Upload app2.py

app2.py

@@ -0,0 +1,115 @@
+import os
+import streamlit as st
+from crewai import Agent, Task, Crew, LLM
+
+# Set your Gemini AI API key and model
+gemini_api_key = "AIzaSyAC_i-I9uCP2UP14H89uigWP7MDM2xQno8"
+serper_api_key = "b86545fdabc35dcb13fd8cc0a9b88c3a17b6dc89"
+os.environ["GEMINI_API_KEY"] = gemini_api_key
+
+# Initialize the LLM instance
+my_llm = LLM(
+    api_key=gemini_api_key,
+    model="gemini/gemini-pro"
+)
+
+# Define your agents with roles, goals, and backstory
+researcher = Agent(
+    role="Market Researcher",
+    goal=(
+        f"Gather detailed information about {company_name}, including its market position, "
+        f"competitor strategies, customer segments, and latest trends in the industry. "
+        f"Leverage tools like online databases, market reports, and press releases to provide comprehensive insights."
+    ),
+    backstory=(
+        f"You are an experienced market researcher with expertise in extracting actionable intelligence "
+        f"about companies like {company_name}. You excel in identifying emerging opportunities, uncovering "
+        f"competitor strengths, and analyzing industry dynamics to provide a complete overview of the business landscape."
+    ),
+    llm=my_llm,
+    allow_delegation=False,
+    verbose=True,
+   
+)
+analyzer = Agent(
+    role="Data Analyzer",
+    goal=(
+        f"Analyze {company_name}'s financial performance, operational metrics, strengths, and weaknesses. "
+        f"Identify key performance indicators (KPIs) and assess the impact of external factors like market trends "
+        f"and economic conditions. Provide actionable insights and recommendations for improvement."
+    ),
+    backstory=(
+        f"You are a skilled data analyst with extensive experience in dissecting business data. Your expertise lies in "
+        f"transforming raw data into meaningful insights, creating detailed performance analyses, and offering strategic guidance "
+        f"tailored to companies like {company_name}. You utilize advanced analytics tools to generate reliable and insightful reports."
+    ),
+    llm=my_llm,
+    allow_delegation=False,
+    verbose=True,
+)
+research_task = Task(
+    description=f"Conduct research on {company_name}, focusing on its competitors, market trends, and customer demographics.",
+    expected_output=f"A detailed research document outlining {company_name}'s market position, competitor insights, and growth opportunities.",
+    agent=researcher,
+)
+
+analysis_task = Task(
+    description=f"Perform an in-depth analysis of {company_name}'s financial performance, operational metrics, and market impact.",
+    expected_output=f"A comprehensive report on {company_name}'s strengths, weaknesses, and actionable recommendations for growth.",
+    agent=analyzer,
+)
+
+final_article_task = Task(
+    description=f"Combine the research and analysis results into a final article that provides a holistic overview of {company_name}.",
+    expected_output=f"A well-structured final analysis article about {company_name}, including actionable recommendations.",
+    context=[research_task, analysis_task],
+    agent=researcher,
+)
+# comparator = Agent(
+#     role="Comparator",
+#     goal="Compare the company with its competitors and provide actionable suggestions.",
+#     backstory="You specialize in comparing companies and offering improvement strategies.",
+#     llm=my_llm,
+#     allow_delegation=False,
+#     verbose=True,
+# )
+
+# Define Tasks for Agents
+
+# Create the crew with your agents and tasks
+company_analysis_crew = Crew(
+    agents=[researcher, analyzer],
+    tasks=[research_task, analysis_task, final_article_task],
+    verbose=True,
+)
+
+# Streamlit Interface for user input
+st.title("Company  Analysis")
+
+# Input section for company and competitors
+st.write("Enter Company Details")
+company_name = st.text_input(":)")
+# competitor_list = st.text_area(
+#     "List of Competitors (comma-separated)",
+#     "Competitor A, Competitor B, Competitor C"
+# )
+
+# Start the analysis when the user clicks the button
+if st.button("Start Analysis"):
+    st.write("Running Analysis... Please wait.")
+    
+    # Define inputs for the analysis tasks
+    inputs = {
+        "company_name": company_name,
+        # "competitors": competitor_list.split(","),
+    }
+    
+    # Kick off the Crew Process
+    results = company_analysis_crew.kickoff(inputs=inputs)
+    st.markdown(results)
+    
+        # Display Results
+    st.success("Analysis Completed!")
+    if "final_article.md" in results:
+        st.header("Final Analysis Article")
+        st.markdown(results["final_article.md"], unsafe_allow_html=True)