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Update app.py
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app.py
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@@ -2,23 +2,21 @@ import os
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import gradio as gr
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import datetime
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import pytz
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import math
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import requests
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from deep_translator import GoogleTranslator
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# Framework 1: LlamaIndex
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from llama_index.core.agent import
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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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# Framework 2: smolagents
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from smolagents import CodeAgent, DuckDuckGoSearchTool, tool, InferenceClientModel
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# 0. SHARED CONFIG
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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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@@ -27,20 +25,18 @@ li_llm = HuggingFaceInferenceAPI(
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)
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def get_tokyo_time() -> str:
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"""Returns the current time in Tokyo."""
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tz = pytz.timezone('Asia/Tokyo')
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return f"The current time
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li_tools = [FunctionTool.from_defaults(fn=get_tokyo_time)]
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#
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llm=li_llm,
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verbose=True
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)
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li_agent = AgentRunner(worker)
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def chat_llama(message, history):
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try:
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@@ -63,12 +59,11 @@ def weather_tool(location: str) -> str:
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Args:
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location: The city name.
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"""
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return f"The weather in {location} is sunny and
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smol_agent = CodeAgent(
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model=smol_model,
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tools=[weather_tool, DuckDuckGoSearchTool()]
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additional_authorized_imports=['math', 'requests', 'pytz', 'datetime']
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)
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def chat_smol(message, history):
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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("# 🤖 Multi-Framework
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gr.Markdown("Compare the two leading agent frameworks side-by-side.")
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with gr.Tab("LlamaIndex (ReAct
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gr.ChatInterface(fn=chat_llama)
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with gr.Tab("smolagents (Code
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gr.ChatInterface(fn=chat_smol)
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if __name__ == "__main__":
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import gradio as gr
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import datetime
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import pytz
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import requests
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# Framework 1: LlamaIndex - Using the most direct, stable imports
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from llama_index.core.agent import ReActAgent
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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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# Framework 2: smolagents
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from smolagents import CodeAgent, DuckDuckGoSearchTool, tool, InferenceClientModel
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# 0. SHARED CONFIG
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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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)
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def get_tokyo_time() -> str:
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"""Returns the current time in Tokyo, Japan."""
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tz = pytz.timezone('Asia/Tokyo')
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return f"The current time is {datetime.datetime.now(tz).strftime('%H:%M:%S')}"
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li_tools = [FunctionTool.from_defaults(fn=get_tokyo_time)]
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# Using the class-based initialization which is now corrected in latest 0.10+ versions
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li_agent = ReActAgent.from_tools(
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tools=li_tools,
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llm=li_llm,
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verbose=True
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)
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def chat_llama(message, history):
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try:
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Args:
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location: The city name.
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"""
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return f"The weather in {location} is currently sunny and 22°C."
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smol_agent = CodeAgent(
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model=smol_model,
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tools=[weather_tool, DuckDuckGoSearchTool()]
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)
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def chat_smol(message, history):
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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("# 🤖 Multi-Framework AI Space")
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with gr.Tab("LlamaIndex (ReAct)"):
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gr.ChatInterface(fn=chat_llama)
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with gr.Tab("smolagents (Code)"):
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gr.ChatInterface(fn=chat_smol)
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if __name__ == "__main__":
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