Update app.py

app.py

@@ -1,4 +1,5 @@
 import os
+import time
 import requests
 import pandas as pd
 import gradio as gr
@@ -6,7 +7,7 @@ from huggingface_hub import InferenceClient
 from duckduckgo_search import DDGS
 
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
-MODEL_ID = "Qwen/Qwen2.5-Coder-32B-Instruct"
+MODEL_ID = "meta-llama/Llama-3.3-70B-Instruct"
 
 class SmartSearchAgent:
     def __init__(self, token: str = None):
@@ -14,6 +15,8 @@ class SmartSearchAgent:
         self.client = InferenceClient(model=MODEL_ID, token=self.token)
 
     def search_web(self, query: str) -> str:
+        # Пауза 1.5 сек, чтобы DuckDuckGo не блокировал частые запросы
+        time.sleep(1.5)
         try:
             with DDGS() as ddgs:
                 results = list(ddgs.text(query, max_results=3))
@@ -21,22 +24,28 @@ class SmartSearchAgent:
                     return ""
                 return "\n".join([f"- {r.get('title', '')}: {r.get('body', '')}" for r in results])
         except Exception as e:
-            print(f"Search error: {e}")
+            print(f"Search warning for query '{query[:30]}...': {e}")
             return ""
 
     def __call__(self, question: str) -> str:
+        # Проверка: если текст вопроса перевернут задом наперед, переворачиваем его обратно
+        words = question.strip().split()
+        if len(words) > 0 and words[0].startswith("."):
+            question = question[::-1]
+
         search_results = self.search_web(question)
         
         system_prompt = (
-            "You are a benchmark solver. Respond with ONLY the exact answer. "
-            "If the answer is a number, output ONLY the digits/number. "
-            "Do NOT write full sentences, explanations, or notes. "
-            "Never use words like 'The answer is'."
+            "You are an expert GAIA benchmark solver. "
+            "Read the question carefully. If web context is provided, use it. "
+            "Your task is to provide ONLY the final short answer (a number, a word, or a short phrase). "
+            "Do NOT write explanations, full sentences, or Markdown tags. "
+            "Examples of good outputs: 5, right, Mercedes Sosa, 425."
         )
         
         user_content = f"Question: {question}"
         if search_results:
-            user_content += f"\n\nContext:\n{search_results}"
+            user_content += f"\n\nWeb Search Context:\n{search_results}"
             
         try:
             response = self.client.chat_completion(
@@ -44,19 +53,22 @@ class SmartSearchAgent:
                     {"role": "system", "content": system_prompt},
                     {"role": "user", "content": user_content}
                 ],
-                max_tokens=30,
+                max_tokens=60,
                 temperature=0.0
             )
             ans = response.choices[0].message.content.strip()
-            # Очищаем лишний текст, если модель написала предложение
+            
+            # Очистка от лишних предлогов и кавычек
             if "\n" in ans:
                 ans = ans.split("\n")[-1].strip()
-            if "FINAL ANSWER:" in ans:
-                ans = ans.split("FINAL ANSWER:")[-1].strip()
-            return ans.strip(" .\"'") if ans else "0"
+            if ":" in ans and len(ans.split(":")[-1].strip()) > 0:
+                ans = ans.split(":")[-1].strip()
+                
+            ans = ans.strip(" .\"'")
+            return ans if ans else "Unknown"
         except Exception as e:
             print(f"Inference error: {e}")
-            return "0"
+            return "Unknown"
 
 def run_and_submit_all(profile: gr.OAuthProfile | None):
     space_id = os.getenv("SPACE_ID")
@@ -83,7 +95,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
     results_log = []
     answers_payload = []
 
-    print(f"Running search agent on {len(questions_data)} questions...")
+    print(f"Running agent on {len(questions_data)} questions...")
 
     for item in questions_data:
         task_id = item.get("task_id")