Update app.py

app.py

@@ -13,8 +13,8 @@ model_vqa = BlipForQuestionAnswering.from_pretrained("Salesforce/blip-vqa-capfil
 
 from transformers import BlipProcessor, BlipForConditionalGeneration
 
-cap_processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
-cap_model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large")
+cap_processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
+cap_model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
 
 
 
@@ -26,7 +26,7 @@ def caption(input_image):
     return "\n".join(cap_processor.batch_decode(out, skip_special_tokens=True))
 import openai
 import os
-openai.api_key= os.getenv('openai_appkey') #"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"
+openai.api_key= os.getenv('openai_appkey') 
 def gpt3(question,vqa_answer,caption):
     prompt=caption+"\n"+question+"\n"+vqa_answer+"\n Tell me the right answer."
     response = openai.Completion.create(