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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}") | |