File size: 1,059 Bytes
8524fc2
9bccd16
8524fc2
b1dce5c
9bccd16
8524fc2
 
9bccd16
 
a5793ab
9bccd16
 
8524fc2
b1dce5c
 
 
 
 
 
9bccd16
8524fc2
9bccd16
 
 
 
b1dce5c
9bccd16
8524fc2
 
9bccd16
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
import gradio as gr
import os

from smolagents import OpenAIServerModel
from smolagents import InferenceClientModel, CodeAgent, MCPClient


try:
    mcp_client = MCPClient(
        {"url": "https://bharatcoder-rs-studies.hf.space/gradio_api/mcp/", "transport": "streamable-http",}
    )
    tools = mcp_client.get_tools()

    # model = InferenceClientModel(token=os.getenv("HUGGINGFACE_API_TOKEN"))
    model = OpenAIServerModel(
        model_id="openai/gpt-oss-120b",
        api_base=os.getenv("LLM_BASSE_URL") #"https://openrouter.ai/api/v1",
        api_key=os.getenv("LLM_API_TOKEN"),
    )
    agent = CodeAgent(tools=[*tools], model=model, additional_authorized_imports=["json", "ast", "urllib", "base64"])

    demo = gr.ChatInterface(
        fn=lambda message, history: str(agent.run(message)),
        type="messages",
        title="RSWarriors - RS chatbot",
        description="RS Chatbot - Remember AI makes mistakes.\n!!!DO NOT TAKE INVESTMENT DECISIONS BASED ON THIS OUTPUT!!!",
    )

    demo.launch()
finally:
    mcp_client.disconnect()