update

app.py

@@ -1,8 +1,13 @@
 import gradio as gr
-from transformers import pipeline
+from transformers import AutoModel, AutoTokenizer
+
+# Load the model
+model = AutoModel.from_pretrained("openbmb/MiniCPM-Llama3-V-2_5", trust_remote_code=True)
+
+# Load the tokenizer
+tokenizer = AutoTokenizer.from_pretrained("openbmb/MiniCPM-Llama3-V-2_5", trust_remote_code=True)
+
 
-# Initialize the pipeline
-pipe = pipeline("visual-question-answering", model="openbmb/MiniCPM-Llama3-V-2_5", trust_remote_code=True)
 
 # Define the Gradio components
 image = gr.Image(type="pil", label="Image")