text-summarization-app

app.py

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+from transformers import pipeline
+import gradio as gr
+
+
+get_completion = pipeline("summarization", model="shleifer/distilbart-cnn-12-6")
+
+def summarize(input):
+    output = get_completion(input)
+    return output[0]['summary_text']
+
+
+
+def summarize(input):
+    output = get_completion(input)
+    return output[0]['summary_text']
+    
+gr.close_all()
+demo = gr.Interface(fn=summarize, 
+                    inputs=[gr.Textbox(label="Text to summarize", lines=6)],
+                    outputs=[gr.Textbox(label="Result", lines=3)],
+                    title="Text summarization with distilbart-cnn",
+                    description="Summarize any text using the `shleifer/distilbart-cnn-12-6` model under the hood!"
+                   )
+demo.launch()

env/conda-meta/history

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+==> 2023-08-24 20:08:25 <==
+# cmd: /home/ashutosh/anaconda3/bin/conda create --prefix ./env
+# conda version: 23.7.2

requirements.txt

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+transformers
+torch
+gradio