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| import torch | |
| import gradio as gr | |
| import os | |
| from transformers import AlignProcessor, AlignModel | |
| from transformers import AzureOpenAiAgent, OpenAiAgent | |
| agent = OpenAiAgent(model="text-davinci-003", api_key=os.environ.get("openai_key")) | |
| def predict(text): | |
| return agent.run("Is the following `text` (in French) positif ou négatif?", text=text) | |
| description = """ | |
| """ | |
| gr.Interface( | |
| fn=predict, | |
| inputs=[ | |
| gr.inputs.Textbox(lines=1, placeholder="Enter text",) | |
| ], | |
| outputs=gr.Textbox(), | |
| examples=[ | |
| ["J'adore la tartiflette"], | |
| ["Je déteste les choux à la crème"] | |
| ], | |
| title="Votre phrase est-elle négative ou positive?", | |
| description=description | |
| ).launch() |