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Fix
Browse files- README.md +1 -1
- app.py +4 -5
- requirements.txt +4 -4
README.md
CHANGED
@@ -4,7 +4,7 @@ emoji: 🌖
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colorFrom: blue
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colorTo: pink
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sdk: gradio
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sdk_version: 3.
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python_version: 3.10.11
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app_file: app.py
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pinned: false
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colorFrom: blue
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colorTo: pink
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sdk: gradio
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sdk_version: 3.50.2
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python_version: 3.10.11
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app_file: app.py
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pinned: false
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app.py
CHANGED
@@ -18,19 +18,18 @@ if not torch.cuda.is_available():
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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MODEL_ID_FLAN_T5_XXL = "Salesforce/blip2-flan-t5-xxl"
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MODEL_ID = os.getenv("MODEL_ID", MODEL_ID_FLAN_T5_XXL)
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processor = AutoProcessor.from_pretrained(MODEL_ID)
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if torch.cuda.is_available():
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model = Blip2ForConditionalGeneration.from_pretrained(MODEL_ID, device_map="auto", load_in_8bit=True)
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else:
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model = Blip2ForConditionalGeneration.from_pretrained(MODEL_ID)
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def generate_caption(
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image: PIL.Image.Image,
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decoding_method: str,
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@@ -54,7 +53,7 @@ def generate_caption(
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return result
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def answer_question(
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image: PIL.Image.Image,
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text: str,
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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MODEL_ID = os.getenv("MODEL_ID", "Salesforce/blip2-opt-6.7b")
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processor = AutoProcessor.from_pretrained(MODEL_ID)
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if torch.cuda.is_available():
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model = Blip2ForConditionalGeneration.from_pretrained(MODEL_ID, device_map="auto", load_in_8bit=True)
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else:
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model = Blip2ForConditionalGeneration.from_pretrained(MODEL_ID)
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@spaces.GPU
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def generate_caption(
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image: PIL.Image.Image,
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decoding_method: str,
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return result
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@spaces.GPU
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def answer_question(
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image: PIL.Image.Image,
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text: str,
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requirements.txt
CHANGED
@@ -1,9 +1,9 @@
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accelerate==0.23.0
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bitsandbytes==0.41.1
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gradio==3.
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huggingface-hub==0.17.
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Pillow==10.0
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scipy==1.11.2
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torch==2.0.0
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torchvision==0.15.1
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transformers==4.
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accelerate==0.23.0
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bitsandbytes==0.41.1
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gradio==3.50.2
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huggingface-hub==0.17.3
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Pillow==10.1.0
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scipy==1.11.2
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torch==2.0.0
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torchvision==0.15.1
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transformers==4.34.1
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