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Duplicate from abhishekmamdapure/llama-cpp-python

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Co-authored-by: Abhishek Mamdapure <[email protected]>

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  1. .gitattributes +34 -0
  2. README.md +13 -0
  3. app.py +22 -0
  4. ggml-alpaca-7b-q4.bin +3 -0
  5. requirements.txt +1 -0
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README.md ADDED
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+ ---
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+ title: Llama Cpp Python
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+ emoji: 📈
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+ colorFrom: pink
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+ colorTo: red
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+ sdk: gradio
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+ sdk_version: 3.28.1
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+ app_file: app.py
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+ pinned: false
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+ duplicated_from: abhishekmamdapure/llama-cpp-python
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
app.py ADDED
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+ import gradio as gr
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+ from llama_cpp import Llama
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+
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+ llm = Llama(model_path="ggml-alpaca-7b-q4.bin")
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+
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+ def generate_text(input_text):
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+ output = llm(f"Q: {input_text} A:", max_tokens=256, stop=["Q:", "\n"], echo=True)
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+ return output['choices'][0]['text']
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+
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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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+
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+ description = "llama.cpp implementation in python [https://github.com/abetlen/llama-cpp-python]"
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+
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+ examples = [
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+ ["What is the capital of France? ", "The capital of France is Paris."],
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+ ["Who wrote the novel 'Pride and Prejudice'?", "The novel 'Pride and Prejudice' was written by Jane Austen."],
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+ ["What is the square root of 64?", "The square root of 64 is 8."]
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+ ]
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+
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+ gr.Interface(fn=generate_text, inputs=input_text, outputs=output_text, title="Llama Language Model", description=description, examples=examples).launch()
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+
ggml-alpaca-7b-q4.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:9c1bb4808f40aa0059d5343d3aac05fb75d368c240b664878d53d16bf27ade2b
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+ size 4212727017
requirements.txt ADDED
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+ llama-cpp-python