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from openai import OpenAI
import gradio as gr
import os
messages = [{"role": "system", "content": "You are a fashion expert that provides complete answers within few words and suggest types of accesories, colors, clothes, patterns, cloth material, styling etc"} ]
key = os.getenv('api')
client = OpenAI(api_key = key)
def Chat(text):
user_dict = {"role": "user", "content" : text}
messages.append(user_dict)
completion = client.chat.completions.create(
model = "gpt-4o-mini-2024-07-18",
messages = messages,
max_tokens = 200,
temperature = 1.3
)
response = completion.choices[0].message.content
messages.append({"role": "assistant", "content": response})
return response
demo = gr.Interface(
fn = Chat,
inputs = [gr.Textbox(lines = 5, label ="Fashion awaits—ask, and unveil!")],
outputs = gr.Textbox(label = "Wait is over, fashion unfolding")
)
demo.launch()
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