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from openai import OpenAI
import gradio
import os
client = OpenAI(
# This is the default and can be omitted
api_key=os.environ["OPENAI_API_KEY"],
)
def chat_with_gpt(prompt):
response = client.chat.completions.create(
model="gpt-4o",
messages = [
{
"role": "system",
"content": [
{
"type": "text",
"text": "You are a helpful election assistant. Can you provide the information of what's on my ballot in a table format? [\"What's on my ballot\", \"Endorsements or race info\"]. For endorsement, use what I care about -- \ngun safety regulation-- to prioritize which candidate supports this value."
}
]
},
{
"role": "user",
"content": [
{
"type": "text",
"text": f"Can you give me ballot info for location in year?"
}
]
}
],
temperature=0,
max_tokens=256,
top_p=1,
frequency_penalty=0,
presence_penalty=0
)
return response.choices[0].message.content.strip()
#if __name__ == "__main__":
# while True:
# user_input = input("You: ")
# if user_input.lower() in ["quit", "exit", "bye"]:
# break
# response = chat_with_gpt(user_input)
#print("Chatbot: ", response)
demo = gradio.Interface(fn=chat_with_gpt, inputs = "text", outputs = "text", title = "Your Voter Guide" )
demo. launch(share =True) |