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Update app.py
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app.py
CHANGED
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@@ -1,10 +1,35 @@
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import streamlit as st
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel
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# Define agents for both functionalities
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search_agent = CodeAgent(tools=[DuckDuckGoSearchTool()], model=HfApiModel())
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blog_agent = CodeAgent(tools=[], model=HfApiModel()) # Replace with blog-specific tools/models if needed
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# Streamlit app title
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st.title("AI Agent Hub: Blog Writing & Stock Data Retrieval")
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@@ -26,8 +51,10 @@ if selected_feature == "Blog Writing Agent":
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try:
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# Run the blog agent
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blog_result = blog_agent.run(blog_prompt)
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st.write("Generated Blog Content:")
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st.write(blog_result)
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except Exception as e:
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st.error(f"An error occurred: {e}")
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else:
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@@ -36,15 +63,24 @@ if selected_feature == "Blog Writing Agent":
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elif selected_feature == "Stock Data Helper":
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st.header("Stock Data Helper")
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stock_prompt = st.text_area("Enter your query (e.g., company name, stock symbol):")
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if st.button("Retrieve Stock Data"):
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if stock_prompt:
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with st.spinner("Retrieving stock data..."):
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try:
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# Run the search agent for stock data
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stock_result = search_agent.run(stock_prompt)
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st.write("Stock Data Result:")
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st.write(stock_result)
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except Exception as e:
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st.error(f"An error occurred: {e}")
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else:
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@@ -52,4 +88,4 @@ elif selected_feature == "Stock Data Helper":
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# Footer
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st.markdown("---")
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st.caption("Powered by SmolAgents and
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import streamlit as st
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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel
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import yfinance as yf
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# Define agents for both functionalities
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search_agent = CodeAgent(tools=[DuckDuckGoSearchTool()], model=HfApiModel())
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blog_agent = CodeAgent(tools=[], model=HfApiModel()) # Replace with blog-specific tools/models if needed
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# Function to log agent actions
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def log_agent_action(prompt, result, agent_name):
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st.write(f"### Agent Activity ({agent_name}):")
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st.write("**Prompt Sent to Agent:**")
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st.code(prompt, language="text")
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st.write("**Agent Output:**")
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st.code(result, language="text")
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# Function to retrieve stock data using yfinance
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def get_stock_info(symbol):
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try:
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stock = yf.Ticker(symbol)
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info = stock.info
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return {
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"Symbol": info.get("symbol", "N/A"),
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"Name": info.get("shortName", "N/A"),
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"Current Price": info.get("regularMarketPrice", "N/A"),
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"Currency": info.get("currency", "N/A"),
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"Previous Close": info.get("regularMarketPreviousClose", "N/A"),
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"Market Cap": info.get("marketCap", "N/A"),
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}
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except Exception as e:
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return {"Error": f"Could not retrieve stock information: {e}"}
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# Streamlit app title
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st.title("AI Agent Hub: Blog Writing & Stock Data Retrieval")
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try:
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# Run the blog agent
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blog_result = blog_agent.run(blog_prompt)
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# Display result and log backend activity
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st.write("Generated Blog Content:")
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st.write(blog_result)
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log_agent_action(blog_prompt, blog_result, "Blog Writing Agent")
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except Exception as e:
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st.error(f"An error occurred: {e}")
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else:
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elif selected_feature == "Stock Data Helper":
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st.header("Stock Data Helper")
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stock_prompt = st.text_area("Enter your query (e.g., company name, stock symbol):")
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use_yfinance = st.checkbox("Fetch additional data using yfinance (e.g., AAPL for Apple)")
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if st.button("Retrieve Stock Data"):
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if stock_prompt:
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with st.spinner("Retrieving stock data..."):
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try:
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# Run the search agent for stock data
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stock_result = search_agent.run(stock_prompt)
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st.write("Stock Data Result from Agent:")
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st.write(stock_result)
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log_agent_action(stock_prompt, stock_result, "Stock Data Helper")
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# Fetch additional data using yfinance
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if use_yfinance:
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stock_info = get_stock_info(stock_prompt)
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st.write("Additional Stock Information (yfinance):")
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st.json(stock_info)
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except Exception as e:
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st.error(f"An error occurred: {e}")
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else:
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# Footer
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st.markdown("---")
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st.caption("Powered by SmolAgents, Streamlit, and yfinance")
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