Update app.py

app.py

@@ -1,11 +1,26 @@
+import gradio as gr
 from transformers import BlipProcessor, BlipForConditionalGeneration
 from PIL import Image
-processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base") 
-model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
+import torch
 
-image = Image.open("skydive.jpg")
-inputs = processor(image, return_tensors = "pt")
-outputs = model.generate(**inputs)
+def generate_caption(input_image):
+    processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base") 
+    model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
+
+    image = Image.open(input_image)
+    inputs = processor(image, return_tensors="pt")
+    outputs = model.generate(**inputs)
+
+    caption = processor.decode(outputs[0], skip_special_tokens=True)
+    return caption
+
+iface = gr.Interface(
+    fn=generate_caption,
+    inputs=gr.inputs.Image(),
+    outputs="text",
+    title="Image Captioning",
+    description="Upload an image to generate a caption."
+)
+
+iface.launch()
 
-caption = processor.decode(outputs[0], skip_special_tokens = True)
-print(caption)