uploading two files..

app.py

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+from datasets import load_dataset
+from transformers import pipeline
+
+#loading the dataset
+xsum_dataset = load_dataset(
+    "xsum",
+    version="1.2.0",
+    cache_dir='/Documents/Huggin_Face/data'
+)  # Note: We specify cache_dir to use predownloaded data.
+xsum_dataset
+# The printed representation of this object shows the `num_rows`
+# of each dataset split.
+
+summarizer = pipeline(
+    task="summarization",
+    model="t5-small",
+    min_length=20,
+    max_length=40,
+    truncation=True,
+    model_kwargs={"cache_dir": '/Documents/Huggin_Face/'},
+)  # Note: We specify cache_dir to use predownloaded models.
+
+def input_func(input_text):
+  input_text = input("Enter the text you want to summarize: ")
+
+# Generate the summary
+  summary = summarizer(input_text, max_length=10000, min_length=30, do_sample=False)[0]['summary_text']
+
+  bullet_points = summary.split(". ")
+
+  for point in bullet_points:
+    print(f"- {point}")
+
+# Print the generated summary
+ return ("Summary:", summary)
+
+
+iface = gr.Interface(fn = input_func, 
+                     inputs = [ 
+                               gr.inputs.Textbox(lines=5, placeholder="Enter your text here...", label="input_text")],
+                     outputs="text",
+                     )
+
+iface.launch()

requirements.txt

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+torch
+transformers
+sacremoses==0.0.53
+datasets
+torch torchvision torchaudio