Update app.py

app.py

@@ -39,7 +39,7 @@ log_file = Path("logs/") / f"data_{uuid.uuid4()}.json"
 log_folder = log_file.parent
 
 scheduler = CommitScheduler(
-    repo_id="document-qna-chroma-anyscale-docs",
+    repo_id="document-qna-chroma-anyscale-logs",
     repo_type="dataset",
     folder_path=log_folder,
     path_in_repo="data",
@@ -65,6 +65,7 @@ Here are some documents that are relevant to the question.
 ```
 """
 
+# Define the predict function that runs when 'Submit' is clicked or when a API request is made
 def predict(user_input):
 
     relevant_document_chunks = retriever.invoke(user_input)
@@ -111,7 +112,8 @@ def predict(user_input):
 
 textbox = gr.Textbox(placeholder="Enter your query here", lines=6)
 
-interface = gr.Interface(
+# Create the interface
+demo = gr.Interface(
     inputs=textbox, fn=predict, outputs="text",
     title="AMA on Tesla 10-K statements",
     description="This web API presents an interface to ask questions on contents of the Tesla 10-K reports for the period 2019 - 2023.",
@@ -120,11 +122,9 @@ interface = gr.Interface(
               ["Summarize the Management Discussion and Analysis section of the 2021 report in 50 words.", ""],
               ["What was the company's debt level in 2020?", ""],
               ["Identify 5 key risks identified in the 2019 10k report? Respond with bullet point summaries.", ""]
-             ]
+             ],
+    concurrency_limit=16
 )
 
-with gr.Blocks() as demo:
-    interface.launch()
-
-demo.queue(concurrency_count=16)
+demo.queue()
 demo.launch()