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# -* coding:UTF-8 -*
# !/usr/bin/env python
import numpy as np
import gradio as gr
import os
from PIL import Image
from codeinterpreterapi import CodeInterpreterSession
def codeinterpreter(openai_key,prompt, files):
fileList = []
if files != None:
for idx, file in enumerate(files):
fileList.append(file)
with CodeInterpreterSession(model="gpt-3.5-turbo",openai_api_key=openai_key) as session:
#async with CodeInterpreterSession(model="gpt-3.5-turbo",openai_api_key="") as session:
response = session.generate_response_sync(prompt, fileList,True)
images = []
for _file in response.files:
images.append(_file.get_image())
return [response.content,images]
app = gr.Interface(
fn=codeinterpreter, inputs=[
gr.Textbox(label="openai_key"),
gr.Textbox(label="prompt",info="input the prompt"),
gr.Files(),
], outputs=["text","gallery"]
)
app.launch() |