Update app.py

app.py

@@ -1,31 +1,10 @@
-import gradio as gr
-from transformers import BlipForQuestionAnswering, AutoProcessor
+from transformers import BlipForQuestionAnswering
+from transformers import AutoProcessor
 from PIL import Image
-
-
-model = BlipForQuestionAnswering.from_pretrained("Salesforce/blip-vqa-base")
-processor = AutoProcessor.from_pretrained("Salesforce/blip-vqa-base")
-
-def answer_question(image, question):
-  
-    inputs = processor(image, question, return_tensors="pt")
-    
-    out = model.generate(**inputs)
-    
-    answer = processor.decode(out[0], skip_special_tokens=True)
-    return answer
-
-
-iface = gr.Interface(
-    fn=answer_question,
-    inputs=[
-        gr.inputs.Image(type="pil", label="Upload Image"),
-        gr.inputs.Textbox(label="Enter Your Question")
-    ],
-    outputs="text",
-    title="BLIP Question Answering",
-    description="Upload an image and ask a question to get an answer."
-)
-
-
-iface.launch()
+import gradio as gr
+def qna(image,question):
+  inputs=processor(image,question,return_tensors="pt")
+  out=model.generate(**inputs)
+  return processor.decode(out[0],skip_special_tokens=True)
+interf=gr.Interface(qna,inputs=["image","text"],outputs="text")
+interf.launch()