Update app.py
Browse files
app.py
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@@ -3,27 +3,45 @@ from transformers import pipeline
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# Pre-load multiple models
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models = {
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"TinyBERT (
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"DistilBERT (
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"ALBERT (
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"MobileBERT (
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"GPT-2 (
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}
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def run_model(model_name, text):
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pipe = models[model_name]
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if "GPT-2" in model_name:
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else:
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with gr.Blocks() as demo:
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gr.Markdown("# 🔥 Tiny LLM Playground\nChoose a small model and test it!"
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model_choice = gr.Dropdown(list(models.keys()), label="Choose Model")
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text_input = gr.Textbox(label="Enter text or prompt")
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output = gr.Textbox(label="Output")
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run_btn = gr.Button("Run")
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run_btn.click(fn=run_model, inputs=[model_choice, text_input], outputs=output)
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# Pre-load multiple models
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models = {
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"TinyBERT (Fill Mask)": pipeline("fill-mask", model="prajjwal1/bert-tiny"),
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"DistilBERT (Fill Mask)": pipeline("fill-mask", model="distilbert-base-uncased"),
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"ALBERT (Fill Mask)": pipeline("fill-mask", model="albert-base-v2"),
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"MobileBERT (Fill Mask)": pipeline("fill-mask", model="google/mobilebert-uncased"),
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"GPT-2 (Text Generation)": pipeline("text-generation", model="gpt2")
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}
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def run_model(model_name, text):
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pipe = models[model_name]
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# GPT-2 → freeform text generation
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if "GPT-2" in model_name:
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output = pipe(text, max_length=50, do_sample=True, top_k=50, temperature=0.7)
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return output[0]["generated_text"]
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# Fill-mask models → require [MASK] token
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else:
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if "[MASK]" not in text:
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# If user didn’t include a mask, append one
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text = text.strip()
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if not text.endswith("."):
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text += "."
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text = text[:-1] + " [MASK]."
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preds = pipe(text, top_k=5) # top 5 predictions
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formatted = "\n".join(
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[f"{p['token_str']} (prob={p['score']:.4f})" for p in preds]
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)
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return f"Input: {text}\n\nPredictions:\n{formatted}"
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with gr.Blocks() as demo:
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gr.Markdown("# 🔥 Tiny LLM Playground\nChoose a small model and test it!\n\n"
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"💡 For BERT-style models, you can add `[MASK]` in your text, "
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"or just type normally and I'll add one for you.")
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model_choice = gr.Dropdown(list(models.keys()), label="Choose Model")
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text_input = gr.Textbox(label="Enter text or prompt")
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output = gr.Textbox(label="Output", lines=8)
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run_btn = gr.Button("Run")
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run_btn.click(fn=run_model, inputs=[model_choice, text_input], outputs=output)
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