Adding application file

app.py

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+import gradio as gr
+from transformers import pipeline
+
+def summarizer(sentence, min_length, max_length):
+    model_name = "/home/airrstorm/Documents/Python/Hugging-Face/Models/T5-Small-XSUM-Summarizer"
+
+    # Create a summarization pipeline with the local model
+    summarizer = pipeline("summarization", model=model_name, tokenizer=model_name)
+
+    summary = summarizer(
+        sentence, 
+        max_length=int(max_length),  # Convert to int for Gradio input compatibility
+        min_length=int(min_length),  # Convert to int for Gradio input compatibility
+        length_penalty=1.2,  # Length penalty for beam search
+        num_beams=4,  # Number of beams for beam search
+        early_stopping=True  # Stop early when an optimal summary is found
+    )
+    return summary[0]["summary_text"]
+
+# Define inputs for the Gradio interface with better layout and styling
+inputs = [
+    gr.Textbox(
+        label="Input Text",
+        lines=10, 
+        placeholder="Enter the text to summarize here...",
+        interactive=True,
+        elem_id="input_text_box"
+    ),
+    gr.Number(
+        label="Minimum Length",
+        value=50, 
+        precision=0,
+        interactive=True,
+        elem_id="min_length"
+    ),
+    gr.Number(
+        label="Maximum Length",
+        value=200, 
+        precision=0,
+        interactive=True,
+        elem_id="max_length"
+    ),
+]
+
+# Define the Gradio interface
+demo = gr.Interface(
+    fn=summarizer,
+    inputs=inputs,
+    outputs=gr.Textbox(
+        label="Summary", 
+        lines=6, 
+        placeholder="Your summary will appear here.",
+        interactive=False,
+        elem_id="output_summary"
+    ),
+    title="Text Summarization Tool",
+    description="Provide a text input, specify the minimum and maximum lengths for the summary, and get a concise version of your text.",
+    theme="huggingface",  # Optional, you can change to other themes like 'compact'
+    allow_flagging="never",  # Disable flagging
+)
+
+# Launch the interface with shareable link
+demo.launch(share=True)

requirements.txt

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+transformers
+torch
+SentencePiece
+sacremoses