openai and cloud integration

5_Assignment_openai/.env

+OPENAI_API_KEY=ab12
+ANTHROPIC_API_KEY=cd34

5_Assignment_openai/main.py

+import os
+from dotenv import load_dotenv
+import openai
+import anthropic
+
+# Load API keys
+load_dotenv()
+openai.api_key = os.getenv("OPENAI_API_KEY")
+claude_client = anthropic.Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))
+
+# Step 1: Claude does the topic research
+def research_with_claude(topic: str) -> str:
+    print(f"🔍 Researching topic: {topic}")
+    response = claude_client.messages.create(
+        model="claude-3-sonnet-20240229",
+        max_tokens=1024,
+        temperature=0.5,
+        messages=[
+            {"role": "user", "content": f"Conduct detailed research on: {topic}. Include facts, trends, and examples."}
+        ]
+    )
+    return response.content[0].text
+
+# Step 2: OpenAI summarizes the research
+def summarize_with_openai(content: str) -> str:
+    print("📝 Generating summary...")
+    response = openai.ChatCompletion.create(
+        model="gpt-4",
+        messages=[
+            {"role": "system", "content": "You are a summarizer assistant."},
+            {"role": "user", "content": f"Summarize the following content:\n\n{content}"}
+        ],
+        temperature=0.7,
+        max_tokens=300
+    )
+    return response["choices"][0]["message"]["content"]
+
+# Main function
+if __name__ == "__main__":
+    topic = input("Enter a topic for research: ")
+    research_text = research_with_claude(topic)
+    print("\n📚 Research Output:\n", research_text)
+
+    summary = summarize_with_openai(research_text)
+    print("\n📌 Summary:\n", summary)