Update app.py

app.py

@@ -1,120 +1,99 @@
 import os
 import gradio as gr
 import requests
-import inspect
-import pandas as pd
 import time
+import pandas as pd
 
-# (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
-# --- Basic Agent Definition ---
-# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
-class BasicAgent:
+# --- Gemini Agent ---
+class GeminiAgent:
     def __init__(self):
-        self.api_key = os.getenv("GEMINI_API_KEY")  # Убедись, что ключ установлен в переменных окружения
-        self.api_url = "https://generativelanguage.googleapis.com/v1/models/gemini-pro:generateContent?key=" + self.api_key
+        self.api_key = os.getenv("GEMINI_API_KEY")
         if not self.api_key:
-            raise ValueError("❌ Отсутствует переменная окружения GEMINI_API_KEY")
-        print("✅ Gemini Agent initialized.")
+            raise ValueError("GEMINI_API_KEY environment variable not set.")
+        self.api_url = f"https://generativelanguage.googleapis.com/v1/models/gemini-1.5-pro:generateContent?key={self.api_key}"
+        print("GeminiAgent initialized.")
 
     def __call__(self, question: str) -> str:
         headers = {
             "Content-Type": "application/json"
         }
-
         payload = {
-            "contents": [
-                {
-                    "role": "user",
-                    "parts": [{"text": question}]
-                }
-            ]
+            "contents": [{
+                "role": "user",
+                "parts": [{"text": question}]
+            }]
         }
 
-        for attempt in range(3):  # Повтор до 3 раз
-            try:
-                response = requests.post(self.api_url, headers=headers, json=payload, timeout=30)
-
-                if response.status_code == 429:
-                    wait_time = 5 * (attempt + 1)
-                    print(f"⚠️ Попытка {attempt+1}: 429 Too Many Requests. Ждём {wait_time} сек...")
-                    time.sleep(wait_time)
-                    continue
-
-                if response.status_code == 400:
-                    print("❌ Ошибка 400. Ответ:", response.text)
-                    return "Ошибка 400: Неверный формат запроса"
-
-                response.raise_for_status()
-
-                data = response.json()
-                return data["candidates"][0]["content"]["parts"][0]["text"]
-
-            except Exception as e:
-                print("❌ Ошибка Gemini API:", e)
-                return f"Ошибка Gemini API: {e}"
-
-        return "❌ Не удалось получить ответ от Gemini API после нескольких попыток."
-
+        try:
+            response = requests.post(self.api_url, headers=headers, json=payload)
+            if response.status_code == 429:
+                print("Rate limit hit. Waiting 3 seconds before retrying...")
+                time.sleep(3)
+                response = requests.post(self.api_url, headers=headers, json=payload)
+
+            response.raise_for_status()
+            data = response.json()
+            return data['candidates'][0]['content']['parts'][0]['text']
+        except Exception as e:
+            print(f"Ошибка при вызове Gemini API: {e}")
+            return f"ERROR: {e}"
 
+# --- Evaluation and Submission ---
 def run_and_submit_all(profile: gr.OAuthProfile | None):
     space_id = os.getenv("SPACE_ID")
-
     if profile:
-        username = f"{profile.username}"
-        print(f"User logged in: {username}")
+        username = profile.username
     else:
-        print("User not logged in.")
-        return "Please Login to Hugging Face with the button.", None
+        return "Please login with Hugging Face to continue.", None
 
-    api_url = DEFAULT_API_URL
-    questions_url = f"{api_url}/questions"
-    submit_url = f"{api_url}/submit"
+    questions_url = f"{DEFAULT_API_URL}/questions"
+    submit_url = f"{DEFAULT_API_URL}/submit"
+    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
 
     try:
-        agent = BasicAgent()
+        agent = GeminiAgent()
     except Exception as e:
         return f"Error initializing agent: {e}", None
 
-    agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
-    print(agent_code)
-
-    print(f"Fetching questions from: {questions_url}")
+    # Fetch questions
     try:
         response = requests.get(questions_url, timeout=15)
         response.raise_for_status()
         questions_data = response.json()
-        if not questions_data:
-            return "Fetched questions list is empty or invalid format.", None
-        print(f"Fetched {len(questions_data)} questions.")
     except Exception as e:
         return f"Error fetching questions: {e}", None
 
-    results_log = []
+    # Answer questions
     answers_payload = []
-    print(f"Running agent on {len(questions_data)} questions...")
+    results_log = []
 
     for item in questions_data:
         task_id = item.get("task_id")
-        question_text = item.get("question")
-        if not task_id or question_text is None:
+        question = item.get("question")
+        if not task_id or question is None:
             continue
+
         try:
-            submitted_answer = agent(question_text)
-            answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
-            results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
+            answer = agent(question)
+            answers_payload.append({"task_id": task_id, "submitted_answer": answer})
+            results_log.append({"Task ID": task_id, "Question": question, "Submitted Answer": answer})
         except Exception as e:
-            results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
+            results_log.append({"Task ID": task_id, "Question": question, "Submitted Answer": f"ERROR: {e}"})
 
-        time.sleep(3)  # ⏳ Задержка между запросами
+        time.sleep(2)  # ⏳ delay to avoid rate limits
 
     if not answers_payload:
         return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
 
-    submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
-    print(f"Submitting {len(answers_payload)} answers to: {submit_url}")
+    # Submit answers
+    submission_data = {
+        "username": username,
+        "agent_code": agent_code,
+        "answers": answers_payload
+    }
 
     try:
         response = requests.post(submit_url, json=submission_data, timeout=60)
@@ -123,26 +102,29 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         final_status = (
             f"Submission Successful!\n"
             f"User: {result_data.get('username')}\n"
-            f"Overall Score: {result_data.get('score', 'N/A')}% "
-            f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')} correct)\n"
-            f"Message: {result_data.get('message', 'No message received.')}"
+            f"Score: {result_data.get('score', 'N/A')}% "
+            f"({result_data.get('correct_count')}/{result_data.get('total_attempted')})\n"
+            f"Message: {result_data.get('message')}"
         )
         return final_status, pd.DataFrame(results_log)
     except Exception as e:
         return f"Submission Failed: {e}", pd.DataFrame(results_log)
 
-
 # --- Gradio UI ---
 with gr.Blocks() as demo:
-    gr.Markdown("# Gemini Agent Evaluation (Unit 4)")
-    gr.Markdown("Log in to Hugging Face and submit your answers to the GAIA benchmark.")
-
+    gr.Markdown("## Gemini Agent Evaluation (Unit 4)")
+    gr.Markdown("""
+    1. Убедитесь, что вы установили `GEMINI_API_KEY` как переменную окружения.
+    2. Нажмите кнопку авторизации.
+    3. Нажмите **Run Evaluation** для запуска и отправки.
+    """)
     gr.LoginButton()
-    run_button = gr.Button("Run Evaluation & Submit All Answers")
-    status_output = gr.Textbox(label="Status", lines=5, interactive=False)
-    results_table = gr.DataFrame(label="Results", wrap=True)
+    run_btn = gr.Button("Run Evaluation & Submit All Answers")
+    status = gr.Textbox(label="Status")
+    table = gr.DataFrame(label="Answers Log", wrap=True)
 
-    run_button.click(fn=run_and_submit_all, outputs=[status_output, results_table])
+    run_btn.click(fn=run_and_submit_all, outputs=[status, table])
 
 if __name__ == "__main__":
-    demo.launch(debug=True)
+    print("Launching Gemini Agent Evaluation...")
+    demo.launch()