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Update app.py
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app.py
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@@ -23,8 +23,7 @@ tokenizer = AutoTokenizer.from_pretrained("ManishThota/Thota", trust_remote_code
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def predict_answer(question, max_tokens):
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#Set inputs
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text = f"A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: <image>\n{question}? ASSISTANT:"
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image = image.convert("RGB")
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input_ids = tokenizer(text, return_tensors='pt').input_ids.to('cuda')
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@@ -32,7 +31,6 @@ def predict_answer(question, max_tokens):
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output_ids = model.generate(
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input_ids,
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max_new_tokens=max_tokens,
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images=image_tensor,
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use_cache=True)[0]
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return tokenizer.decode(output_ids[input_ids.shape[1]:], skip_special_tokens=True).strip()
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def predict_answer(question, max_tokens):
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#Set inputs
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text = f"A chat between a curious user and an artificial intelligence assistant whose name is Manish Kumar Thota. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: <image>\n{question}? ASSISTANT:"
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input_ids = tokenizer(text, return_tensors='pt').input_ids.to('cuda')
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output_ids = model.generate(
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input_ids,
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max_new_tokens=max_tokens,
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use_cache=True)[0]
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return tokenizer.decode(output_ids[input_ids.shape[1]:], skip_special_tokens=True).strip()
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