Update app.py
Browse files
app.py
CHANGED
@@ -21,22 +21,47 @@ def generate_text(input_text, selected_model):
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output = model.generate(input_text, max_tokens=100)
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return output
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model_dropdown = gr.Dropdown(choices=model_choices(),
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explanation = gr.Textbox(label="Model Description", interactive=True, lines=10)
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model_dropdown.change(fn=llm_intro, inputs=model_dropdown, outputs=explanation)
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input_text = gr.Textbox(lines=5, label="Input Text")
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output_text = gr.Textbox(lines=5, label="Generated Text")
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gr.Interface(fn=generate_text,
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output = model.generate(input_text, max_tokens=100)
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return output
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# model_dropdown = gr.Dropdown(choices=model_choices(),
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# multiselect=False,
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# label="LLMs to choose from",
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# type="value",
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# value="orca-mini-3b-gguf2-q4_0.gguf")
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# explanation = gr.Textbox(label="Model Description", interactive=True, lines=10)
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# model_dropdown.change(fn=llm_intro, inputs=model_dropdown, outputs=explanation)
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# input_text = gr.Textbox(lines=5, label="Input Text")
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# output_text = gr.Textbox(lines=5, label="Generated Text")
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# gr.Interface(fn=generate_text,
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# inputs=[input_text, model_dropdown],
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# outputs=output_text,
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# theme = gr.themes.Soft(),
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# analytics_enabled=True,
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# title="GPT4All Text Generation Experiment").launch()
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with gr.Blocks() as demo:
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gr.Markdown("## GPT4All Text Generation Experiment")
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# Dropdown to select model
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model_selection = gr.Dropdown(label="Select an LLM", options=model_choices(), value=next(iter(model_description), None))
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# Textbox to show model description
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explanation = gr.Textbox(label="Model Description", value="Model description", lines=10, readonly=True)
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# Link the dropdown with the textbox to update the description based on the selected model
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model_selection.change(fn=llm_intro, inputs=model_selection, outputs=explanation)
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# Input text for generating text
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input_text = gr.Textbox(lines=10, label="Input Text")
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# Textbox to display generated text
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output_text = gr.Textbox(lines=10, label="Generated Text")
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# Button to generate text
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generate_btn = gr.Button("Generate")
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generate_btn.click(fn=generate_text, inputs=[input_text, model_selection], outputs=output_text)
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demo.launch()
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