adding app.py

README.md

@@ -1,12 +1,15 @@
 ---
-title: Sbr Final Agent
-emoji: 🔥
+title: Template Final Assignment
+emoji: 🕵🏻‍♂️
 colorFrom: indigo
-colorTo: green
+colorTo: indigo
 sdk: gradio
-sdk_version: 5.34.2
+sdk_version: 5.25.2
 app_file: app.py
 pinned: false
+hf_oauth: true
+# optional, default duration is 8 hours/480 minutes. Max duration is 30 days/43200 minutes.
+hf_oauth_expiration_minutes: 480
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,149 @@
+import os
+import gradio as gr
+import requests
+import pandas as pd
+
+# --- Constants ---
+DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
+
+# --- Basic Agent ---
+class BasicAgent:
+    def __init__(self):
+        print("BasicAgent initialized.")
+
+    def __call__(self, question: str) -> str:
+        print(f"Agent received question (first 50 chars): {question[:50]}...")
+        fixed_answer = "This is a default answer."
+        print(f"Agent returning fixed answer: {fixed_answer}")
+        return fixed_answer
+
+# --- Run Agent only (generate answers, don't submit) ---
+def run_agent_only(profile: gr.OAuthProfile | None):
+    if not profile:
+        return "Please login first.", None, None
+
+    try:
+        agent = BasicAgent()
+    except Exception as e:
+        return f"Error initializing agent: {e}", None, None
+
+    questions_url = f"{DEFAULT_API_URL}/questions"
+    try:
+        response = requests.get(questions_url, timeout=10)
+        response.raise_for_status()
+        questions_data = response.json()
+    except Exception as e:
+        return f"Failed to fetch questions: {e}", None, None
+
+    results_log = []
+    answers_payload = []
+
+    for item in questions_data:
+        task_id = item.get("task_id")
+        question_text = item.get("question")
+        if not task_id or not question_text:
+            continue
+        try:
+            answer = agent(question_text)
+            results_log.append({
+                "Task ID": task_id,
+                "Question": question_text,
+                "Submitted Answer": answer
+            })
+            answers_payload.append({
+                "task_id": task_id,
+                "submitted_answer": answer
+            })
+        except Exception as e:
+            results_log.append({
+                "Task ID": task_id,
+                "Question": question_text,
+                "Submitted Answer": f"ERROR: {e}"
+            })
+
+    return "✅ Answers generated. You can now submit.", pd.DataFrame(results_log), answers_payload
+
+# --- Submit answers only ---
+def submit_only(profile: gr.OAuthProfile | None, answers_payload: list | None):
+    if not profile:
+        return "Please login first.", None
+    if not answers_payload:
+        return "No answers to submit. Run the agent first.", None
+
+    username = profile.username
+    space_id = os.getenv("SPACE_ID")
+    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
+    submit_url = f"{DEFAULT_API_URL}/submit"
+
+    try:
+        submission_data = {
+            "username": username.strip(),
+            "agent_code": agent_code,
+            "answers": answers_payload
+        }
+        response = requests.post(submit_url, json=submission_data, timeout=30)
+        response.raise_for_status()
+        result_data = response.json()
+        final_status = (
+            f"🎉 Submission Successful!\n"
+            f"👤 User: {result_data.get('username')}\n"
+            f"✅ Score: {result_data.get('score')}%\n"
+            f"🎯 Correct: {result_data.get('correct_count')}/{result_data.get('total_attempted')}"
+        )
+        return final_status, None
+    except Exception as e:
+        return f"❌ Submission failed: {e}", None
+
+# --- Gradio Interface ---
+with gr.Blocks() as demo:
+    gr.Markdown("# 🤖 Basic Agent Evaluation Runner")
+    gr.Markdown("""
+    **Steps to Complete Your Hugging Face Certification:**
+    1. Clone this Space and build your own logic in the `BasicAgent`.
+    2. Log in using the Hugging Face button.
+    3. Click `Run Agent` to generate answers.
+    4. Once ready, click `Submit` to send your answers and view your score.
+    """)
+
+    gr.LoginButton()
+
+    run_button = gr.Button("🧠 Run Agent (Generate Answers)")
+    submit_button = gr.Button("📤 Submit All Answers")
+
+    status_output = gr.Textbox(label="Status", lines=5, interactive=False)
+    results_table = gr.DataFrame(label="Agent Answers", wrap=True)
+
+    answers_state = gr.State(value=None)
+
+    run_button.click(
+        fn=run_agent_only,
+        inputs=[gr.OAuthProfile()],
+        outputs=[status_output, results_table, answers_state]
+    )
+
+    submit_button.click(
+        fn=submit_only,
+        inputs=[gr.OAuthProfile(), answers_state],
+        outputs=[status_output, results_table]
+    )
+
+# --- App Startup Info ---
+if __name__ == "__main__":
+    print("\n" + "-"*30 + " App Starting " + "-"*30)
+    space_host_startup = os.getenv("SPACE_HOST")
+    space_id_startup = os.getenv("SPACE_ID")
+
+    if space_host_startup:
+        print(f"✅ SPACE_HOST: https://{space_host_startup}.hf.space")
+    else:
+        print("ℹ️  SPACE_HOST not found.")
+
+    if space_id_startup:
+        print(f"✅ SPACE_ID: {space_id_startup}")
+        print(f"   Repo: https://huggingface.co/spaces/{space_id_startup}")
+    else:
+        print("ℹ️  SPACE_ID not found.")
+
+    print("-"*(60 + len(" App Starting ")) + "\n")
+
+    demo.launch(debug=True, share=False)

requirements.txt

@@ -0,0 +1,2 @@
+gradio
+requests