initial code

app.py

@@ -8,15 +8,11 @@ import os
 import requests
 import json
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-
 logging.basicConfig(level=logging.INFO)
 
 client = weaviate.connect_to_embedded(
     headers={
-        "X-Huggingface-Api-Key": os.environ["HUGGINGFACE_API_KEY"]  # Replace with your inference API key
+        "X-Huggingface-Api-Key": os.environ["HUGGINGFACE_API_KEY"]
     }
 )
 
@@ -36,7 +32,7 @@ questions = client.collections.create(
     generative_config=wvc.config.Configure.Generative.openai()  
 )
 resp = requests.get('https://raw.githubusercontent.com/databyjp/wv_demo_uploader/main/weaviate_datasets/data/jeopardy_1k.json')
-data = json.loads(resp.text)  # Load data
+data = json.loads(resp.text)
 
 question_objs = list()
 for i, d in enumerate(data):
@@ -49,20 +45,16 @@ for i, d in enumerate(data):
         "value": d["Value"]
 })
 
-logging.info('Importing Questions')
+logging.info('Importing 1000 Questions...')
 questions = client.collections.get("Question")
 questions.data.insert_many(question_objs)
 logging.info('Finished Importing Questions')
 
 def respond(query):
 
-    r = ""
-    if client.is_ready():
-      r = f'Found {len(client.cluster.nodes())} Weaviate nodes.'
-
     response = questions.query.near_text(
         query=query,
-        limit=2
+        limit=1
     )
 
     return response.objects[0].properties 
@@ -70,7 +62,7 @@ def respond(query):
 demo = gr.Interface(fn=respond, 
                     inputs=gr.Textbox(
                     label="Search the Jeopardy Vector Database",
-                        info="Query:",
+                        info="Enter a Query:",
                     lines=1,
                     value="Guitar",
                     ),