Update app.py

app.py

@@ -33,8 +33,8 @@ def array_to_image_path(image_array):
     return full_path
     
 models = {
-    "Qwen/Qwen2-VL-72B-Instruct": Qwen2VLForConditionalGeneration.from_pretrained(
-        "Qwen/Qwen2-VL-72B-Instruct", 
+    "Qwen/Qwen2-VL-7B-Instruct": Qwen2VLForConditionalGeneration.from_pretrained(
+        "Qwen/Qwen2-VL-7B-Instruct", 
         trust_remote_code=True, 
         token=HF_TOKEN,
         torch_dtype=torch.bfloat16,
@@ -44,10 +44,10 @@ models = {
 }
 
 processors = {
-    "Qwen/Qwen2-VL-72B-Instruct": AutoProcessor.from_pretrained("Qwen/Qwen2-VL-72B-Instruct", trust_remote_code=True)
+    "Qwen/Qwen2-VL-7B-Instruct": AutoProcessor.from_pretrained("Qwen/Qwen2-VL-7B-Instruct", trust_remote_code=True)
 }
 
-DESCRIPTION = "[Qwen2-VL-72B Demo](https://huggingface.co/Qwen/Qwen2-VL-72B-Instruct)"
+DESCRIPTION = "[Qwen2-VL-7B Demo](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct)"
 
 kwargs = {}
 kwargs['torch_dtype'] = torch.bfloat16
@@ -114,11 +114,11 @@ css = """
 
 with gr.Blocks(css=css) as demo:
     gr.Markdown(DESCRIPTION)
-    with gr.Tab(label="Qwen2-VL-72B Input"):
+    with gr.Tab(label="Qwen2-VL-7B Input"):
         with gr.Row():
             with gr.Column():
                 input_img = gr.Image(label="Input Picture")
-                model_selector = gr.Dropdown(choices=list(models.keys()), label="Model", value="Qwen/Qwen2-VL-72B-Instruct")
+                model_selector = gr.Dropdown(choices=list(models.keys()), label="Model", value="Qwen/Qwen2-VL-7B-Instruct")
                 text_input = gr.Textbox(label="Question")
                 submit_btn = gr.Button(value="Submit")
             with gr.Column():