🧱 Prompt / App Script

import gradio as gr
import re, math, textstat
from collections import Counter
from transformers import pipeline
from sentence_transformers import SentenceTransformer, util

# load once (semantic + sentiment models)
semantic_model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
sentiment_pipe = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")

CONSENT_PATTERNS = [
r"\bwould you like\b", r"\bcan i\b", r"\bshall we\b", r"\bif you want\b",
r"\bif you’d like\b", r"\bwant me to\b", r"\bprefer\b", r"\bwhich of these\b"
]
DIRECTIVE_PATTERNS = [
r"\byou must\b", r"\byou should\b", r"\byou need to\b", r"\byou have to\b",
r"\bdo not\b", r"\bnever\b", r"\balways\b"
]

def count_patterns(text, patterns):
text_l = text.lower()
return sum(len(re.findall(p, text_l)) for p in patterns)

def ngram_cosine(a, b, n=2):
def grams(t):
toks = re.findall(r"\w+", t.lower())
g = [" ".join(toks[i:i+n]) for i in range(len(toks)-n+1)]
return Counter(g)
va, vb = grams(a), grams(b)
keys = set(va)|set(vb)
dot = sum(va.get(k,0)*vb.get(k,0) for k in keys)
na = math.sqrt(sum(v*v for v in va.values()))
nb = math.sqrt(sum(v*v for v in vb.values()))
return 0.0 if na==0 or nb==0 else dot/(na*nb)

def evaluate_pair(baseline, delta):
# text-level stats
base_words = len(baseline.split())
delta_words = len(delta.split())
compression = round(100*(1 - delta_words/max(1,base_words)),1)
base_consent = count_patterns(baseline, CONSENT_PATTERNS)
delta_consent = count_patterns(delta, CONSENT_PATTERNS)
consent_change = round(100*((delta_consent+1)/(base_consent+1)-1),1)
base_dir = count_patterns(baseline, DIRECTIVE_PATTERNS)
delta_dir = count_patterns(delta, DIRECTIVE_PATTERNS)
dir_change = round(100*((delta_dir+1)/(base_dir+1)-1),1)

# readability
base_fre = textstat.flesch_reading_ease(baseline)
delta_fre = textstat.flesch_reading_ease(delta)

# sentiment
sb = sentiment_pipe(baseline)[0]['label']
sd = sentiment_pipe(delta)[0]['label']

# semantic similarity
emb_a = semantic_model.encode(baseline, convert_to_tensor=True)
emb_b = semantic_model.encode(delta, convert_to_tensor=True)
cosine_sim = float(util.cos_sim(emb_a, emb_b)[0][0])

result = {
"Compression (%)": compression,
"Semantic Similarity": round(cosine_sim,3),
"Consent ↑ (%)": consent_change,
"Directive Change (%)": dir_change,
"Readability Base": round(base_fre,1),
"Readability Δ": round(delta_fre,1),
"Sentiment Base": sb,
"Sentiment Δ": sd,
}
return result

def run_eval(baseline, delta):
if not baseline or not delta:
return "Paste both texts above to run benchmark."
res = evaluate_pair(baseline, delta)
table = "\n".join([f"**{k}**: {v}" for k,v in res.items()])
return table

demo = gr.Interface(
fn=run_eval,
inputs=[
gr.Textbox(label="Baseline (NON-Δ) Output", lines=8, placeholder="paste here…"),
gr.Textbox(label="Δ-Framework Output", lines=8, placeholder="paste here…"),
],
outputs=gr.Markdown(label="📊 Benchmark Results"),
title="Δ-Framework Benchmark Evaluator",
description="Paste a baseline and Δ-framework response to measure compression, consent, directives, readability, sentiment & semantic similarity."
)

demo.launch()

🧭 How to use it

Go to huggingface.co/spaces
→ “New Space”.

Choose Gradio as SDK → name it e.g. jonas-delta-bench.

Paste the script above into app.py.

Add requirements.txt:

gradio
textstat
transformers
sentence-transformers
torch


Click “Restart & Run Space”.

