Update app.py

app.py

@@ -0,0 +1,23 @@
+import torch
+import gradio as gr
+from transformers import pipeline
+
+text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16)
+
+
+# model_path = ("../Models/models--sshleifer--distilbart-cnn-12-6/snapshots"
+#               "/a4f8f3ea906ed274767e9906dbaede7531d660ff")
+
+def summary(input_text):
+    output = text_summary(input_text)
+    return output[0]['summary_text']
+
+
+gr.close_all()
+
+demo = gr.Interface(fn=summary,
+                    inputs=[gr.Textbox(label="Input text to summarize", lines=6)],
+                    outputs=[gr.Textbox(label="Summarized text", lines=4)],
+                    title="@CreativeAI Studio India: Text Summarizer",
+                    description="THIS APPLICATION WILL BE USED TO SUMMARIZE THE TEXT")
+demo.launch()