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Update app.py
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app.py
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@@ -8,7 +8,7 @@ from huggingface_hub import hf_hub_download #load from huggingfaces
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llm = Llama(model_path= hf_hub_download(repo_id="TheBloke/Vigogne-2-7B-Instruct-GGML", filename="vigogne-2-7b-instruct.ggmlv3.q4_1.bin"), n_ctx=2048) #download model from hf/ n_ctx=2048 for high ccontext length
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description = " Bro i dont want learn! i just want results
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def generate_text(input_text):
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output = llm(f"Q: {input_text} \n A:", max_tokens=521, stop=["Q:", "\n"], echo=True,)
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return output['choices'][0]['text']
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@@ -17,6 +17,6 @@ def generate_text(input_text):
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input_text = gr.inputs.Textbox(lines= 10, label="Enter your input text")
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output_text = gr.outputs.Textbox(label="Output text")
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demo = gr.Interface(fn=generate_text, inputs=input_text, outputs=output_text, title="Running Llama on CPU is Hard", description=description
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demo.queue()
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demo.launch()
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llm = Llama(model_path= hf_hub_download(repo_id="TheBloke/Vigogne-2-7B-Instruct-GGML", filename="vigogne-2-7b-instruct.ggmlv3.q4_1.bin"), n_ctx=2048) #download model from hf/ n_ctx=2048 for high ccontext length
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description = " Bro i dont want learn! i just want results(https://github.com/abetlen/llama-cpp-python)"
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def generate_text(input_text):
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output = llm(f"Q: {input_text} \n A:", max_tokens=521, stop=["Q:", "\n"], echo=True,)
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return output['choices'][0]['text']
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input_text = gr.inputs.Textbox(lines= 10, label="Enter your input text")
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output_text = gr.outputs.Textbox(label="Output text")
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demo = gr.Interface(fn=generate_text, inputs=input_text, outputs=output_text, title="Running Llama on CPU is Hard", description=description)
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demo.queue()
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demo.launch()
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