Introduce search api endpoint that auto infers search type intent

- Introduce prompt for GPT to automatically extract user's search intent
- Expose new search api endpoint to use that to set SearchType being
  passed to search API
- Currently meant as an experimental API to gauge usefulness,
  extendability. Evaluating for phone or voice use-case

src/main.py

@@ -15,7 +15,7 @@ from src.utils.helpers import get_absolute_path, get_from_dict
 from src.utils.cli import cli
 from src.utils.config import SearchType, SearchModels, ProcessorConfigModel, ConversationProcessorConfigModel
 from src.utils.rawconfig import FullConfig
-from src.processor.conversation.gpt import converse, message_to_log, message_to_prompt, understand, summarize
+from src.processor.conversation.gpt import converse, extract_search_type, message_to_log, message_to_prompt, understand, summarize
 
 # Application Global State
 config = FullConfig()
@@ -96,6 +96,19 @@ def regenerate(t: Optional[SearchType] = None):
     return {'status': 'ok', 'message': 'regeneration completed'}
 
 
+@app.get('/beta/search')
+def search_beta(q: str, n: Optional[int] = 1):
+    # Extract Search Type using GPT
+    metadata = extract_search_type(q, api_key=processor_config.conversation.openai_api_key, verbose=verbose)
+    search_type = get_from_dict(metadata, "search-type")
+
+    # Search
+    search_results = search(q, n=n, t=SearchType(search_type))
+
+    # Return response
+    return {'status': 'ok', 'result': search_results, 'type': search_type}
+
+
 @app.get('/chat')
 def chat(q: str):
     # Load Conversation History