Update app.py
Browse files
app.py
CHANGED
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@@ -19,7 +19,7 @@ class BasicAgent:
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# Try to provide context-aware answers
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if "capital" in question_lower:
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if "france" in question_lower:
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return "Paris"
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elif "germany" in question_lower:
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return "Berlin"
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@@ -30,22 +30,22 @@ class BasicAgent:
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elif "japan" in question_lower:
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return "Tokyo"
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if "who" in question_lower and "ceo" in question_lower:
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if "tesla" in question_lower or "spacex" in question_lower:
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return "Elon Musk"
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elif "apple" in question_lower:
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return "Tim Cook"
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elif "microsoft" in question_lower:
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return "Satya Nadella"
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if "what year" in question_lower or "when" in question_lower:
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if "world war 2" in question_lower or "wwii" in question_lower:
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return "1939-1945"
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elif "world war 1" in question_lower or "wwi" in question_lower:
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return "1914-1918"
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if "how many" in question_lower:
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if "planets" in question_lower:
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return "8"
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elif "continents" in question_lower:
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return "7"
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@@ -55,18 +55,20 @@ class BasicAgent:
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print(f"Agent returning answer: {answer}")
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return answer
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def run_and_submit_all(profile
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"""
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Fetches all questions, runs the BasicAgent on them, submits all answers, and displays the results.
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"""
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# --- Determine HF Space Runtime URL and Repo URL ---
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space_id = os.getenv("SPACE_ID")
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else:
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print("User not logged in.")
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return "Please
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api_url = DEFAULT_API_URL
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questions_url = f"{api_url}/questions"
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@@ -96,10 +98,10 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
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print(f"Error fetching questions: {e}")
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return f"Error fetching questions: {e}", None
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except requests. exceptions.JSONDecodeError as e:
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print(f"Error decoding JSON response from questions endpoint:
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print(f"Response text: {response.text[:500]}")
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return f"Error decoding server response for questions: {e}", None
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except Exception as e:
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print(f"An unexpected error occurred fetching questions: {e}")
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return f"An unexpected error occurred fetching questions: {e}", None
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@@ -107,10 +109,10 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
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results_log = []
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answers_payload = []
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print(f"Running agent on {len(questions_data)} questions...")
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for item in questions_data:
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task_id = item.get("task_id")
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question_text = item.get("question")
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if not task_id or question_text is None:
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print(f"Skipping item with missing task_id or question: {item}")
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continue
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@@ -118,24 +120,24 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
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answer = agent(question_text)
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answers_payload.append({"task_id": task_id, "answer": answer})
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results_log.append((task_id, question_text[: 50], answer[: 100]))
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except Exception as e:
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print(f"Error running agent on question {task_id}:
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answers_payload.append({"task_id":
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results_log.append((task_id, question_text[:50], f"Error: {e}"))
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# 4. Submit answers
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print(f"Submitting {len(answers_payload)} answers to {submit_url}...")
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try:
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submit_response = requests.post(
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submit_url,
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json={"username": username, "answers": answers_payload},
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timeout=30
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)
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submit_response.raise_for_status()
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submission_result = submit_response.json()
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print(f"Submission successful: {submission_result}")
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except Exception as e:
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print(f"Error submitting answers:
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return f"Error submitting answers: {e}", None
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# Display results
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@@ -145,31 +147,31 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
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return result_message, results_df
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# --- Gradio UI Setup ---
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with gr.Blocks() as demo:
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gr.Markdown("""
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# 🤖 Agent Final Assignment - Unit 4
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**Instructions:**
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1.
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2. Click "Run Evaluation & Submit All Answers"
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3. Wait for your score!
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This agent will answer questions and submit results automatically.
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""")
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with gr.Row():
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hf_profile = gr.OAuthProfile()
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with gr.Row():
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submit_button = gr.Button("🚀 Run Evaluation & Submit All Answers", variant="primary", size="lg")
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output_text = gr.Markdown()
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output_table = gr.
