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Update app.py
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app.py
CHANGED
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@@ -6,7 +6,7 @@ from rag_langgraph import run_multi_agent
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os.environ["LANGCHAIN_TRACING_V2"] = "true"
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os.environ["LANGCHAIN_PROJECT"] = "langgraph-multi-agent"
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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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@@ -14,14 +14,13 @@ def invoke(openai_api_key, topic, word_count=2000):
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os.environ["OPENAI_API_KEY"] = openai_api_key
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return run_multi_agent(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 = "Word Count", value=2000, minimum=500, maximum=5000)],
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outputs = [gr.Markdown(label = "Generated Article", value=os.environ["OUTPUT"])],
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title = "Multi-Agent RAG: Article Generation",
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description = os.environ["DESCRIPTION"])
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os.environ["LANGCHAIN_TRACING_V2"] = "true"
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os.environ["LANGCHAIN_PROJECT"] = "langgraph-multi-agent"
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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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os.environ["OPENAI_API_KEY"] = openai_api_key
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return run_multi_agent(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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outputs = [gr.Markdown(label = "Generated Article", value=os.environ["OUTPUT"])],
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title = "Multi-Agent RAG: Article Generation",
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description = os.environ["DESCRIPTION"])
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