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Browse files- app.py +67 -0
- requirements.txt +3 -0
app.py
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from swarmauri.standard.llms.concrete.GroqModel import GroqModel
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from swarmauri.standard.messages.concrete.SystemMessage import SystemMessage
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from swarmauri.standard.agents.concrete.SimpleConversationAgent import SimpleConversationAgent
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from swarmauri.standard.conversations.concrete.MaxSystemContextConversation import MaxSystemContextConversation
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import gradio as gr
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import os
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from dotenv import load_dotenv
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# Fetch the API key from environment variables
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load_dotenv()
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# Fetch the API key from environment variables
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API_KEY = os.getenv("GROQ_API_KEY")
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# Initialize the GroqModel with the API key to access allowed models
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llm = GroqModel(api_key=API_KEY)
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# Get the available models from the llm instance
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allowed_models = llm.allowed_models
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# Initialize a MaxSystemContextConversation instance
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conversation = MaxSystemContextConversation()
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# Define a function to dynamically change the model based on dropdown input
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def load_model(selected_model):
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return GroqModel(api_key=API_KEY, name=selected_model)
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# Define the function to interact with the agent
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def converse(input_text, history, system_context, model_name):
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print(f"System context: {system_context}")
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print(f"Selected model: {model_name}")
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# Initialize the model dynamically based on user selection
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llm = load_model(model_name)
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# Initialize the agent with the new model
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agent = SimpleConversationAgent(llm=llm, conversation=conversation)
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# Set the system context for the agent
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agent.conversation.system_context = SystemMessage(content=system_context)
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# Ensure input text is a string
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input_text = str(input_text)
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print(conversation.history)
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# Execute the input command with the agent
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result = agent.exec(input_text)
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print(result, type(result))
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# Return the result as a string
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return str(result)
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# Set up the Gradio ChatInterface with a dropdown for model selection
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interface = gr.ChatInterface(
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fn=converse,
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additional_inputs=[
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gr.Textbox(label="System Context"),
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gr.Dropdown(label="Model Name", choices=allowed_models, value=allowed_models[0])
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],
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title="A system context conversation",
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description="Interact with the agent using a selected model and system context."
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)
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# Start the Gradio interface
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interface.launch()
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requirements.txt
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huggingface_hub==0.22.2
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swarmauri[full]==0.4.1
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python-dotenv
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