Update app.py

app.py

@@ -209,10 +209,6 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
                 with gr.TabItem("Image Inference"):
                     image_query = gr.Textbox(label="Query Input", placeholder="Enter your query here...")
                     image_upload = gr.Image(type="pil", label="Image")
-                    model_choice = gr.Dropdown(
-                        choices=["Cosmos-Reason1-7B", "MiMo-VL-7B-RL"],
-                        label="Select Model",
-                        value="Cosmos-Reason1-7B")
                     image_submit = gr.Button("Submit", elem_classes="submit-btn")
                     gr.Examples(
                         examples=image_examples,
@@ -221,10 +217,6 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
                 with gr.TabItem("Video Inference"):
                     video_query = gr.Textbox(label="Query Input", placeholder="Enter your query here...")
                     video_upload = gr.Video(label="Video")
-                    model_choice = gr.Dropdown(
-                        choices=["Cosmos-Reason1-7B", "MiMo-VL-7B-RL"],
-                        label="Select Model",
-                        value="Cosmos-Reason1-7B")
                     video_submit = gr.Button("Submit", elem_classes="submit-btn")
                     gr.Examples(
                         examples=video_examples,
@@ -239,7 +231,13 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
                 repetition_penalty = gr.Slider(label="Repetition penalty", minimum=1.0, maximum=2.0, step=0.05, value=1.2)
         with gr.Column():
             output = gr.Textbox(label="Output", interactive=False)
-
+    
+    model_choice = gr.Dropdown(
+        choices=["Cosmos-Reason1-7B", "MiMo-VL-7B-RL"],
+        label="Select Model",
+        value="Cosmos-Reason1-7B"
+    )
+    
     image_submit.click(
         fn=generate_image,
         inputs=[model_choice, image_query, image_upload, max_new_tokens, temperature, top_p, top_k, repetition_penalty],