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Update app.py
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app.py
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import gradio as gr
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def greet(name):
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return
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iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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iface.launch()
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import gradio as gr
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import os
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from openai import OpenAI
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from dotenv import load_dotenv, find_dotenv
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_ = load_dotenv(find_dotenv()) # read local .env file
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os.environ['OPENAI_API_KEY'] = "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"
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client = OpenAI()
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# account for deprecation of LLM model
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import datetime
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# Get the current date
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current_date = datetime.datetime.now().date()
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# Define the date after which the model should be set to "gpt-3.5-turbo"
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target_date = datetime.date(2024, 6, 12)
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# Set the model variable based on the current date
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if current_date > target_date:
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llm_model = "gpt-3.5-turbo"
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else:
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llm_model = "gpt-3.5-turbo-0301"
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def get_completion(prompt, model=llm_model):
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messages = [{"role": "user", "content": prompt}]
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response = client.chat.completions.create(
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model=model,
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messages=messages,
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temperature=0,
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)
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return response.choices[0].message.content
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def greet(name):
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return get_completion(name)
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iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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iface.launch()
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