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Update app.py
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app.py
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model_path = '/content/drive/MyDrive/ahsan'
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# Load the fine-tuned model and tokenizer
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model = AutoModelForSeq2SeqLM.from_pretrained(model_path)
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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summarizer = pipeline("summarization", model=model, tokenizer=tokenizer)
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In an alert posted at 7:38pm, the Karachi Traffic Police s aid Ziauddin Ahmed road going towards PIDC Chowk to the State Life Building was opened for one-track traffic coming and going.
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Sindh Chief Minister Murad Ali Shah took notice of the traffic situation and ordered the administration, district and traffic police to open roads for traffic.
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He also instructed that traffic management in the city be improved and further directed that the CM Secretariat be reported to after the opening of roads.
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"""
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# Perform summarization
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summary = summarizer(input_text, max_length=50, min_length=20, length_penalty=2.0)
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# Print the generated summary
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print("Summary:", summary[0]['summary_text'])
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from transformers import pipeline, AutoModelForSeq2SeqLM, AutoTokenizer
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from flask import Flask, request, jsonify
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app = Flask(__name__)
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# Load the fine-tuned model and tokenizer
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model_path = '/content/drive/MyDrive/ahsan' # Replace with the path to your model
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model = AutoModelForSeq2SeqLM.from_pretrained(model_path)
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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summarizer = pipeline("summarization", model=model, tokenizer=tokenizer)
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@app.route('/summarize', methods=['POST'])
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def summarize():
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data = request.json
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input_text = data.get('text', '')
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summary = summarizer(input_text, max_length=50, min_length=20, length_penalty=2.0)
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return jsonify({"summary": summary[0]['summary_text']})
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=5000)
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