Update app.py

app.py

@@ -1,12 +1,15 @@
-from transformers import BlipForQuestionAnswering 
+from transformers import BlipForQuestionAnswering, AutoProcessor
+import gradio as gr
+from PIL import Image
+import io
+
 model = BlipForQuestionAnswering.from_pretrained("Salesforce/blip-vqa-base")
 processor = AutoProcessor.from_pretrained("Salesforce/blip-vqa-base")
-from transformers import AutoProcessor
-from PIL import Image
-import gradio as gr
 
 def answer_question(image, question):
-    image = np.array(Image.open(image))
+    # Open the image file-like object
+    image = Image.open(io.BytesIO(image.read()))
+
     inputs = processor(image, question, return_tensors="pt")
     out = model.generate(**inputs)
     answer = processor.decode(out[0], skip_special_tokens=True)
@@ -14,10 +17,15 @@ def answer_question(image, question):
 
 # Create Gradio interface
 image_input = gr.Image(label="Upload Image")
-question_input = gr.Textbox(label="Ask a Question",lines = 4)
+question_input = gr.Textbox(label="Ask a Question", lines=4)
 output = gr.Textbox(label="Answer")
 
-interface = gr.Interface(fn=answer_question, inputs=[image_input, question_input], outputs=output, title="Multimodal Question Answering",description=" BlipForQuestionAnswering for Question Answering")
-
-interface.launch()
+interface = gr.Interface(
+    fn=answer_question,
+    inputs=[image_input, question_input],
+    outputs=output,
+    title="Multimodal Question Answering",
+    description="BlipForQuestionAnswering for Question Answering",
+)
 
+interface.launch()