Create app.py

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+from transformers import BlipForQuestionAnswering, 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()