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65 lines
3.0 KiB
65 lines
3.0 KiB
from swarms.models import OpenAIChat # Replace with your actual OpenAIChat import
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from termcolor import colored
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class MultiTempAgent:
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def __init__(self, api_key, default_temp=0.5, alt_temps=None, auto_select=True):
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self.api_key = api_key
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self.default_temp = default_temp
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self.alt_temps = alt_temps if alt_temps else [0.1, 0.3, 0.7, 0.9] # Default alternative temperatures
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self.auto_select = auto_select
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def ask_user_feedback(self, text):
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print(colored("Generated text:", "green"))
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print(colored(text, "white"))
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feedback = input(colored("Are you satisfied with this output? (yes/no): ", "green"))
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return feedback.lower() == 'yes'
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def present_options_to_user(self, outputs):
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print(colored("Alternative outputs:", "green"))
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for temp, output in outputs.items():
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print(colored(f"Temperature {temp}:", "green") + colored(f" {output}", "blue"))
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chosen_temp = float(input(colored("Choose the temperature of the output you like: ", "green")))
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return outputs.get(chosen_temp, "Invalid temperature chosen.")
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def run(self, prompt):
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try:
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llm = OpenAIChat(openai_api_key=self.api_key, temperature=self.default_temp)
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initial_output = llm(prompt)
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except Exception as e:
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print(colored(f"Error generating initial output: {e}", "red"))
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initial_output = None
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user_satisfied = self.ask_user_feedback(initial_output)
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if user_satisfied:
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return initial_output
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else:
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outputs = {}
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scores = {}
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for temp in self.alt_temps:
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try:
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llm = OpenAIChat(openai_api_key=self.api_key, temperature=temp)
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outputs[temp] = llm(prompt)
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eval_prompt = f"Rate the quality of the following output for our specific task on a scale from 1 to 10. Output only an integer. The output is: {outputs[temp]}"
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score_str = llm(eval_prompt)
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scores[temp] = int(score_str.strip())
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except Exception as e:
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print(colored(f"Error generating text at temperature {temp}: {e}", "red"))
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outputs[temp] = None
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scores[temp] = 0
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if self.auto_select:
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best_temp = max(scores, key=scores.get)
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print(colored(f"Automatically selected output from Temperature {best_temp}:", "green"))
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print(colored(outputs[best_temp], "white"))
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return outputs[best_temp]
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else:
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chosen_output = self.present_options_to_user(outputs)
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return chosen_output
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if __name__ == "__main__":
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api_key = "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" # Your OpenAI API key here
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agent = MultiTempAgent(api_key, auto_select=True) # Set auto_select to False if you want manual selection
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prompt = "Write a creative short story about a purple dragon"
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final_output = agent.run(prompt)
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