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from llm_helper import llm
from few_shot import FewShotPosts
few_shot = FewShotPosts()
def get_length_str(length):
if length == "Short":
return "1 to 5 lines"
if length == "Medium":
return "6 to 10 lines"
if length == "Long":
return "11 to 15 lines"
def generate_post(length, language, tag):
prompt = get_prompt(length, language, tag)
response = llm.invoke(prompt)
return response.content
def get_prompt(length, language, tag):
length_str = get_length_str(length)
prompt = f'''
Generate a LinkedIn post using the below information. No preamble.
1) Topic: {tag}
2) Length: {length_str}
3) Language: {language}
If Language is Hinglish then it means it is a mix of Hindi and English.
The script for the generated post should always be English.
'''
# prompt = prompt.format(post_topic=tag, post_length=length_str, post_language=language)
examples = few_shot.get_filtered_posts(length, language, tag)
if len(examples) > 0:
prompt += "4) Use the writing style as per the following examples."
for i, post in enumerate(examples):
post_text = post['text']
prompt += f'\n\n Example {i+1}: \n\n {post_text}'
if i == 1: # Use max two samples
break
return prompt
if __name__ == "__main__":
print(generate_post("Medium", "English", "Mental Health")) |