Create app.py

app.py

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+# ========================================
+# TEXT SUMMARIZER WITH CONTROLS
+# ========================================
+# This Space summarizes long text into a short
+# version. Unlike the text generator, this model
+# CONDENSES — it reads everything and picks out
+# the key points. Both are generative models:
+# one creates from scratch, this one rewrites shorter.
+#
+# Hyperparameters (the controls):
+# - Max length: how long the summary can be
+# - Min length: how short it's allowed to be
+# ========================================
+
+import gradio as gr
+from transformers import pipeline
+
+# Distilled summarization model — works on free CPU
+summarizer = pipeline(
+    "summarization",
+    model="sshleifer/distilbart-cnn-6-6",
+)
+
+
+def summarize(text, max_length, min_length):
+    if not text or not text.strip():
+        return "Paste some text above to summarize!"
+
+    word_count = len(text.split())
+    if word_count < 30:
+        return "The text is too short to summarize — try pasting something longer (at least a paragraph)."
+
+    # Make sure min doesn't exceed max
+    min_length = min(min_length, max_length - 10)
+    if min_length < 10:
+        min_length = 10
+
+    result = summarizer(
+        text[:1024],
+        max_length=max_length,
+        min_length=min_length,
+        do_sample=False,
+    )
+
+    summary = result[0]["summary_text"]
+    summary_words = len(summary.split())
+
+    return (
+        f"{summary}\n\n"
+        f"---\n"
+        f"Original: {word_count} words → Summary: {summary_words} words "
+        f"({summary_words / word_count:.0%} of original)"
+    )
+
+
+demo = gr.Interface(
+    fn=summarize,
+    inputs=[
+        gr.Textbox(
+            lines=10,
+            placeholder="Paste an article, essay, or long text here...",
+            label="Text to Summarize",
+        ),
+        gr.Slider(
+            minimum=30,
+            maximum=200,
+            value=100,
+            step=10,
+            label="Max Summary Length (tokens)",
+        ),
+        gr.Slider(
+            minimum=10,
+            maximum=100,
+            value=25,
+            step=5,
+            label="Min Summary Length (tokens)",
+        ),
+    ],
+    outputs=gr.Textbox(label="Summary", lines=6),
+    title="Quick Summarizer",
+    description=(
+        "Paste a long article or essay and get a short summary. "
+        "Use the sliders to control how long or short the summary is. "
+        "The AI reads the whole thing and picks out the key points."
+    ),
+    examples=[
+        [
+            "Artificial intelligence has transformed many industries over the past decade. "
+            "In healthcare, AI systems can now detect diseases from medical images with "
+            "accuracy rivaling human doctors. In finance, algorithmic trading powered by "
+            "machine learning processes millions of transactions per second. Education is "
+            "also being reshaped, with AI tutors providing personalized learning experiences "
+            "for students around the world. However, these advances come with significant "
+            "challenges. Privacy concerns arise when AI systems require vast amounts of "
+            "personal data. Job displacement remains a worry as automation replaces routine "
+            "tasks. And bias in AI systems can perpetuate or even amplify existing social "
+            "inequalities. Addressing these challenges while harnessing AI's potential will "
+            "be one of the defining tasks of our generation.",
+            100,
+            25,
+        ],
+        [
+            "The patient presented to the emergency department with acute onset of "
+            "substernal chest pain radiating to the left arm, accompanied by diaphoresis "
+            "and shortness of breath. Initial ECG showed ST-segment elevation in leads "
+            "II, III, and aVF, consistent with inferior myocardial infarction. Troponin "
+            "levels were elevated at 2.4 ng/mL. The patient was started on dual "
+            "antiplatelet therapy and heparin infusion, and cardiology was consulted for "
+            "emergent cardiac catheterization. Past medical history is significant for "
+            "hypertension, type 2 diabetes mellitus, and hyperlipidemia. The patient "
+            "reports a 30-pack-year smoking history.",
+            60,
+            20,
+        ],
+        [
+            "The Legend of Zelda series has captivated gamers for nearly four decades "
+            "with its unique blend of exploration, puzzle-solving, and combat. Starting "
+            "with the original 1986 NES title, the franchise established a template for "
+            "action-adventure games that continues to influence game design today. Each "
+            "entry reimagines the core formula while maintaining the series' identity: "
+            "a young hero named Link must rescue Princess Zelda and defeat the villain "
+            "Ganondorf across a sprawling fantasy world. The 2017 release of Breath of "
+            "the Wild revolutionized open-world game design by giving players complete "
+            "freedom to explore Hyrule in any order, solving puzzles with emergent physics "
+            "systems rather than predetermined solutions. Its 2023 sequel, Tears of the "
+            "Kingdom, expanded on this foundation by adding the ability to build and "
+            "combine objects, creating an unprecedented sandbox within a narrative-driven "
+            "adventure game.",
+            100,
+            25,
+        ],
+    ],
+)
+
+demo.launch()