Application file and dependencies

app.py

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+# For this demo we're using Gradio, Hugging Face Spaces, Pytorch and Hugging Face Transformers
+import gradio as gr
+from gradio.mix import Parallel, Series
+
+# Summarizes Meeting Transcripts using Google Research's PEGASUS library 
+summarizer = gr.Interface.load("huggingface/google/pegasus-cnn_dailymail")
+output_text = gr.outputs.Textbox()
+
+# Displays the end results to a webpage (i.e. here HuggingFace Spaces)
+
+Series(summarizer, inputs = gr.inputs.Textbox(lines=10, label="Meeting Transcript")).launch()

requirements.txt

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+torch
+torchaudio
+torchvision
+transformers
+gradio