Update src/interface.py
Browse files- src/interface.py +7 -18
src/interface.py
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import csv
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import gradio as gr
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# Gradio application setup
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def create_demo():
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with gr.Blocks(title="LLAMA 3 Rag
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# App Description
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gr.Markdown(
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"""
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## LLAMA 3 Rag
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This application allows you to experiment with LLAMA 3 8B Instruct model for RAG.
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You can adjust various parameters to control the model's output.
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Original https://huggingface.co/spaces/ModularityAI/LLama3Rag
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experimented on making RAG for long pdf documents
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"""
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)
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with gr.Column(scale=0.05):
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with gr.Row():
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slider_chunk_size = gr.Slider(
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minimum=256, maximum=
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)
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with gr.Row():
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slider_overlap_percentage = gr.Slider(
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)
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with gr.Row():
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slider_k = gr.Slider(
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minimum=1, step=1,maximum=
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)
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# Input and Submit Button Row
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submit_button = gr.Button('Send')
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with gr.Column(scale=0.20):
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uploaded_pdf = gr.UploadButton("📁 Upload PDF", file_types=[".pdf"], elem_id='upload_pdf')
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#NEW
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with gr.Column(scale=0.20):
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download_chat_history = gr.DownloadButton('Download chat History')
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#NEW
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return demo, chat_history, show_img, text_input, submit_button, uploaded_pdf, download_chat_history, slider_chunk_size,slider_overlap_percentage,slider_temp,slider_k
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if __name__ == '__main__':
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demo, chatbot, show_img, text_input, submit_button, uploaded_pdf,
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demo.queue()
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demo.launch()
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import gradio as gr
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# Gradio application setup
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def create_demo():
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with gr.Blocks(title="LLAMA 3 Rag on Fly", theme="Monochrome") as demo:
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# App Description
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gr.Markdown(
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"""
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## LLAMA 3 Rag on Fly App
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This application allows you to experiment with LLAMA 3 8B Instruct model for RAG.
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You can adjust various parameters to control the model's output.
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"""
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)
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with gr.Column(scale=0.05):
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with gr.Row():
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slider_chunk_size = gr.Slider(
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minimum=256, maximum=1024, value=256, label="Chunk Size", elem_id='slider1'
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)
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with gr.Row():
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slider_overlap_percentage = gr.Slider(
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)
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with gr.Row():
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slider_k = gr.Slider(
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minimum=1, step=1,maximum=5, value=2, label="Max Chunks in Context", elem_id='slider2'
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)
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# Input and Submit Button Row
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submit_button = gr.Button('Send')
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with gr.Column(scale=0.20):
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uploaded_pdf = gr.UploadButton("📁 Upload PDF", file_types=[".pdf"], elem_id='upload_pdf')
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return demo, chat_history, show_img, text_input, submit_button, uploaded_pdf, slider_chunk_size,slider_overlap_percentage,slider_temp,slider_k
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if __name__ == '__main__':
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demo, chatbot, show_img, text_input, submit_button, uploaded_pdf, slider_chunk_size,slider_overlap_percentage,slider_temp,slider_k = create_demo()
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demo.queue()
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demo.launch()
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