fix: Update AI Startup Trend Analysis Agent to use new model

starter_ai_agents/ai_data_analysis_agent/requirements.txt

@@ -1,4 +1,3 @@
-phidata
 streamlit==1.41.1
 openai==1.58.1
 duckdb>=1.4.1

starter_ai_agents/ai_startup_trend_analysis_agent/requirements.txt

@@ -1,4 +1,4 @@
-agno
+agno>=2.2.10
 streamlit==1.40.2
 duckduckgo_search==6.3.7
 newspaper4k==0.9.3.1

starter_ai_agents/ai_startup_trend_analysis_agent/startup_trends_agent.py

@@ -1,50 +1,45 @@
 import streamlit as st
 from agno.agent import Agent
+from agno.run.agent import RunOutput
 from agno.tools.duckduckgo import DuckDuckGoTools
-from agno.models.anthropic import Claude
+from agno.models.google import Gemini
 from agno.tools.newspaper4k import Newspaper4kTools
-from agno.tools import Tool
-import logging
-
-logging.basicConfig(level=logging.DEBUG)
 
 # Setting up Streamlit app
 st.title("AI Startup Trend Analysis Agent 📈")
 st.caption("Get the latest trend analysis and startup opportunities based on your topic of interest in a click!.")
 
 topic = st.text_input("Enter the area of interest for your Startup:")
-anthropic_api_key = st.sidebar.text_input("Enter Anthropic API Key", type="password")
+google_api_key = st.sidebar.text_input("Enter Google API Key", type="password")
 
 if st.button("Generate Analysis"):
-    if not anthropic_api_key:
+    if not google_api_key:
         st.warning("Please enter the required API key.")
     else:
         with st.spinner("Processing your request..."):
             try:
-                # Initialize Anthropic model
-                anthropic_model = Claude(id ="claude-3-5-sonnet-20240620",api_key=anthropic_api_key)
+                # Initialize Gemini model
+                gemini_model = Gemini(id="gemini-2.5-flash", api_key=google_api_key)
 
                 # Define News Collector Agent - Duckduckgo_search tool enables an Agent to search the web for information.
-                search_tool = DuckDuckGoTools(search=True, news=True, fixed_max_results=5)
+                search_tool = DuckDuckGoTools()
                 news_collector = Agent(
                     name="News Collector",
                     role="Collects recent news articles on the given topic",
                     tools=[search_tool],
-                    model=anthropic_model,
+                    model=gemini_model,
                     instructions=["Gather latest articles on the topic"],
-                    show_tool_calls=True,
                     markdown=True,
                 )
 
                 # Define Summary Writer Agent
-                news_tool = Newspaper4kTools(read_article=True, include_summary=True)
+                news_tool = Newspaper4kTools(enable_read_article=True, include_summary=True)
                 summary_writer = Agent(
                     name="Summary Writer",
                     role="Summarizes collected news articles",
                     tools=[news_tool],
-                    model=anthropic_model,
+                    model=gemini_model,
                     instructions=["Provide concise summaries of the articles"],
-                    show_tool_calls=True,
                     markdown=True,
                 )
 
@@ -52,38 +47,22 @@ if st.button("Generate Analysis"):
                 trend_analyzer = Agent(
                     name="Trend Analyzer",
                     role="Analyzes trends from summaries",
-                    model=anthropic_model,
+                    model=gemini_model,
                     instructions=["Identify emerging trends and startup opportunities"],
-                    show_tool_calls=True,
-                    markdown=True,
-                )
-
-                # The multi agent Team setup of phidata:
-                agent_team = Agent(
-                    agents=[news_collector, summary_writer, trend_analyzer],
-                    instructions=[
-                        "First, search DuckDuckGo for recent news articles related to the user's specified topic.",
-                        "Then, provide the collected article links to the summary writer.",
-                        "Important: you must ensure that the summary writer receives all the article links to read.",
-                        "Next, the summary writer will read the articles and prepare concise summaries of each.",
-                        "After summarizing, the summaries will be passed to the trend analyzer.",
-                        "Finally, the trend analyzer will identify emerging trends and potential startup opportunities based on the summaries provided in a detailed Report form so that any young entreprenur can get insane value reading this easily"
-                    ],
-                    show_tool_calls=True,
                     markdown=True,
                 )
 
                 # Executing the workflow
                 # Step 1: Collect news
-                news_response = news_collector.run(f"Collect recent news on {topic}")
+                news_response: RunOutput = news_collector.run(f"Collect recent news on {topic}")
                 articles = news_response.content
 
                 # Step 2: Summarize articles
-                summary_response = summary_writer.run(f"Summarize the following articles:\n{articles}")
+                summary_response: RunOutput = summary_writer.run(f"Summarize the following articles:\n{articles}")
                 summaries = summary_response.content
 
                 # Step 3: Analyze trends
-                trend_response = trend_analyzer.run(f"Analyze trends from the following summaries:\n{summaries}")
+                trend_response: RunOutput = trend_analyzer.run(f"Analyze trends from the following summaries:\n{summaries}")
                 analysis = trend_response.content
 
                 # Display results - if incase you want to use this furthur, you can uncomment the below 2 lines to get the summaries too!