Update app.py

app.py

@@ -1,24 +1,18 @@
-import  torch
-import gradio as gr
+import os
 
-# Use a pipeline as a high-level helper
-from transformers import pipeline
-# its its used for local after installing the model
+# Install dependencies manually if not found
+os.system("pip install torch torchvision torchaudio transformers gradio")
 
+import torch
+import gradio as gr
+from transformers import pipeline
 
-# model_path = "../models/models--sshleifer--distilbart-cnn-12-6/snapshots/a4f8f3ea906ed274767e9906dbaede7531d660ff"
-text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6",torch_dtype=torch.bfloat16)
-# text = '''Elon Reeve Musk (/ˈiːlɒn/ EE-lon; born June 28, 1971) is a businessman known for his key roles in Tesla, SpaceX, PayPal, OpenAI, Twitter (which he rebranded as X) and America PAC. Since 2025, he has been a senior advisor to United States president Donald Trump and the de facto head of the Department of Government Efficiency (DOGE). Musk is the wealthiest person in the world; as of March 2025, Forbes estimates his net worth to be US$345 billion. '''
-# print(text_summary(text));
+text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16)
 
-def summary (input):
+def summary(input):
     output = text_summary(input)
     return output[0]['summary_text']
 
-gr.close_all()
-
-# demo = gr.Interface(fn=summary, inputs="text", outputs="text")
-
 demo = gr.Interface(
     fn=summary,
     inputs=[gr.Textbox(label="Input text to summarize", lines=7)],
@@ -26,4 +20,6 @@ demo = gr.Interface(
     title="@cygon: Text summarizer",
     description="SIMPLE UNPAID APPLICATION FOR TEXT SUMMARIZING"
 )
+
 demo.launch()
+