Upload multi_agent_workflow.py

multi_agent_workflow.py

@@ -0,0 +1,89 @@
+import requests
+import pandas as pd
+
+# Set your SerpAPI key
+API_KEY = "533b5ecf4f322a3e1fb6c6341fc922267805add7e804f7783949a17175ed2f69"
+BASE_URL = "https://serpapi.com/search"
+
+def research_company(company_name):
+    """Search for company information using SerpAPI."""
+    params = {
+        "engine": "google",
+        "q": f"{company_name} company overview",
+        "api_key": API_KEY,
+        "num": 10  # Number of results to return
+    }
+    
+    # Perform the search using SerpAPI
+    response = requests.get(BASE_URL, params=params)
+    
+    if response.status_code == 200:
+        data = response.json()
+        
+        # Extracting relevant information
+        results = []
+        for item in data.get("organic_results", []):
+            title = item.get("title")
+            link = item.get("link")
+            snippet = item.get("snippet")
+            results.append({"Title": title, "Link": link, "Snippet": snippet})
+        
+        return results
+    else:
+        print(f"Error fetching data: {response.status_code}")
+        return None
+
+def identify_key_offerings():
+    """Identify key offerings and focus areas."""
+    key_offerings = [
+        "Consulting Services",
+        "Audit Services",
+        "Tax Advisory",
+        "Risk Management",
+        "Financial Advisory",
+        "Technology Implementation"
+    ]
+    
+    focus_areas = [
+        "Operations",
+        "Supply Chain Management",
+        "Customer Experience",
+        "Digital Transformation",
+        "Sustainability",
+        "Cybersecurity"
+    ]
+    
+    return key_offerings, focus_areas
+
+def save_results_to_csv(results, company_name):
+    """Save research results to a CSV file."""
+    df = pd.DataFrame(results)
+    filename = f"{company_name}_research_results.csv"
+    df.to_csv(filename, index=False)
+    print(f"Results saved to {filename}")
+    return filename
+
+if __name__ == "__main__":
+    company_name = "Deloitte"
+    
+    print(f"Researching {company_name}...")
+    results = research_company(company_name)
+    
+    if results:
+        print(f"\nResearch results for {company_name}:")
+        for i, item in enumerate(results):
+            print(f"{i + 1}: {item['Title']} - {item['Link']}")
+            print(f"Snippet: {item['Snippet']}\n")
+        
+        key_offerings, focus_areas = identify_key_offerings()
+        
+        print(f"\nKey Offerings of {company_name}:")
+        for offering in key_offerings:
+            print(f"- {offering}")
+        
+        print(f"\nStrategic Focus Areas of {company_name}:")
+        for area in focus_areas:
+            print(f"- {area}")
+        
+        # Save results to CSV
+        save_results_to_csv(results, company_name)