bstraehle commited on
Commit
61dc87a
·
1 Parent(s): eb1e69b

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -75,7 +75,7 @@ gr.close_all()
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  demo = gr.Interface(fn = invoke,
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  inputs = [gr.Textbox(label = "OpenAI API Key", type = "password", lines = 1, value = "sk-"),
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  gr.Textbox(label = "Prompt", value = "What are GPT-4's media capabilities in 5 emojis and 1 sentence?", lines = 1),
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- gr.Radio([RAG_OFF, RAG_MONGODB], label = "Retrieval-Augmented Generation", value = RAG_OFF),],
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  outputs = [gr.Textbox(label = "Completion", lines = 1)],
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  title = "Context-Aware Multimodal Reasoning Application",
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  description = os.environ["DESCRIPTION"],
@@ -83,7 +83,7 @@ demo = gr.Interface(fn = invoke,
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  ["sk-", "List GPT-4's exam scores and benchmark results.", RAG_MONGODB],
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  ["sk-", "Compare GPT-4 to GPT-3.5 in markdown table format.", RAG_MONGODB],
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  ["sk-", "Write a Python program that calls the GPT-4 API.", RAG_MONGODB],
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- ["sk-", "What is the GPT-4 API's cost and rate limit? Answer in English, Arabic, Chinese, Hindi, and Russian in JSON format.", RAG_MONGODB],],
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  cache_examples = False)
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  demo.launch()
 
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  demo = gr.Interface(fn = invoke,
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  inputs = [gr.Textbox(label = "OpenAI API Key", type = "password", lines = 1, value = "sk-"),
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  gr.Textbox(label = "Prompt", value = "What are GPT-4's media capabilities in 5 emojis and 1 sentence?", lines = 1),
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+ gr.Radio([RAG_OFF, RAG_MONGODB], label = "Retrieval-Augmented Generation", value = RAG_OFF)],
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  outputs = [gr.Textbox(label = "Completion", lines = 1)],
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  title = "Context-Aware Multimodal Reasoning Application",
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  description = os.environ["DESCRIPTION"],
 
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  ["sk-", "List GPT-4's exam scores and benchmark results.", RAG_MONGODB],
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  ["sk-", "Compare GPT-4 to GPT-3.5 in markdown table format.", RAG_MONGODB],
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  ["sk-", "Write a Python program that calls the GPT-4 API.", RAG_MONGODB],
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+ ["sk-", "What is the GPT-4 API's cost and rate limit? Answer in English, Arabic, Chinese, Hindi, and Russian in JSON format.", RAG_MONGODB]],
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  cache_examples = False)
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  demo.launch()