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def submit_work(profile):
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return status, table
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submit_button.click(
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demo.launch()
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# Try to provide context-aware answers
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if "capital" in question_lower:
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if "france" in question_lower:
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return "Paris"
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elif "germany" in question_lower:
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return "Berlin"
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elif "japan" in question_lower:
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return "Tokyo"
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if "who" in question_lower and "ceo" in question_lower:
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if "tesla" in question_lower or "spacex" in question_lower:
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return "Elon Musk"
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elif "apple" in question_lower:
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return "Tim Cook"
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elif "microsoft" in question_lower:
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return "Satya Nadella"
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if "what year" in question_lower or "when" in question_lower:
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if "world war 2" in question_lower or "wwii" in question_lower:
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return "1939-1945"
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elif "world war 1" in question_lower or "wwi" in question_lower:
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return "1914-1918"
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if "how many" in question_lower:
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if "planets" in question_lower:
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return "8"
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elif "continents" in question_lower:
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return "7"
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print(f"Agent returning answer: {answer}")
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return answer
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def run_and_submit_all(profile):
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"""
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Fetches all questions, runs the BasicAgent on them, submits all answers, and displays the results.
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"""
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# --- Determine HF Space Runtime URL and Repo URL ---
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space_id = os.getenv("SPACE_ID")
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# Check if user is logged in
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if profile is None:
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print("User not logged in.")
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return "❌ Please login to Hugging Face using the button above.", None
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username = profile.username
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print(f"User logged in: {username}")
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api_url = DEFAULT_API_URL
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questions_url = f"{api_url}/questions"
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print(f"Error fetching questions: {e}")
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return f"Error fetching questions: {e}", None
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except requests. exceptions.JSONDecodeError as e:
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print(f"Error decoding JSON response from questions endpoint: {e}")
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print(f"Response text: {response.text[:500]}")
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return f"Error decoding server response for questions: {e}", None
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except Exception as e:
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print(f"An unexpected error occurred fetching questions: {e}")
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return f"An unexpected error occurred fetching questions: {e}", None
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results_log = []
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answers_payload = []
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print(f"Running agent on {len(questions_data)} questions...")
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for item in questions_data:
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task_id = item. get("task_id")
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question_text = item.get("question")
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if not task_id or question_text is None:
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print(f"Skipping item with missing task_id or question: {item}")
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continue
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answer = agent(question_text)
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answers_payload.append({"task_id": task_id, "answer": answer})
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results_log.append((task_id, question_text[: 50], answer[: 100]))
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except Exception as e:
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print(f"Error running agent on question {task_id}: {e}")
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answers_payload.append({"task_id": task_id, "answer": f"Error: {e}"})
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results_log.append((task_id, question_text[: 50], f"Error: {e}"))
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# 4. Submit answers
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print(f"Submitting {len(answers_payload)} answers to {submit_url}...")
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try:
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submit_response = requests.post(
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submit_url,
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json={"username": username, "answers": answers_payload},
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timeout=30
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)
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submit_response.raise_for_status()
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submission_result = submit_response.json()
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print(f"Submission successful: {submission_result}")
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except Exception as e:
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print(f"Error submitting answers: {e}")
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return f"Error submitting answers: {e}", None
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# Display results
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return result_message, results_df
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# --- Gradio UI Setup ---
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with gr. Blocks() as demo:
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gr.Markdown("""
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# 🤖 Agent Final Assignment - Unit 4
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**Instructions:**
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1. Make sure you're logged in to Hugging Face (check top right)
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2. Click "Run Evaluation & Submit All Answers" below
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3. Wait for your score!
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This agent will answer questions and submit results automatically.
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""")
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with gr.Row():
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submit_button = gr.Button("🚀 Run Evaluation & Submit All Answers", variant="primary", size="lg")
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output_text = gr.Markdown()
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output_table = gr.Dataframe(label="Results")
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def submit_work(profile):
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return run_and_submit_all(profile)
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submit_button. click(
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submit_work,
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inputs=gr.OAuthProfile(),
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outputs=[output_text, output_table]
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)
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demo.launch()
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