Update app.py

app.py

@@ -1,8 +1,28 @@
-import os
+The error you're encountering stems from two separate issues:
 
-commandline_args = os.getenv("COMMANDLINE_ARGS", "")
+1. **`trust_remote_code` warning:**
+   This warning is triggered because `trust_remote_code` is used in the wrong context. It only affects Auto classes (like `AutoModel` or `AutoProcessor`) but has no effect when loading the model directly using `Qwen2VLForConditionalGeneration`. You can safely remove it when loading the model. Here's the corrected model loading line:
+
+   ```python
+   model = Qwen2VLForConditionalGeneration.from_pretrained(
+       "Qwen/Qwen2-VL-2B-Instruct",
+       torch_dtype=torch.float32,
+       device_map="cpu"
+   ).eval()
+   ```
+
+2. **`enable_queue` argument in `launch`:**
+   The argument `enable_queue` has been replaced by `queue` in recent Gradio versions. Instead of using `enable_queue=False`, you should use `queue=False`. Here’s how to fix the `demo.launch()` call:
+
+   ```python
+   demo.launch(inline=False, server_name="0.0.0.0", server_port=int(os.getenv("PORT", 7860)), debug=True, queue=False)
+   ```
 
+This should resolve the issues you're encountering. Here's the corrected code:
 
+### Final Code Fix:
+
+```python
 import gradio as gr
 import torch
 from transformers import Qwen2VLForConditionalGeneration, AutoProcessor
@@ -23,12 +43,11 @@ def array_to_image_path(image_array):
 # Load model and processor
 model = Qwen2VLForConditionalGeneration.from_pretrained(
     "Qwen/Qwen2-VL-2B-Instruct", 
-    trust_remote_code=True, 
     torch_dtype=torch.float32,
     device_map="cpu"
 ).eval()
 
-processor = AutoProcessor.from_pretrained("Qwen/Qwen2-VL-2B-Instruct", trust_remote_code=True)
+processor = AutoProcessor.from_pretrained("Qwen/Qwen2-VL-2B-Instruct")
 
 DESCRIPTION = "[Qwen2-VL-2B Demo (CPU Version)](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct)"
 
@@ -95,5 +114,10 @@ with gr.Blocks(css=css) as demo:
 
         submit_btn.click(run_example, [input_img, text_input], [output_text])
 
+commandline_args = os.getenv("COMMANDLINE_ARGS", "")
+
 demo.queue(api_open=False)
-demo.launch(inline=False, server_name="0.0.0.0", server_port=int(os.getenv("PORT", 7860)), debug=True, enable_queue=("--no-gradio-queue" not in commandline_args))
+demo.launch(inline=False, server_name="0.0.0.0", server_port=int(os.getenv("PORT", 7860)), debug=True, queue=("--no-gradio-queue" not in commandline_args))
+```
+
+This code should now work without the previous errors.