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Update app.py
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app.py
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@@ -4,7 +4,7 @@ import datetime
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import pytz
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import asyncio
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# Framework 1: LlamaIndex
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from llama_index.core.agent.workflow import AgentWorkflow
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from llama_index.core.tools import FunctionTool
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from llama_index.llms.huggingface_api import HuggingFaceInferenceAPI
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@@ -16,7 +16,7 @@ from smolagents import CodeAgent, DuckDuckGoSearchTool, tool, InferenceClientMod
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HF_TOKEN = os.getenv("HF_TOKEN")
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# ==========================================
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# PART 1: LLAMAINDEX AGENT
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# ==========================================
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li_llm = HuggingFaceInferenceAPI(
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model_name="Qwen/Qwen2.5-7B-Instruct",
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@@ -30,17 +30,18 @@ def get_tokyo_time() -> str:
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li_tools = [FunctionTool.from_defaults(fn=get_tokyo_time)]
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#
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li_agent = AgentWorkflow.from_tools_or_functions(
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llm=li_llm,
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)
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def chat_llama(message, history):
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try:
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# AgentWorkflow
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return str(
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except Exception as e:
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return f"LlamaIndex Error: {str(e)}"
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@@ -67,21 +68,24 @@ smol_agent = CodeAgent(
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def chat_smol(message, history):
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try:
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response = smol_agent.run(message)
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return str(response)
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except Exception as e:
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return f"Smolagents Error: {str(e)}"
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# ==========================================
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# PART 3: GRADIO UI
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# ==========================================
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 🤖 Dual-Agent Testing Space")
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with gr.Tab("LlamaIndex (
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gr.ChatInterface(fn=chat_llama)
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with gr.Tab("smolagents (CodeAgent)"):
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gr.ChatInterface(fn=chat_smol)
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if __name__ == "__main__":
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import pytz
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import asyncio
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# Framework 1: LlamaIndex
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from llama_index.core.agent.workflow import AgentWorkflow
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from llama_index.core.tools import FunctionTool
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from llama_index.llms.huggingface_api import HuggingFaceInferenceAPI
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HF_TOKEN = os.getenv("HF_TOKEN")
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# ==========================================
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# PART 1: LLAMAINDEX AGENT
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# ==========================================
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li_llm = HuggingFaceInferenceAPI(
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model_name="Qwen/Qwen2.5-7B-Instruct",
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li_tools = [FunctionTool.from_defaults(fn=get_tokyo_time)]
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# FIX: Passed li_tools as a positional argument (no 'tools=' key)
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li_agent = AgentWorkflow.from_tools_or_functions(
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li_tools,
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llm=li_llm,
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system_prompt="You are a helpful assistant with access to a Tokyo time tool."
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)
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async def chat_llama(message, history):
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try:
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# AgentWorkflow.run returns a handler; we await the final result
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result = await li_agent.run(user_msg=message)
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return str(result)
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except Exception as e:
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return f"LlamaIndex Error: {str(e)}"
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def chat_smol(message, history):
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try:
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# smolagents .run() is synchronous by default
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response = smol_agent.run(message)
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return str(response)
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except Exception as e:
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return f"Smolagents Error: {str(e)}"
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# ==========================================
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# PART 3: UNIFIED GRADIO UI
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# ==========================================
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 🤖 Dual-Agent Testing Space (2026 Edition)")
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with gr.Tab("LlamaIndex (Workflow)"):
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gr.Markdown("Uses an **Event-Driven Workflow** for reasoning.")
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gr.ChatInterface(fn=chat_llama)
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with gr.Tab("smolagents (CodeAgent)"):
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gr.Markdown("Uses a **Code-Execution Loop** to solve tasks.")
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gr.ChatInterface(fn=chat_smol)
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if __name__ == "__main__":
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