it's first commit, for testing model [IDEA-CCNL/Randeng-Pegasus-238M-Summary-Chinese]

app.py

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+import gradio as gr
+import torch
+from tqdm import tqdm
+from transformers import pipeline
+
+MODEL_NAME = "IDEA-CCNL/Randeng-Pegasus-238M-Summary-Chinese"
+
+summarizer = pipeline(
+    task="automatic-speech-recognition",
+    model=MODEL_NAME
+)
+
+
+def summarize(text):
+    return summarizer(text)
+
+
+demo = gr.Blocks(title="⭐ Summ4rizer ⭐")
+demo.encrypt = False
+
+with demo:
+    gr.Markdown(f'''
+                <div>
+                <h1 style='text-align: center'>Text Summarizer</h1>
+                </div>
+                <div>
+                Using summarization Model from <a href='https://huggingface.co/{MODEL_NAME}' target='_blank'><b>{MODEL_NAME}</b></a>.
+                </div>
+                ''')
+    text = gr.Textbox(label="Text here !!", lines=1, interactive=True)
+    summarize_btn = gr.Button("Let's Summarize",)
+    summarization = gr.Textbox()
+    html_output = gr.Markdown()
+    summarize_btn.click(summarize, [text], outputs=[html_output, summarization])
+
+demo.launch()

requirements.txt

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+gradio
+torch
+tqdm
+transformers