fix(examples): update text intelligence example to use correct response structure

- Access results from response.results object instead of direct attributes
- Properly access sentiments, summary, topics, and intents from nested structure
- Add example output for segments and improve formatting

Author: lukeocodes

examples/40-text-intelligence.py

@@ -24,18 +24,56 @@
     )
 
     print("Analysis received:")
-    print(f"Sentiment: {response.sentiment}")
-    if response.summary:
-        print(f"Summary: {response.summary}")
-    if response.topics:
-        print(f"Topics: {response.topics}")
-    if response.intents:
-        print(f"Intents: {response.intents}")
+    
+    # Access results from the response.results object
+    if response.results.sentiments:
+        if response.results.sentiments.average:
+            print(f"Average Sentiment: {response.results.sentiments.average.sentiment} (score: {response.results.sentiments.average.sentiment_score})")
+        if response.results.sentiments.segments:
+            print(f"Sentiment segments: {len(response.results.sentiments.segments)} found")
+    
+    if response.results.summary:
+        if response.results.summary.results and response.results.summary.results.summary:
+            print(f"Summary: {response.results.summary.results.summary.summary}")
+    
+    if response.results.topics:
+        if response.results.topics.results and response.results.topics.results.topics:
+            segments = response.results.topics.results.topics.segments
+            if segments:
+                print(f"Topics found: {len(segments)} segments")
+                # Access topics from segments
+                for segment in segments[:3]:  # Show first 3 segments
+                    if segment.topics:
+                        topic_names = [topic.topic for topic in segment.topics if hasattr(topic, 'topic')]
+                        if topic_names:
+                            print(f"  - {', '.join(topic_names)}")
+    
+    if response.results.intents:
+        if response.results.intents.results and response.results.intents.results.intents:
+            segments = response.results.intents.results.intents.segments
+            if segments:
+                print(f"Intents found: {len(segments)} segments")
+                # Access intents from segments
+                for segment in segments[:3]:  # Show first 3 segments
+                    if segment.intents:
+                        intent_names = [intent.intent for intent in segment.intents if hasattr(intent, 'intent')]
+                        if intent_names:
+                            print(f"  - {', '.join(intent_names)}")
 
     # For async version:
     # from deepgram import AsyncDeepgramClient
     # client = AsyncDeepgramClient()
-    # response = await client.read.v1.text.analyze(...)
+    # response = await client.read.v1.text.analyze(
+    #     request={"text": "Hello, world! This is a sample text for analysis."},
+    #     language="en",
+    #     sentiment=True,
+    #     summarize=True,
+    #     topics=True,
+    #     intents=True,
+    # )
+
+    # With access token:
+    # client = DeepgramClient(access_token="your-access-token")
 
 except Exception as e:
     print(f"Error: {e}")