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Update app.py
Browse files
app.py
CHANGED
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@@ -22,24 +22,17 @@ def download_task_file(task_id: str) -> str:
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match = re.search(r'filename="?([^"]+)"?', cd)
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if match:
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filename = match.group(1)
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-
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with open(filename, 'wb') as f:
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f.write(response.content)
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-
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# Give the agent explicit instructions on how to read the file
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return (
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f"\n[SYSTEM:
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f"
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f"PYTHON:\n```python\n"
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f"# Try reading as text first\n"
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f"try:\n"
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f" with open('{filename}', 'r', encoding='utf-8') as f:\n"
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f" print(f.read())\n"
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f"except:\n"
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f" # If binary, read as bytes and show first 2000 chars\n"
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f" with open('{filename}', 'rb') as f:\n"
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f"
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f" print(repr(data[:2000]))\n"
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f"```\n]\n"
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)
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return ""
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@@ -52,24 +45,23 @@ def web_search(query: str) -> str:
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try:
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from ddgs import DDGS
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with DDGS() as ddgs:
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results = list(ddgs.text(query, max_results=
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if not results:
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return "No results found."
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output = []
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for r in results:
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output.append(f"Title: {r.get('title',
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return "\n---\n".join(output)
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except ImportError:
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# Fallback to old package name
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try:
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from duckduckgo_search import DDGS
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with DDGS() as ddgs:
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results = list(ddgs.text(query, max_results=
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if not results:
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return "No results found."
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output = []
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for r in results:
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output.append(f"Title: {r.get('title',
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return "\n---\n".join(output)
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except Exception as e:
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return f"Search error: {e}"
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@@ -83,20 +75,16 @@ def web_fetch(url: str) -> str:
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headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"}
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response = requests.get(url, timeout=20, headers=headers)
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response.raise_for_status()
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# Try to parse as HTML
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try:
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from bs4 import BeautifulSoup
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soup = BeautifulSoup(response.text, "html.parser")
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# Remove scripts and styles
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for tag in soup(["script", "style", "nav", "footer"]):
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tag.decompose()
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text = soup.get_text(separator="\n", strip=True)
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# Collapse excessive newlines
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text = re.sub(r'\n{3,}', '\n\n', text)
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return text[:
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except ImportError:
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return response.text[:
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except Exception as e:
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return f"Fetch error: {e}"
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@@ -120,7 +108,7 @@ def wikipedia_search(query: str) -> str:
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pages = summary_data.get("query", {}).get("pages", {})
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for page_id, page in pages.items():
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extract = page.get("extract", "No content available.")
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return f"Wikipedia: {title}\n\n{extract[:
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return "No content found."
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except Exception as e:
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return f"Wikipedia error: {e}"
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@@ -135,9 +123,9 @@ def run_python(code: str) -> str:
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exec_globals = {}
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exec(code, exec_globals)
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output = sys.stdout.getvalue()
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return output if output else "Code
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except Exception as e:
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return f"Python
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finally:
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sys.stdout = old_stdout
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@@ -146,13 +134,16 @@ class SmartAgent:
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def __init__(self):
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self.api_key = os.getenv("GROQ_API_KEY")
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if not self.api_key:
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raise ValueError("GROQ_API_KEY
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self.api_url = "https://api.groq.com/openai/v1/chat/completions"
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self.model = "llama-3.1-8b-instant"
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print(f"SmartAgent initialized with Groq ({self.model})")
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def call_llm(self, prompt: str) -> str:
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headers = {
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"Authorization": f"Bearer {self.api_key}",
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"Content-Type": "application/json"
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@@ -161,7 +152,7 @@ class SmartAgent:
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"model": self.model,
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"messages": [{"role": "user", "content": prompt}],
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"temperature": 0.1,
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"max_tokens":
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}
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wait_times = [20, 40, 80]
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@@ -174,104 +165,97 @@ class SmartAgent:
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except requests.exceptions.HTTPError as e:
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status = response.status_code
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if status in [429, 503, 500]:
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print(f"Groq API Error ({status})! Waiting {wait_time}
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time.sleep(wait_time)
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else:
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raise e
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raise Exception("Failed
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def __call__(self, question: str, task_id: str) -> str:
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print(f"\nQuestion: {question[:100]}...")
