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| from transformers import pipeline | |
| # Use a pipeline as a high-level helper | |
| pipe = pipeline("text-generation", model="deepseek-ai/DeepSeek-R1", trust_remote_code=True) | |
| # Function to generate a reply based on user's input email content | |
| def generate_reply(email_content): | |
| messages = [ | |
| {"role": "user", "content": f"Generate a professional email reply to the following email: {email_content}"} | |
| ] | |
| # Get the reply from the model | |
| reply = pipe(messages) | |
| return reply[0]['generated_text'] | |
| # Example usage | |
| user_email = "Dear team, I hope this email finds you well. Could you provide an update on the project status?" | |
| generated_reply = generate_reply(user_email) | |
| print(f"Generated Reply: {generated_reply}") | |