Create appv2.py

appv2.py

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+import os
+from crewai import Agent, Task, Crew, Process
+from langchain.tools import Tool  # Assuming DuckDuckGoSearchRun or equivalent tool is available
+import gradio as gr
+
+# Assuming WebSearchTools and ChatGoogleGenerativeAI are properly defined and available
+from WebScape_TOOL import WebSearchTools  # Custom class for web search and BeautifulSoup processing
+
+from langchain_google_genai import ChatGoogleGenerativeAI
+
+# Set up API keys and environment variables
+api_gemini = 'AIzaSyDkIoeAfuJoHCN3-Db-gojZd2Kzghunr3U'
+os.environ["api_gemini"] = api_gemini
+# Define the Large Language Model (LLM)
+llm = ChatGoogleGenerativeAI(model="gemini-pro", verbose=True, temperature=0.1, google_api_key=api_gemini)
+
+
+from langchain.tools import DuckDuckGoSearchRun
+duckduckgo_search_tool = DuckDuckGoSearchRun()
+
+def create_crewai_crypto_setup(crypto_symbol):
+    # Main Research Agent for technical and market analysis
+    research_agent = Agent(
+        role="Crypto Analysis Expert",
+        goal=f"Perform in-depth analysis on cryptocurrency - {crypto_symbol}, focusing on market outlook, investment strategies, technical/trade signals, and risks.",
+        backstory="Expert in technical analysis, market sentiment, and investment strategy for cryptocurrencies.",
+        verbose=True,
+        allow_delegation=False,
+        tools=[duckduckgo_search_tool],
+        llm=llm,
+    )
+
+    # Task 1: Market Outlook
+    market_outlook_t1 = Task(
+        description=f"Research and report on cryptocurrency - {crypto_symbol} historical price trends, including timeline of price targets, price action, and short, medium, long term predictions.",
+        expected_output="Summary of important information and actionale insights. Final ouput strictly 500 chars. or less",
+        tools=[WebSearchTools().forecast_search, WebSearchTools().process_search_results],
+        agent=research_agent,
+    )
+
+    # Task 2: Investment Strategies
+    investment_strategies_t2 = Task(
+        description=f"Develop investment strategies for {crypto_symbol}, including price levels to buy/sell/hold based on current market analysis and or recent support and resistance level.",
+        expected_output="Summary of important information and data. Final Ouput strictly 500 chars. or less",
+        tools=[WebSearchTools().pricetargets_search, WebSearchTools().process_search_results, duckduckgo_search_tool],
+        agent=research_agent,
+    )
+
+    # Task 3: Technical/Trade Signals
+    technical_signals_t3 = Task(
+        description=f"Research and perform technical analysis on cryptocurrency - {crypto_symbol}, identify trade and techincal signals and or indicators for bullish or bearish trends.",
+        expected_output="Summary of information. Final Ouput strictly 500 chars. or less",
+        tools=[WebSearchTools().technicalsignals_search, WebSearchTools().process_search_results],
+        agent=research_agent,
+    )
+
+    # Task 4: Risks
+    risks_t4 = Task(
+        description=f"Research recent sentiment, news, volatility and other risks associcated with cryptocurrency - {crypto_symbol}.",
+        expected_output="Summary of identified risks. Final Ouput strictly 500 chars. or less",
+        tools=[duckduckgo_search_tool],
+        agent=research_agent,
+    )
+
+    # Crew setup for processing the tasks sequentially
+    crypto_crew = Crew(
+        agents=[research_agent],
+        tasks=[market_outlook_t1, investment_strategies_t2, technical_signals_t3, risks_t4],
+        verbose=2,
+        process=Process.sequential,
+    )
+    crew_result = crypto_crew.kickoff()
+###############################  - CREW -  ###############################
+    ### FINAL REPORT - ##  Mapping task results to section titles for output
+    section_titles = {
+        "Market Outlook": market_outlook_t1.output.result,
+        "Invesment Report": investment_strategies_t2.output.result,
+        "Technical Analysis": technical_signals_t3.output.result,
+        "Risk Analysis": risks_t4.output.result,
+    }
+
+    return section_titles
+
+# Adjusted Gradio interface function to include section titles
+def run_crewai_app(coin_name):
+    results = create_crewai_crypto_setup(coin_name)
+    output = '\n\n'.join([f"{title}:\n{result}" for title, result in results.items()])
+    return output
+
+iface = gr.Interface(
+    fn=run_crewai_app,
+    inputs="text",
+    outputs="text",
+    title="CryptoScout - CrewAI - Cryptocurrency Report Builder",
+    description="Enter a cryptocurrency name to analyze and generate a comprehensive investment report."
+)
+
+iface.launch()