Create app.py
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app.py
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import gradio as gr
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import openai
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import matplotlib.pyplot as plt
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import io
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import numpy as np
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import base64
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from PIL import Image
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# 将图像转换为 base64,以便在 gradio 中显示
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def get_image_data(plt):
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buf = io.BytesIO()
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plt.savefig(buf, format='PNG')
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buf.seek(0)
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img = Image.open(buf)
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return img
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# 执行 Python 代码并生成图像
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def execute_code(code):
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exec(code)
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return get_image_data(plt)
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openai.api_key = 'your-openai-key'
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def gpt3_inference(prompt):
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response = openai.Completion.create(
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engine="text-davinci-002",
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prompt=prompt,
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max_tokens=100
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)
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code = response.choices[0].text.strip()
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img = execute_code(code)
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return img
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iface = gr.Interface(fn=gpt3_inference, inputs="text", outputs="image")
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iface.launch()
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