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Create app.py
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app.py
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import os
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import time
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import streamlit as st
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from smolagents import CodeAgent, HfApiModel, tool
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from huggingface_hub import InferenceClient
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# Retrieve Hugging Face token
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hf_token = os.getenv("HF_TOKEN")
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if not hf_token:
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raise ValueError("Hugging Face token not found. Please set it in the environment or Streamlit secrets.")
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# Initialize the Hugging Face Inference client
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client = InferenceClient(token=hf_token)
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# Custom tools for SmolAgents
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@tool
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def search_harry_potter_lore(query: str) -> str:
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"""Search for Harry Potter-related lore or facts from external sources.
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Args:
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query: A specific question or topic about Harry Potter lore.
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Returns:
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A concise and informative response based on the query.
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"""
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# Placeholder for a real implementation using an API or web scraping
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# In production, you could integrate with fandom APIs or use libraries like BeautifulSoup.
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if "horcrux" in query.lower():
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return "A Horcrux is a dark magical object created by splitting one's soul. Tom Riddle created seven of them."
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elif "chamber of secrets" in query.lower():
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return "The Chamber of Secrets was built by Salazar Slytherin to purge the school of those he deemed unworthy to study magic."
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else:
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return "The information you're looking for is not available in my current resources."
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# Initialize the SmolAgent model
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model = HfApiModel(model_id="meta-llama/Llama-3.2-3B-Instruct", token=hf_token)
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# Create the agent
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agent = CodeAgent(tools=[search_harry_potter_lore], model=model)
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def apply_custom_styles():
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st.markdown(
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"""
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<style>
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.stApp {
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background-color: #fefbe9;
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background-image: radial-gradient(circle, rgba(250,240,200,1) 0%, rgba(245,235,185,1) 100%);
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font-family: 'Dancing Script', cursive;
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display: flex;
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justify-content: center;
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align-items: center;
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height: 100vh;
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}
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textarea {
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width: 100%;
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height: 100%;
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font-size: 20px;
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font-family: 'Dancing Script', cursive;
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color: #000000;
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background-color: rgba(255, 255, 255, 0.8);
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border: none;
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box-shadow: none;
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outline: none;
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resize: none;
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padding: 10px;
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}
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textarea::placeholder {
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color: rgba(0, 0, 0, 0.5);
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}
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textarea:focus {
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outline: none;
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border: 2px solid rgba(0, 0, 0, 0.3);
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}
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.response {
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font-size: 22px;
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color: #000000;
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text-align: center;
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font-family: 'Dancing Script', cursive;
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padding: 20px;
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animation: fade-in 2s ease-in;
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position: relative;
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}
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@keyframes fade-in {
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from { opacity: 0; }
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to { opacity: 1; }
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}
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</style>
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""",
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unsafe_allow_html=True
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)
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def main():
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apply_custom_styles()
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# Initialize session state variables if not set
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if "state_reset" not in st.session_state:
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st.session_state["state_reset"] = True
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if st.session_state["state_reset"]:
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st.session_state["user_input"] = ""
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st.session_state["response"] = None
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st.session_state["waiting_for_input"] = True
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st.session_state["state_reset"] = False
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def process_input():
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"""Fetch Tom Riddle's response based on user input."""
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user_input = st.session_state["user_input"]
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if user_input.strip():
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try:
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response = agent.run(
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f"You are Tom Riddle, a cunning and enigmatic character from Harry Potter. Respond concisely and pragmatically: {user_input}"
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)
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st.session_state["response"] = response
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st.session_state["waiting_for_input"] = False
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except Exception as e:
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st.error(f"An error occurred: {e}")
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# Show input area or response based on state
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if st.session_state["waiting_for_input"]:
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st.text_area(
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"",
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placeholder="Write your thoughts here...",
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key="user_input",
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on_change=process_input,
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)
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elif st.session_state["response"]:
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st.markdown(
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f"<div class='response'>{st.session_state['response']}</div>",
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unsafe_allow_html=True,
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)
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# Wait for fade-out to complete
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time.sleep(6.5)
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# Fully reset state to start over
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st.session_state["state_reset"] = True
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st.rerun()
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if __name__ == "__main__":
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main()
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