Update app.py

app.py

@@ -1,12 +1,18 @@
 import gradio as gr
 from transformers import pipeline
+from PIL import Image
+import numpy as np
 
-pipe = pipeline("image-to-text", model="daniyal214/finetuned-git-large-chest-xrays")
+pipe = pipeline("image-to-text", model="daniyal214/finetuned-blip-chest-xrays")
 
-def get_captions(image):
-  result = pipe(image)
-  result = result[0]['generated_text']
-  return result
+def get_captions(input_image):
+    # Convert the received image to a PIL Image
+    image = Image.fromarray((input_image * 255).astype(np.uint8))
+    
+    # Pass the PIL image to the pipeline
+    result = pipe(image)
+    result = result[0]['generated_text']
+    return result
 
 iface = gr.Interface(fn = get_captions, inputs = "image", outputs = ['text'], title="X-rays Image Caption Generator")
 iface.launch()