out[0]['generated_text']
 
 iface = gr.Interface(launch,
                      inputs=gr.Image(type='pil'),