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Update app.py
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app.py
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import torch
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from transformers import LlamaTokenizer, LlamaForCausalLM
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tokenizer = LlamaTokenizer.from_pretrained('sarvamai/OpenHathi-7B-Hi-v0.1-Base')
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model = LlamaForCausalLM.from_pretrained('sarvamai/OpenHathi-7B-Hi-v0.1-Base', torch_dtype=torch.bfloat16)
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prompt = "मैं एक अच्छा हाथी हूँ"
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inputs = tokenizer(prompt, return_tensors="pt")
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# Generate
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generate_ids = model.generate(inputs.input_ids, max_length=30)
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tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
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#import torch
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#from transformers import LlamaTokenizer, LlamaForCausalLM
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#tokenizer = LlamaTokenizer.from_pretrained('sarvamai/OpenHathi-7B-Hi-v0.1-Base')
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#model = LlamaForCausalLM.from_pretrained('sarvamai/OpenHathi-7B-Hi-v0.1-Base', torch_dtype=torch.bfloat16)
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#prompt = "मैं एक अच्छा हाथी हूँ"
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#inputs = tokenizer(prompt, return_tensors="pt")
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# Generate
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#generate_ids = model.generate(inputs.input_ids, max_length=30)
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#tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
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import gradio as gr
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gr.load("models/sarvamai/OpenHathi-7B-Hi-v0.1-Base").launch()
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