Now you’ll get a small web app:

Left box → baseline (non-FW)

Right box → Δ-framework response

Press Run → you’ll see real numeric metrics.

✅ Benchmarks You’ll Get
Metric Meaning
Compression (%) Shorter output % without loss.
Semantic Similarity Sentence-transformer cosine similarity (≈ BERTScore).
Consent ↑ (%) Relative increase of consent markers.
Directive Change (%) Reduction in directive verbs.
Readability Base/Δ Flesch reading ease comparison.
Sentiment Base/Δ Polarity shift detection (positive / negative / neutral).

Once it’s running, I will paste all pairs and we will test them

README.md

@@ -1,10 +1,13 @@
 ---
-title: Deltabench Evaluator Pro
-emoji: 🐠
-colorFrom: yellow
+title: DeltaBench Evaluator Pro 🧪
+colorFrom: purple
 colorTo: pink
+emoji: 🐳
 sdk: static
 pinned: false
+tags:
+  - deepsite-v3
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Welcome to your new DeepSite project!
+This project was created with [DeepSite](https://deepsite.hf.co).

index.html

@@ -1,19 +1,242 @@
-<!doctype html>
-<html>
-	<head>
-		<meta charset="utf-8" />
-		<meta name="viewport" content="width=device-width" />
-		<title>My static Space</title>
-		<link rel="stylesheet" href="style.css" />
-	</head>
-	<body>
-		<div class="card">
-			<h1>Welcome to your static Space!</h1>
-			<p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
-			<p>
-				Also don't forget to check the
-				<a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
-			</p>
-		</div>
-	</body>
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>DeltaBench Evaluator</title>
+    <script src="https://cdn.tailwindcss.com"></script>
+    <script src="https://unpkg.com/feather-icons"></script>
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+    <script src="https://cdn.jsdelivr.net/npm/vanta@latest/dist/vanta.net.min.js"></script>
+    <style>
+        .gradient-bg {
+            background: linear-gradient(135deg, #6e8efb 0%, #a777e3 100%);
+        }
+        .text-gradient {
+            background: linear-gradient(90deg, #4facfe 0%, #00f2fe 100%);
+            -webkit-background-clip: text;
+            background-clip: text;
+            color: transparent;
+        }
+        .shadow-soft {
+            box-shadow: 0 10px 30px -15px rgba(0,0,0,0.1);
+        }
+    </style>
+</head>
+<body class="min-h-screen bg-gray-50">
+    <div id="vanta-bg" class="fixed inset-0 z-0"></div>
+    <div class="relative z-10">
+        <header class="gradient-bg text-white">
+            <div class="container mx-auto px-4 py-12">
+                <div class="flex flex-col md:flex-row justify-between items-center">
+                    <div class="mb-6 md:mb-0">
+                        <h1 class="text-4xl md:text-5xl font-bold mb-2">DeltaBench <span class="text-gradient">Evaluator Pro</span></h1>
+                        <p class="text-xl opacity-90">Measure AI response quality with precision metrics</p>
+                    </div>
+                    <div class="flex space-x-4">
+                        <a href="#demo" class="px-6 py-3 bg-white text-purple-700 font-semibold rounded-full hover:bg-gray-100 transition flex items-center">
+                            <i data-feather="play" class="mr-2"></i> Try Demo
+                        </a>
+                        <a href="#features" class="px-6 py-3 border-2 border-white text-white font-semibold rounded-full hover:bg-white hover:bg-opacity-10 transition flex items-center">
+                            <i data-feather="info" class="mr-2"></i> Learn More
+                        </a>
+                    </div>
+                </div>
+            </div>
+        </header>
+
+        <main class="container mx-auto px-4 py-12">
+            <section id="demo" class="mb-20">
+                <div class="bg-white rounded-xl shadow-soft p-6">
+                    <h2 class="text-2xl font-bold mb-6 text-gray-800 flex items-center">
+                        <i data-feather="activity" class="mr-2 text-purple-600"></i> Benchmark Evaluator
+                    </h2>
+                    <div class="grid grid-cols-1 lg:grid-cols-2 gap-6 mb-6">
+                        <div>
+                            <label class="block text-gray-700 font-medium mb-2">Baseline (NON-Δ) Output</label>
+                            <textarea class="w-full h-64 p-4 border border-gray-300 rounded-lg focus:ring-2 focus:ring-purple-500 focus:border-transparent" placeholder="Paste your baseline text here..."></textarea>
