Add application file

app.py

@@ -0,0 +1,32 @@
+import gradio as gr
+from model import MoondreamModel
+import torch
+
+# Load the model and tokenizer once at startup
+model = MoondreamModel.load_model()
+tokenizer = MoondreamModel.load_tokenizer()
+
+# Define the default question
+default_question = "Describe the image."
+
+# Function to handle image and return generated caption
+def generate_caption_with_default(image):
+    # Preprocess the image
+    preprocessed_image = MoondreamModel.preprocess_image(image)
+    
+    # Generate caption
+    caption = MoondreamModel.generate_caption(model, preprocessed_image, tokenizer)
+    
+    return caption
+
+# Create Gradio interface
+interface = gr.Interface(
+    fn=generate_caption_with_default,
+    inputs=gr.inputs.Image(type="pil", label="Upload an Image"),
+    outputs="text",
+    title="Image Caption Generator",
+    description=f"The default question is: '{default_question}'. Upload an image to generate a description."
+)
+
+# Launch the interface
+interface.launch()