Update app.py

Updated code for testing login

app.py

@@ -3,8 +3,8 @@ from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExport
 from openinference.instrumentation.smolagents import SmolagentsInstrumentor
 from opentelemetry.sdk.trace import TracerProvider
 from opentelemetry import trace
-# from evaluator import Evaluator
-# from runner import Runner
+from evaluator import Evaluator
+from runner import Runner
 from settings import Settings
 import os
 import pandas as pd
@@ -13,8 +13,8 @@ import logging
 logging.basicConfig(level=logging.INFO, force=True)
 logger = logging.getLogger(__name__)
 settings = Settings()
-# evaluator = Evaluator(settings)
-# runner = Runner(settings)
+evaluator = Evaluator(settings)
+runner = Runner(settings)
 
 
 # Create a TracerProvider for OpenTelemetry
@@ -40,28 +40,27 @@ def user_logged_in(profile: gr.OAuthProfile):
         return False
         
 LOGIN_MESSAGE = "Please Login to Hugging Face with the button."
+EMPTY_RESULTS_TABLE = pd.DataFrame(columns=['task_id', 'question', 'answer'])
 
 def run_one(profile: gr.OAuthProfile | None) -> pd.DataFrame:
     if not user_logged_in(profile): 
-        return LOGIN_MESSAGE
+        return LOGIN_MESSAGE, EMPTY_RESULTS_TABLE
     # questions = [evaluator.get_one_question()]
-    # return runner.run_agent(questions)
-    logger.info("test_mode")
-    return pd.DataFrame(columns=['task_id', 'question', 'answer'])
-    
+    # return "Answer one random question...", runner.run_agent(questions)
+    return "You are logged in.", EMPTY_RESULTS_TABLE
+
 def run_all(profile: gr.OAuthProfile | None) -> pd.DataFrame:
     if not user_logged_in:
-        return LOGIN_MESSAGE
+        return LOGIN_MESSAGE, EMPTY_RESULTS_TABLE
     # questions = evaluator.get_questions()
-    # return runner.run_agent(questions)
-    logger.info("not test_mode")
-    return pd.DataFrame(columns=['task_id', 'question', 'answer'])
+    # return "Answer all 20 questions...", runner.run_agent(questions)
+    return "You are logged in.", EMPTY_RESULTS_TABLE
 
 def submit():
     if not user_logged_in:
         return LOGIN_MESSAGE
     # evaluator.submit_answers()
-    logger.info("submit")
+    return "You are logged in.", EMPTY_RESULTS_TABLE
 
 
 # --- Build Gradio Interface using Blocks ---
@@ -71,15 +70,15 @@ with gr.Blocks() as demo:
         """
         **Instructions:**
 
-        1.  Click 'Get One Answer' to fetch a ranodom question, run the agent, and see the question-answer pair below
-        2.  Click 'Run Full Evaluation' to fetch all question, run the agent, and see the question-answer pairs below
-        3.  Click 'Submit All Answers' to fetch questions, run your agent, submit answers, and see the score.
+        1.  Log in to your Hugging Face account using the button below. This will NOT use your HF username for submission.
+        2.  Click 'Get One Answer' to fetch a ranodom question or 'Get All Answers' to run the agent. 
+        3.  Click 'Submit All Answers' to submit answers for evaluation and see the score.
 
         ---
         **Disclaimers:**
-        Once clicking 'Submit All Answers', it can take quite some time (this is the time for the agent to go through all the questions).
-        The agent will run questions in parallel for the full evaluation, making observability tools a must. 
-        The submit button will use the most recent agent answers cached in the space.
+        Once clicking 'Get All Answers', it can take quite some time (this is the time for the agent to go through all 20 questions).
+        The agent will run question tasks in parallel making observability tools a must. Langfuse instrumentation has been configured. 
+        The 'Submit All Answers' button will use the most recent agent answers cached in the space for your username.
         """
     )
 
@@ -95,10 +94,10 @@ with gr.Blocks() as demo:
         label="Questions and Agent Answers", wrap=True)
 
     run_one_button.click(
-        fn=run_one, outputs=[results_table]
+        fn=run_one, outputs=[status_output, results_table]
     )
     run_all_button.click(
-        fn=run_all, outputs=[results_table]
+        fn=run_all, outputs=[status_output, results_table]
     )
     submit_button.click(
         fn=submit,