Create app.py

app.py

@@ -0,0 +1,23 @@
+import os
+import gradio as gr
+from transformers import pipeline
+
+from transformers import AutoProcessor, BlipForQuestionAnswering
+
+processor = AutoProcessor.from_pretrained(
+    "Salesforce/blip-vqa-base")
+
+model = BlipForQuestionAnswering.from_pretrained(
+    "Salesforce/blip-vqa-base")
+
+def launch(pil_image, question):
+    inputs = processor(pil_image, question, return_tensors="pt")
+    out = model.generate(**inputs)
+    return processor.decode(out[0], skip_special_tokens=True)
+
+iface = gr.Interface(launch, 
+                     inputs=[gr.Image(label="Input image", type='pil'), 
+                             gr.Textbox(label="Question", lines=3)], 
+                     outputs=gr.Textbox(label="Answer", lines=3))
+
+iface.launch()