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Update app.py
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app.py
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import streamlit as st
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel
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from huggingface_hub import login
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import warnings
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page_title="DuckDuckGo Search Tool",
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page_icon="🔍",
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layout="wide",
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)
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# Function to initialize the API with user-provided token
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def initialize_api(token=None):
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if token:
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login(token)
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try:
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# Initialize the model
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return HfApiModel(model_id="meta-llama/Llama-3.3-70B-Instruct")
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except Exception as e:
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st.error(f"Error initializing model: {str(e)}")
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return None
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else:
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st.warning("Please enter your Hugging Face API token to use this app.")
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return None
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# Initialize tools
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search_tool = DuckDuckGoSearchTool()
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# Streamlit App
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st.title("DuckDuckGo Search Tool")
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st.markdown("Search the web using DuckDuckGo and get AI-powered responses")
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# Initialize session state for token
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if "hf_token" not in st.session_state:
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st.session_state.hf_token = ""
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st.session_state.model = None
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# Sidebar for token input
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with st.sidebar:
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st.title("Configuration")
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# Token input
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token_input = st.text_input(
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"Enter your Hugging Face API Token:",
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value=st.session_state.hf_token,
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type="password",
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help="Get your token from huggingface.co/settings/tokens"
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)
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if token_input != st.session_state.hf_token:
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st.session_state.hf_token = token_input
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# Reset model when token changes
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st.session_state.model = None
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# Button to initialize/test the token
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if st.button("Initialize API"):
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with st.spinner("Testing your token..."):
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model = initialize_api(st.session_state.hf_token)
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if model:
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st.session_state.model = model
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st.success("✅ API initialized successfully!")
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else:
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st.error("❌ Failed to initialize the API with the provided token.")
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# Check if the model is initialized
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if not st.session_state.model and st.session_state.hf_token:
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with st.spinner("Initializing model..."):
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st.session_state.model = initialize_api(st.session_state.hf_token)
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if st.session_state.model:
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st.success("Model initialized successfully!")
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# Main content area - only show if token is provided
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if st.session_state.hf_token and st.session_state.model:
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st.header("AI Web Search")
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st.markdown("Ask any question and the AI will search the web for answers")
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query = st.text_input("Enter your search query:", placeholder="What are the latest advancements in renewable energy?")
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if st.button("Search"):
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if query:
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with st.spinner("Searching and processing..."):
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agent = CodeAgent(tools=[search_tool], model=st.session_state.model)
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response = agent.run(query)
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st.success("Search complete!")
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st.markdown("### Results")
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st.markdown(response)
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else:
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st.warning("Please enter a search query")
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else:
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# Token not provided
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st.info("Please enter your Hugging Face API token in the sidebar to get started.")
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# Show more information to help users understand what they need
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st.markdown("""
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### How to Get a Hugging Face Token
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1. Go to [huggingface.co](https://huggingface.co/) and create an account if you don't have one
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2. Visit your [settings page](https://huggingface.co/settings/tokens)
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3. Create a new token with read access
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4. Copy the token and paste it in the sidebar
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""")
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import gradio as gr
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def greet(name):
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return "Hello " + name + "!!"
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demo = gr.Interface(fn=greet, inputs="text", outputs="text")
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demo.launch()
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