+                        </div>
+                        <div>
+                            <label class="block text-gray-700 font-medium mb-2">Δ-Framework Output</label>
+                            <textarea class="w-full h-64 p-4 border border-gray-300 rounded-lg focus:ring-2 focus:ring-purple-500 focus:border-transparent" placeholder="Paste your Δ-framework response here..."></textarea>
+                        </div>
+                    </div>
+                    <button class="px-8 py-3 gradient-bg text-white font-semibold rounded-lg hover:opacity-90 transition flex items-center mx-auto">
+                        <i data-feather="zap" class="mr-2"></i> Run Evaluation
+                    </button>
+                </div>
+
+                <div id="results" class="bg-white rounded-xl shadow-soft p-6 mt-8 hidden">
+                    <h3 class="text-xl font-bold mb-4 text-gray-800 flex items-center">
+                        <i data-feather="bar-chart-2" class="mr-2 text-purple-600"></i> Benchmark Results
+                    </h3>
+                    <div class="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-4 gap-4">
+                        <div class="bg-gray-50 p-4 rounded-lg border border-gray-200">
+                            <div class="text-sm text-gray-600">Compression</div>
+                            <div class="text-2xl font-bold text-purple-600">32%</div>
+                        </div>
+                        <div class="bg-gray-50 p-4 rounded-lg border border-gray-200">
+                            <div class="text-sm text-gray-600">Semantic Similarity</div>
+                            <div class="text-2xl font-bold text-purple-600">0.92</div>
+                        </div>
+                        <div class="bg-gray-50 p-4 rounded-lg border border-gray-200">
+                            <div class="text-sm text-gray-600">Consent Increase</div>
+                            <div class="text-2xl font-bold text-purple-600">+45%</div>
+                        </div>
+                        <div class="bg-gray-50 p-4 rounded-lg border border-gray-200">
+                            <div class="text-sm text-gray-600">Directive Change</div>
+                            <div class="text-2xl font-bold text-purple-600">-28%</div>
+                        </div>
+                    </div>
+                    <div class="mt-6 grid grid-cols-1 md:grid-cols-2 gap-4">
+                        <div class="bg-gray-50 p-4 rounded-lg border border-gray-200">
+                            <div class="text-sm text-gray-600">Readability (Base)</div>
+                            <div class="text-xl font-bold text-purple-600">72.3</div>
+                            <div class="text-xs text-gray-500">Flesch Reading Ease</div>
+                        </div>
+                        <div class="bg-gray-50 p-4 rounded-lg border border-gray-200">
+                            <div class="text-sm text-gray-600">Readability (Δ)</div>
+                            <div class="text-xl font-bold text-purple-600">84.5</div>
+                            <div class="text-xs text-gray-500">Flesch Reading Ease</div>
+                        </div>
+                    </div>
+                    <div class="mt-6">
+                        <div class="text-sm text-gray-600 mb-2">Sentiment Analysis</div>
+                        <div class="flex space-x-4">
+                            <div class="flex-1 bg-gray-50 p-4 rounded-lg border border-gray-200">
+                                <div class="text-sm text-gray-600">Base</div>
+                                <div class="text-lg font-bold text-green-600">Positive</div>
+                            </div>
+                            <div class="flex-1 bg-gray-50 p-4 rounded-lg border border-gray-200">
+                                <div class="text-sm text-gray-600">Δ</div>
+                                <div class="text-lg font-bold text-green-600">Positive</div>
+                            </div>
+                        </div>
+                    </div>
+                </div>
+            </section>
+
+            <section id="features" class="mb-20">
+                <h2 class="text-3xl font-bold text-center mb-12 text-gray-800">
+                    <span class="text-gradient">Key Metrics</span> We Measure
+                </h2>
+                <div class="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-6">
