Update app.py

app.py

@@ -1,62 +1,62 @@
-# Installing the latest version of the transformers library
-import os
-os.system("pip install ./transformers-4.47.0.dev0-py3-none-any.whl")
-
-# Importing the requirements
-import warnings
-warnings.filterwarnings("ignore")
-
-import gradio as gr
-from src.app.response import describe_image
-
-
-# Image, text query, and input parameters
-image = gr.Image(type="pil", label="Image")
-text = gr.Textbox(label="Question", placeholder="Enter your question here")
-max_new_tokens = gr.Slider(
-    minimum=20, maximum=160, step=1, value=80, step=10, label="Max Tokens"
-)
-
-# Output for the interface
-answer = gr.Textbox(label="Predicted answer", show_label=True, show_copy_button=True)
-
-# Examples for the interface
-examples = [
-    [
-        "images/cat.jpg",
-        "How many cats are there?",
-        80,
-    ],
-    [
-        "images/dog.jpg",
-        "What color is the dog?",
-        80,
-    ],
-    [
-        "images/bird.jpg",
-        "What is the bird doing?",
-        160,
-    ],
-]
-
-# Title, description, and article for the interface
-title = "Visual Question Answering"
-description = "Gradio Demo for the PaliGemma 2 Vision Language Understanding and Generation model. This model can answer questions about images in natural language. To use it, upload your image, type a question, select associated parameters, use the default values, click 'Submit', or click one of the examples to load them. You can read more at the links below."
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2412.03555' target='_blank'>Model Paper</a> | <a href='https://huggingface.co/google/paligemma2-3b-ft-docci-448' target='_blank'>Model Page</a></p>"
-
-
-# Launch the interface
-interface = gr.Interface(
-    fn=describe_image,
-    inputs=[image, text, max_new_tokens],
-    outputs=answer,
-    examples=examples,
-    cache_examples=True,
-    cache_mode="lazy",
-    title=title,
-    description=description,
-    article=article,
-    theme="Nymbo/Nymbo_Theme",
-    flagging_mode="never",
-)
-interface.launch(debug=False)
+# Installing the latest version of the transformers library
+import os
+os.system("pip install ./transformers-4.47.0.dev0-py3-none-any.whl")
+
+# Importing the requirements
+import warnings
+warnings.filterwarnings("ignore")
+
+import gradio as gr
+from src.app.response import describe_image
+
+
+# Image, text query, and input parameters
+image = gr.Image(type="pil", label="Image")
+text = gr.Textbox(label="Question", placeholder="Enter your question here")
+max_new_tokens = gr.Slider(
+    minimum=20, maximum=160, step=10, value=80, label="Max Tokens"
+)
+
+# Output for the interface
+answer = gr.Textbox(label="Predicted answer", show_label=True, show_copy_button=True)
+
+# Examples for the interface
+examples = [
+    [
+        "images/cat.jpg",
+        "How many cats are there?",
+        80,
+    ],
+    [
+        "images/dog.jpg",
+        "What color is the dog?",
+        80,
+    ],
+    [
+        "images/bird.jpg",
+        "What is the bird doing?",
+        160,
+    ],
+]
+
+# Title, description, and article for the interface
+title = "Visual Question Answering"
+description = "Gradio Demo for the PaliGemma 2 Vision Language Understanding and Generation model. This model can answer questions about images in natural language. To use it, upload your image, type a question, select associated parameters, use the default values, click 'Submit', or click one of the examples to load them. You can read more at the links below."
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2412.03555' target='_blank'>Model Paper</a> | <a href='https://huggingface.co/google/paligemma2-3b-ft-docci-448' target='_blank'>Model Page</a></p>"
+
+
+# Launch the interface
+interface = gr.Interface(
+    fn=describe_image,
+    inputs=[image, text, max_new_tokens],
+    outputs=answer,
+    examples=examples,
+    cache_examples=True,
+    cache_mode="lazy",
+    title=title,
+    description=description,
+    article=article,
+    theme="Nymbo/Nymbo_Theme",
+    flagging_mode="never",
+)
+interface.launch(debug=False)