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Update app.py
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app.py
CHANGED
@@ -5,24 +5,24 @@ from crew import get_crew
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LLM = "gpt-4o"
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def invoke(openai_api_key, topic,
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if (openai_api_key == ""):
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raise gr.Error("OpenAI API Key is required.")
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if (topic == ""):
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raise gr.Error("Topic is required.")
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-
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agentops.init(os.environ["AGENTOPS_API_KEY"])
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os.environ["OPENAI_API_KEY"] = openai_api_key
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return get_crew(LLM).kickoff(inputs={"topic": topic, "
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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),
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gr.Textbox(label = "Topic", value=os.environ["TOPIC"], lines = 1),
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gr.Number(label = "
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outputs = [gr.Textbox(label = "Generated Blog Post", value=os.environ["OUTPUT"], lines = 1)],
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title = "Multi-Agent RAG: Blog Post Generation",
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description = os.environ["DESCRIPTION"])
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LLM = "gpt-4o"
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def invoke(openai_api_key, topic, word_count):
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if (openai_api_key == ""):
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raise gr.Error("OpenAI API Key is required.")
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if (topic == ""):
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raise gr.Error("Topic is required.")
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agentops.init(os.environ["AGENTOPS_API_KEY"])
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os.environ["OPENAI_API_KEY"] = openai_api_key
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return get_crew(LLM).kickoff(inputs={"topic": topic, "words": words})
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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),
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gr.Textbox(label = "Topic", value=os.environ["TOPIC"], lines = 1),
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gr.Number(label = "Word Count", value="2500", minimum="500", maximum="5000")],
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outputs = [gr.Textbox(label = "Generated Blog Post", value=os.environ["OUTPUT"], lines = 1)],
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title = "Multi-Agent RAG: Blog Post Generation",
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description = os.environ["DESCRIPTION"])
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