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Create app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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import os
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# Cache pipelines so we don’t reload every call
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pipeline_cache = {}
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def get_generator(model_name):
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if model_name not in pipeline_cache:
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pipeline_cache[model_name] = pipeline(
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"text-generation",
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model=model_name,
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device=0 if os.environ.get("CUDA_VISIBLE_DEVICES") else -1
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)
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return pipeline_cache[model_name]
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def build_prompt(system, examples, query, style):
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# Prefix with system role
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prompt = f"SYSTEM: {system.strip()}\n\n"
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if style == "Zero-Shot":
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prompt += f"USER: {query.strip()}\nASSISTANT:"
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else: # Few-Shot
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# Insert up to three examples
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for ex in examples:
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ex = ex.strip()
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if ex:
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prompt += f"EXAMPLE: {ex}\n"
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prompt += f"USER: {query.strip()}\nASSISTANT:"
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return prompt
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def generate(system, ex1, ex2, ex3, query, model_name, style):
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# Build prompt text
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examples = [ex1, ex2, ex3]
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prompt = build_prompt(system, examples, query, style)
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gen = get_generator(model_name)
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# Generate up to 100 tokens beyond prompt
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out = gen(prompt, max_length=len(prompt.split())+100, do_sample=True)[0]["generated_text"]
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# Strip prompt prefix
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return out[len(prompt):].strip()
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# Available small/medium models on HF Hub
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AVAILABLE_MODELS = [
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"gpt2",
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"EleutherAI/gpt-neo-125M",
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"distilgpt2"
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]
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with gr.Blocks(theme=gr.themes.Default()) as demo:
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gr.Markdown("## 🎮 Prompt Engineering Playground")
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gr.Markdown(
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"Experiment with **Zero-Shot** vs **Few-Shot** prompting across different open models."
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)
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with gr.Row():
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with gr.Column(scale=2):
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system_box = gr.Textbox(
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label="🖥️ System Prompt",
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placeholder="You are a helpful assistant."
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)
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ex1 = gr.Textbox(label="📖 Example 1 (few-shot only)", placeholder="…")
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ex2 = gr.Textbox(label="📖 Example 2 (few-shot only)")
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ex3 = gr.Textbox(label="📖 Example 3 (few-shot only)")
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query_box = gr.Textbox(label="🗣️ User Prompt", placeholder="Type your query here…")
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with gr.Row():
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model_choice = gr.Dropdown(
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choices=AVAILABLE_MODELS,
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value=AVAILABLE_MODELS[0],
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label="🤖 Model"
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)
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style_choice = gr.Radio(
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choices=["Zero-Shot", "Few-Shot"],
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value="Zero-Shot",
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label="🎨 Prompt Style"
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)
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run_btn = gr.Button("🚀 Generate")
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with gr.Column(scale=3):
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output_box = gr.Textbox(
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label="💬 Model Output",
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lines=15
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)
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run_btn.click(
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fn=generate,
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inputs=[system_box, ex1, ex2, ex3, query_box, model_choice, style_choice],
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outputs=output_box
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)
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demo.launch()
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