Create app.py

app.py

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+import gradio as gr
+from summa import keywords
+
+# Example texts
+EXAMPLES = {
+    "Scientific Abstract": """
+    Compatibility of systems of linear constraints over the set of natural numbers. 
+    Criteria of compatibility of a system of linear Diophantine equations, strict inequations, 
+    and nonstrict inequations are considered. Upper bounds for components of a minimal set of solutions 
+    and algorithms of construction of minimal generating sets of solutions for all types of systems are given.
+    """,
+    "News Article": """
+    Machine learning is revolutionizing the way we interact with technology. 
+    Artificial intelligence systems are becoming more sophisticated, enabling automated decision making 
+    and pattern recognition at unprecedented scales. Deep learning algorithms continue to improve, 
+    making breakthroughs in natural language processing and computer vision.
+    """,
+    "Technical Documentation": """
+    The user interface provides intuitive navigation through contextual menus and adaptive layouts. 
+    System responses are optimized for performance while maintaining high reliability standards. 
+    Database connections are pooled to minimize resource overhead and maximize throughput.
+    """
+}
+
+def extract_keywords(text, num_words, ratio=None):
+    if ratio:
+        # Use ratio method
+        extracted = keywords.keywords(text, ratio=ratio/100.0, split=True)
+    else:
+        # Use words count method
+        extracted = keywords.keywords(text, words=num_words, split=True)
+    
+    # Format output
+    result = []
+    for idx, keyword in enumerate(extracted, 1):
+        result.append(f"{idx}. {keyword}")
+    
+    return "\n".join(result) if result else "No keywords found."
+
+def load_example(example_name):
+    return EXAMPLES.get(example_name, "")
+
+# Create Gradio interface
+with gr.Blocks(title="Keyword Extraction Tool") as demo:
+    gr.Markdown("# 🎯 Smart Keyword Extraction")
+    gr.Markdown("Extract key phrases from text using TextRank algorithm")
+    
+    with gr.Row():
+        with gr.Column(scale=2):
+            input_text = gr.Textbox(
+                label="Input Text",
+                placeholder="Enter your text here...",
+                lines=8
+            )
+            example_dropdown = gr.Dropdown(
+                choices=list(EXAMPLES.keys()),
+                label="Load Example Text"
+            )
+            
+        with gr.Column(scale=1):
+            with gr.Tab("Word Count Method"):
+                num_words = gr.Slider(
+                    minimum=1,
+                    maximum=20,
+                    value=5,
+                    step=1,
+                    label="Number of Keywords"
+                )
+            
+            with gr.Tab("Ratio Method"):
+                ratio = gr.Slider(
+                    minimum=1,
+                    maximum=100,
+                    value=20,
+                    step=1,
+                    label="Percentage of Text to Extract (%)"
+                )
+            
+            extract_btn = gr.Button("Extract Keywords", variant="primary")
+    
+    output_text = gr.Textbox(
+        label="Extracted Keywords",
+        lines=10,
+        interactive=False
+    )
+    
+    # Set up event handlers
+    example_dropdown.change(
+        load_example,
+        inputs=[example_dropdown],
+        outputs=[input_text]
+    )
+    
+    # Handle both word count and ratio methods
+    extract_btn.click(
+        extract_keywords,
+        inputs=[input_text, num_words, ratio],
+        outputs=[output_text]
+    )
+
+# Launch the app
+demo.launch()