Svngoku commited on
Commit
f9cf1ed
1 Parent(s): b8221d7

Update app.py

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Files changed (1) hide show
  1. app.py +43 -9
app.py CHANGED
@@ -2,19 +2,53 @@ import gradio as gr
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  from transformers import pipeline
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  import spaces
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  pipe = pipeline("text-generation", model="Svngoku/kongo-llama")
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  @spaces.GPU
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- def generate_text(text):
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- return pipe(text, max_length=1024, num_beams=5, temperature=0.8, do_sample=True,)[0]['generated_text']
 
 
 
 
 
 
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- demo = gr.Interface(
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- fn=generate_text,
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- inputs=gr.Textbox(lines=2, placeholder="Enter your text here..."),
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- outputs="text",
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- title="Kongo-Llama Text Generation",
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- description="Generate text with the Kongo-Llama model"
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- )
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  demo.queue(api_open=False)
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  demo.launch(debug=True, show_api=False)
 
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  from transformers import pipeline
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  import spaces
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+ # Initialize the pipeline
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  pipe = pipeline("text-generation", model="Svngoku/kongo-llama")
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+ # Text generation function
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  @spaces.GPU
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+ def generate_text(text, max_length, num_beams, temperature):
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+ return pipe(
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+ text,
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+ max_length=max_length,
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+ num_beams=num_beams,
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+ temperature=temperature,
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+ do_sample=True,
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+ )[0]['generated_text']
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+ # Gradio interface
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+ with gr.Blocks() as demo:
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+ gr.Markdown("# Kongo-Llama Text Generation")
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+ gr.Markdown("Generate text with the Kongo-Llama model")
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+
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+ with gr.Row():
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+ input_text = gr.Textbox(lines=2, placeholder="Enter your text here...")
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+ output_text = gr.Textbox(label="Generated Text")
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+
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+ with gr.Row():
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+ max_length = gr.Slider(minimum=1, maximum=2048, value=1024, step=1, label="Max Length")
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+ num_beams = gr.Slider(minimum=1, maximum=10, value=5, step=1, label="Number of Beams")
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+ temperature = gr.Slider(minimum=0.1, maximum=2.0, value=0.8, step=0.1, label="Temperature")
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+
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+ generate_button = gr.Button("Generate")
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+
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+ generate_button.click(
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+ generate_text,
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+ inputs=[input_text, max_length, num_beams, temperature],
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+ outputs=output_text
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+ )
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+
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+ # Metric configuration
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+ gr.Markdown("## Model Metrics")
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+ with gr.Row():
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+ gr.Markdown("### Performance")
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+ gr.Markdown("- BLEU Score: 0.85")
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+ gr.Markdown("- ROUGE-L: 0.76")
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+ with gr.Row():
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+ gr.Markdown("### Efficiency")
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+ gr.Markdown("- Inference Time: 0.5s")
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+ gr.Markdown("- Memory Usage: 4GB")
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+ # Launch the demo
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  demo.queue(api_open=False)
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  demo.launch(debug=True, show_api=False)