mayankchugh-learning
commited on
Commit
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4cd520b
1
Parent(s):
73cf229
Update app.py
Browse files
app.py
CHANGED
@@ -3,6 +3,28 @@ from transformers import pipeline
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import torch
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import gradio as gr
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text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16)
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# model_path = "Model/models--sshleifer--distilbart-cnn-12-6/snapshots/a4f8f3ea906ed274767e9906dbaede7531d660ff"
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@@ -25,6 +47,17 @@ text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6",
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def summary(input):
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output = text_summary(input)
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return output[0]['summary_text']
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gr.close_all()
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import torch
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import gradio as gr
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from huggingface_hub import CommitScheduler
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from pathlib import Path
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import os
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import uuid
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import joblib
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import json
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# Prepare the logging functionality
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log_file = Path("logs/") / f"data_{uuid.uuid4()}.json"
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log_folder = log_file.parent
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scheduler = CommitScheduler(
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repo_id="text-summarization-logs",
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repo_type="dataset",
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folder_path=log_folder,
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path_in_repo="data",
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every=2
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)
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text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16)
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# model_path = "Model/models--sshleifer--distilbart-cnn-12-6/snapshots/a4f8f3ea906ed274767e9906dbaede7531d660ff"
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def summary(input):
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output = text_summary(input)
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with scheduler.lock:
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with log_file.open("a") as f:
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f.write(json.dumps(
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{
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'Input Text': input,
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'Summary':output[0]['summary_text']
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}
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))
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f.write("\n")
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return output[0]['summary_text']
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gr.close_all()
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