adds summariser script

app.py

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+import gradio as gr
+from transformers import pipeline
+
+def summarize_text(input_text):
+    """
+    Function to summarize the input text using a Hugging Face transformers pipeline.
+
+    Args:
+    input_text (str): Text to be summarized.
+
+    Returns:
+    str: Summarized text.
+    """
+    # Load the summarization pipeline using a specific model from Hugging Face
+    summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
+    # Summarize the text
+    summary = summarizer(input_text, max_length=130, min_length=30, do_sample=False)
+    # Extract and return the summarized text
+    return summary[0]['summary_text']
+
+def main():
+    """
+    Main function to launch the Gradio interface.
+    """
+    # Define the Gradio interface
+    interface = gr.Interface(
+        fn=summarize_text,
+        inputs=gr.Textbox(lines=10, placeholder="Enter text here to summarize..."),
+        outputs="text",
+        title="Text Summarizer",
+        description="A simple text summarization app using Hugging Face's transformers. Enter your text and get a summarized version instantly!"
+    )
+    # Launch the app
+    interface.launch()
+
+if __name__ == "__main__":
+    main()

pyproject.toml

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+[tool.poetry]
+name = "summarization"
+version = "0.1.0"
+description = ""
+authors = ["Kabeer Akande <46060542+kbakande@users.noreply.github.com>"]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.11"
+transformers = "^4.40.2"
+gradio = "^4.31.0"
+torch = "^2.3.0"
+
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

requirement.txt

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+transformers
+gradio
+torch