Update app.py
Browse files
app.py
CHANGED
@@ -6,7 +6,7 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("ping98k/typhoon-7b-rag-instruct-th")
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model = AutoModelForCausalLM.from_pretrained("ping98k/typhoon-7b-rag-instruct-th", device_map={"": 0})
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@spaces.GPU(duration=120)
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def response(instruction, history, inputText):
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inp = f"""### Instruction:
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{instruction}
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@@ -38,9 +38,9 @@ gr.ChatInterface(
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additional_inputs=[
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gr.Textbox(defaultInput, label="Input Text"),
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],
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).launch()
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-
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def response(inp):
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input_ids = tokenizer(inp, return_tensors='pt').to("cuda")
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beam_output = model.generate(**input_ids, max_new_tokens=300)
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@@ -56,4 +56,4 @@ gradio_interface = gr.Interface(
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inputs = "text",
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outputs = "text"
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)
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gradio_interface.launch()
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tokenizer = AutoTokenizer.from_pretrained("ping98k/typhoon-7b-rag-instruct-th")
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model = AutoModelForCausalLM.from_pretrained("ping98k/typhoon-7b-rag-instruct-th", device_map={"": 0})
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'''@spaces.GPU(duration=120)
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def response(instruction, history, inputText):
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inp = f"""### Instruction:
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{instruction}
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additional_inputs=[
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gr.Textbox(defaultInput, label="Input Text"),
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],
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).launch()'''
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@spaces.GPU(duration=120)
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def response(inp):
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input_ids = tokenizer(inp, return_tensors='pt').to("cuda")
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beam_output = model.generate(**input_ids, max_new_tokens=300)
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inputs = "text",
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outputs = "text"
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)
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gradio_interface.launch()
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