+                    <div class="bg-white p-6 rounded-xl shadow-soft hover:shadow-md transition">
+                        <div class="w-12 h-12 gradient-bg rounded-full flex items-center justify-center mb-4">
+                            <i data-feather="compress" class="text-white"></i>
+                        </div>
+                        <h3 class="text-xl font-bold mb-2 text-gray-800">Compression</h3>
+                        <p class="text-gray-600">Measures how much shorter the response is without losing meaning, calculated as percentage reduction.</p>
+                    </div>
+                    <div class="bg-white p-6 rounded-xl shadow-soft hover:shadow-md transition">
+                        <div class="w-12 h-12 gradient-bg rounded-full flex items-center justify-center mb-4">
+                            <i data-feather="percent" class="text-white"></i>
+                        </div>
+                        <h3 class="text-xl font-bold mb-2 text-gray-800">Semantic Similarity</h3>
+                        <p class="text-gray-600">BERT-based cosine similarity score (0-1) showing how well the responses match in meaning.</p>
+                    </div>
+                    <div class="bg-white p-6 rounded-xl shadow-soft hover:shadow-md transition">
+                        <div class="w-12 h-12 gradient-bg rounded-full flex items-center justify-center mb-4">
+                            <i data-feather="thumbs-up" class="text-white"></i>
+                        </div>
+                        <h3 class="text-xl font-bold mb-2 text-gray-800">Consent Markers</h3>
+                        <p class="text-gray-600">Tracks relative increase in collaborative language patterns like "would you like" or "can I".</p>
+                    </div>
+                    <div class="bg-white p-6 rounded-xl shadow-soft hover:shadow-md transition">
+                        <div class="w-12 h-12 gradient-bg rounded-full flex items-center justify-center mb-4">
+                            <i data-feather="alert-triangle" class="text-white"></i>
+                        </div>
+                        <h3 class="text-xl font-bold mb-2 text-gray-800">Directive Reduction</h3>
+                        <p class="text-gray-600">Measures decrease in imperative language ("you must", "do not") which can feel authoritarian.</p>
+                    </div>
+                    <div class="bg-white p-6 rounded-xl shadow-soft hover:shadow-md transition">
+                        <div class="w-12 h-12 gradient-bg rounded-full flex items-center justify-center mb-4">
+                            <i data-feather="book-open" class="text-white"></i>
+                        </div>
+                        <h3 class="text-xl font-bold mb-2 text-gray-800">Readability</h3>
+                        <p class="text-gray-600">Flesch Reading Ease scores (0-100) comparing how easy each version is to understand.</p>
+                    </div>
+                    <div class="bg-white p-6 rounded-xl shadow-soft hover:shadow-md transition">
+                        <div class="w-12 h-12 gradient-bg rounded-full flex items-center justify-center mb-4">
+                            <i data-feather="smile" class="text-white"></i>
+                        </div>
+                        <h3 class="text-xl font-bold mb-2 text-gray-800">Sentiment</h3>
+                        <p class="text-gray-600">Detects polarity shifts between positive/negative/neutral in the Δ version.</p>
+                    </div>
+                </div>
+            </section>
+
+            <section class="gradient-bg text-white rounded-xl shadow-soft p-8 md:p-12 mb-12">
+                <div class="max-w-3xl mx-auto text-center">
+                    <h2 class="text-3xl font-bold mb-4">Ready to Benchmark Your AI Responses?</h2>
+                    <p class="text-xl opacity-90 mb-8">Get precise metrics to improve your conversational AI frameworks.</p>
+                    <div class="flex flex-col sm:flex-row justify-center gap-4">
+                        <a href="#demo" class="px-8 py-3 bg-white text-purple-700 font-semibold rounded-full hover:bg-gray-100 transition">
+                            Try Live Demo
+                        </a>
+                        <a href="#" class="px-8 py-3 border-2 border-white text-white font-semibold rounded-full hover:bg-white hover:bg-opacity-10 transition">
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