Add beta API to summarize top search result using an OpenAI model

This is unlike the more general chat API that combines summarization
of top search result and conversing with the OpenAI model

This should give faster summary results. As no intent categorization
API call required

src/routers/api_beta.py

@@ -33,6 +33,21 @@ def search_beta(q: str, n: Optional[int] = 1):
     return {'status': 'ok', 'result': search_results, 'type': search_type}
 
 
+@api_beta.get('/summarize')
+def summarize_beta(q: str):
+    # Initialize Variables
+    model = state.processor_config.conversation.model
+    api_key = state.processor_config.conversation.openai_api_key
+
+    # Converse with OpenAI GPT
+    result_list = search(q, n=1, t=SearchType.Org, r=True)
+    collated_result = "\n".join([item.entry for item in result_list])
+    logger.debug(f'Semantically Similar Notes:\n{collated_result}')
+    gpt_response = summarize(collated_result, summary_type="notes", user_query=q, model=model, api_key=api_key)
+
+    return {'status': 'ok', 'response': gpt_response}
+
+
 @api_beta.get('/chat')
 def chat(q: str):
     # Load Conversation History