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1 Parent(s): 0cd1210

Update app.py

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  1. app.py +59 -54
app.py CHANGED
@@ -1,64 +1,69 @@
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  import gradio as gr
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- from huggingface_hub import InferenceClient
 
 
 
 
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- """
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- For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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- """
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- client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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- def respond(
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- message,
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- history: list[tuple[str, str]],
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- system_message,
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- max_tokens,
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- temperature,
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- top_p,
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- ):
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- messages = [{"role": "system", "content": system_message}]
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-
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- for val in history:
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- if val[0]:
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- messages.append({"role": "user", "content": val[0]})
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- if val[1]:
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- messages.append({"role": "assistant", "content": val[1]})
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-
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- messages.append({"role": "user", "content": message})
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-
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- response = ""
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-
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- for message in client.chat_completion(
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- messages,
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- max_tokens=max_tokens,
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- stream=True,
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- temperature=temperature,
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- top_p=top_p,
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- ):
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- token = message.choices[0].delta.content
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- response += token
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- yield response
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- """
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- For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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- """
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- demo = gr.ChatInterface(
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- respond,
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- additional_inputs=[
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- gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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- gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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- gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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- gr.Slider(
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- minimum=0.1,
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- maximum=1.0,
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- value=0.95,
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- step=0.05,
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- label="Top-p (nucleus sampling)",
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- ),
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  ],
 
 
 
 
 
 
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  )
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-
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- if __name__ == "__main__":
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- demo.launch()
 
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  import gradio as gr
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+ from composio_llamaindex import ComposioToolSet, App, Action
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+ from llama_index.core.agent import FunctionCallingAgentWorker
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+ from llama_index.core.llms import ChatMessage
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+ from llama_index.llms.openai import OpenAI
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+ from dotenv import load_dotenv
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+ load_dotenv()
 
 
 
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+ # Initialize Composio ToolSet and OpenAI model
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+ composio_toolset = ComposioToolSet()
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+ tools = composio_toolset.get_tools(apps=[App.EXA, App.BROWSERBASE_TOOL, App.GOOGLESHEETS])
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+ llm = OpenAI(model="gpt-4o")
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+ # Set up prefix messages for the agent
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+ prefix_messages = [
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+ ChatMessage(
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+ role="system",
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+ content=(
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+ "You are a domain name suggestion agent. Based on the latest news of business mergers and acquisitions, suggest creative domain names."
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+ "Use the information available to you. Provide at least 10 relevant domain name suggestions based on the merger or acquisition."
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+ "Include the following elements in your suggestions:"
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+ """
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+ Suggested Domain Names:
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+ 1. Domain Name
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+ 2. Availability Status
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+ 3. Related Keywords
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+ 4. Industry Relevance
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+ """
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+ "Once the suggestions have been generated, present them in a clear format."
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+ ),
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+ )
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+ ]
 
 
 
 
 
 
 
 
 
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+ # Define the function that interacts with the agent
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+ def generate_domain_suggestions(industry, reason):
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+ # Initialize the agent worker
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+ agent = FunctionCallingAgentWorker(
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+ tools=tools,
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+ llm=llm,
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+ prefix_messages=prefix_messages,
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+ max_function_calls=10,
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+ allow_parallel_tool_calls=False,
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+ verbose=True,
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+ ).as_agent()
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+
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+ user_input = f"Based on the Industry {industry} look for latest merger and business deals and then suggest domain names that can be bought for these mergers and deals."
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+ response = agent.chat(user_input)
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+ return response.response
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+
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+ # Create Gradio Interface with two input fields and Markdown output
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+ iface = gr.Interface(
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+ fn=generate_domain_suggestions,
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+ inputs=[
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+ #gr.HTML("<h2>Built with Composio</h2><a href='https://github.com/composiohq/composio'>GitHub Repository</a>"),
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+ gr.Textbox(label="Industry Name", placeholder="Enter the name of the industry"),
 
 
 
 
 
 
 
 
 
 
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  ],
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+ outputs=[
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+ gr.Markdown(label="Domain Suggestions and Sponsorship Request"),
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+ ],
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+ title="Domain Name Suggestion Tool for Mergers and Acquisitions",
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+ description="Built with [Composio](https://www.github.com/composiohq/composio) Use this tool to generate domain name suggestions based on the latest business mergers and acquisitions.",
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+ theme=gr.themes.Default(), # Ensure to set a theme if needed
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  )
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+ # Launch the interface
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+ iface.launch()