groq factchecker llm

groqfactcheckerllm.py

from groq import Groq
#Give me list of built-in python libraries for UI that require no installation in cross-platform way
# who were all characters in Serial Experiments Lain anime
# what was the first version of python?
# Initialize the Groq client
api_key = "gsk_"
client = Groq(api_key=api_key)

# User input
prompt = input("Enter your statement: ")
initial_prompt = prompt
# Start with the user input
current_prompt = prompt

# Loop for 10 iterations, appending "check facts"
for i in range(15):
    # Create completion request to Groq with appended "check facts"
    completion = client.chat.completions.create(
        model="llama3-8b-8192",
        messages=[{"role": "user", "content": current_prompt + " check facts" + " Provide me only with correct answers to " + initial_prompt}],
        temperature=1,
        max_tokens=7999,
        top_p=1,
        stream=False,
        stop=None,
    )

    # Get the output from the model correctly
    output = completion.choices[0].message.content  # Accessing content directly

    # Print the output
    print(f"Iteration {i+1}: {output}")

    # Set the output as the new prompt for the next iteration
    current_prompt = output

# Final iteration, appending "Provide me only with correct answers"
completion = client.chat.completions.create(
    model="llama3-8b-8192",
    messages=[{"role": "user", "content": current_prompt + " Provide me only with correct answers to " + initial_prompt}],
    temperature=0.5,
    max_tokens=1024,
    top_p=1,
    stream=False,
    stop=None,
)
# messages=[{"role": "user", "content": current_prompt + " Provide me only with correct answers to " + initial_prompt + "Provide with explanation for each."}],
# Get the final output from the model
print("-----------------------------\n")
final_output = completion.choices[0].message.content  # Accessing content correctly

# Print the final output
print("Final Iteration (Provide correct answers):", final_output)

V2groqfactcheckerllm.py

from groq import Groq
#Give me list of built-in python libraries for UI that require no installation in cross-platform way
# who were all characters in Serial Experiments Lain anime
# what was the first version of python?
# Initialize the Groq client
api_key = "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"
client = Groq(api_key=api_key)

# User input
prompt = input("Enter your statement: ")
initial_prompt = prompt
# Start with the user input
current_prompt = prompt

# Loop for 10 iterations, appending "check facts"
for i in range(15):
    # Create completion request to Groq with appended "check facts"
    completion = client.chat.completions.create(
        model="llama-3.1-8b-instant",
        messages=[{"role": "user", "content": current_prompt + " check facts" + " Provide me only with correct answers to " + initial_prompt}],
        temperature=1,
        max_tokens=7999,
        top_p=1,
        stream=False,
        stop=None,
    )

    # Get the output from the model correctly
    output = completion.choices[0].message.content  # Accessing content directly

    # Print the output
    import os
    os.system('cls')
    print(f"Iteration {i+1}: {output}")

    # Set the output as the new prompt for the next iteration
    current_prompt = output

# Final iteration, appending "Provide me only with correct answers"
completion = client.chat.completions.create(
    model="llama3-8b-8192",
    messages=[{"role": "user", "content": current_prompt + " Tell me why and Provide me only with correct answers or select answer to " + initial_prompt}],
    temperature=0.5,
    max_tokens=1024,
    top_p=1,
    stream=False,
    stop=None,
)
# messages=[{"role": "user", "content": current_prompt + " Provide me only with correct answers to " + initial_prompt + "Provide with explanation for each."}],
# Get the final output from the model
print("-----------------------------\n")
final_output = completion.choices[0].message.content  # Accessing content correctly

# Print the final output
print("Final Iteration (Provide correct answers):", final_output)