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file_alert = download_task_file(task_id)
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system = """You are an
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You have access to these tools:
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- SEARCH: Search the web for current information
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- WIKIPEDIA: Search Wikipedia for factual information
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- FETCH: Retrieve and read the full content of a URL
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- PYTHON: Execute Python code (always use print() to see output)
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You MUST use tools by outputting EXACTLY one of these formats per step:
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THOUGHT: <your reasoning>
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SEARCH: <query>
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-
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THOUGHT: <your reasoning>
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WIKIPEDIA: <query>
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-
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-
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-
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-
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```python
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<your code - always use print() to see results>
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```
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-
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-
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- For Wikipedia pages, use FETCH on the actual Wikipedia URL for full content
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- ANSWER must be exact: numbers only (no units unless asked), short phrases, comma-separated lists
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- Do NOT include "FINAL ANSWER:" prefix - just "ANSWER: " followed by the answer
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- Never give up - always try a different approach if one fails"""
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-
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conversation = f"{system}\n\nQuestion: {question}{file_alert}"
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for iteration in range(10):
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time.sleep(8)
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response = self.call_llm(
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print(f" LLM [{iteration}]:
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# Parse tool calls
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search_match = re.search(r'SEARCH:\s*(.+?)(?:\n|$)', response)
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wiki_match = re.search(r'WIKIPEDIA:\s*(.+?)(?:\n|$)', response)
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fetch_match = re.search(r'FETCH:\s*(https?://\S+)', response)
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python_match = re.search(r'PYTHON:\s*```(?:python)?\n?(.*?)```', response, re.DOTALL)
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if not python_match:
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python_match = re.search(r'PYTHON:\s*(.+?)(?:\nSEARCH|\nWIKIPEDIA|\nFETCH|\nANSWER|$)', response, re.DOTALL)
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tool_result = None
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if fetch_match:
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url = fetch_match.group(1).strip()
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print(f" Tool:
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elif search_match:
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query = search_match.group(1).strip()
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print(f" Tool:
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elif wiki_match:
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query = wiki_match.group(1).strip()
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print(f" Tool:
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elif python_match:
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code = python_match.group(1).strip()
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print(f" Tool:
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else:
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if answer_match:
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answer = answer_match.group(1).strip()
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print(f" Final Answer: {answer}")
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return answer
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tool_result = "No valid tool call detected. Please use SEARCH, WIKIPEDIA, FETCH, PYTHON, or ANSWER."
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conversation += f"\n\nAssistant: {response}\n\nTool Result: {tool_result}\n\nNow provide your next THOUGHT and tool, or your ANSWER."
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# Fallback
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answer_match = re.search(r'ANSWER:\s*(.+?)(?:\n|$)', last, re.IGNORECASE)
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if answer_match:
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return answer_match.group(1).strip()
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print(f"Error on task {task_id}: {e}")
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results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"ERROR: {e}"})
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time.sleep(15)
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if not answers_payload:
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return "Agent did not produce any answers.", pd.DataFrame(results_log)
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@@ -359,10 +343,10 @@ with gr.Blocks() as demo:
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gr.Markdown("# 🤖 Smart Agent — GAIA Benchmark Runner")
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gr.Markdown(
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"""
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**Powered by Groq (Llama 3.
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**Instructions:**
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1. Make sure `GROQ_API_KEY` is set in your Space secrets
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2.
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3. Log in with your Hugging Face account below
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4. Click **Run Evaluation & Submit All Answers**
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"""
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if __name__ == "__main__":
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print("\n" + "=" * 30 + " Application Startup " + "=" * 30)
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print(f"SPACE_HOST: {os.getenv('SPACE_HOST', 'not set')}")
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print(f"SPACE_ID:
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print("=" * 81 + "\n")
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demo.launch(debug=True, share=False)
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match = re.search(r'filename="?([^"]+)"?', cd)
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if match:
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filename = match.group(1)
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with open(filename, 'wb') as f:
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f.write(response.content)
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return (
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f"\n[SYSTEM: File '{filename}' downloaded. "
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f"READ IT FIRST using PYTHON:\n```python\n"
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f"try:\n"
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f" with open('{filename}', 'r', encoding='utf-8') as f:\n"
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f" print(f.read())\n"
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f"except:\n"
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f" with open('{filename}', 'rb') as f:\n"
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f" print(repr(f.read()[:2000]))\n"
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f"```\n]\n"
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)
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return ""
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try:
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from ddgs import DDGS
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with DDGS() as ddgs:
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results = list(ddgs.text(query, max_results=5))
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if not results:
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return "No results found."
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output = []
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for r in results:
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output.append(f"Title: {r.get('title','')}\nURL: {r.get('href','')}\nSnippet: {r.get('body','')[:200]}")
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return "\n---\n".join(output)
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except ImportError:
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try:
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from duckduckgo_search import DDGS
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with DDGS() as ddgs:
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results = list(ddgs.text(query, max_results=5))
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if not results:
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return "No results found."
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output = []
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for r in results:
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output.append(f"Title: {r.get('title','')}\nURL: {r.get('href','')}\nSnippet: {r.get('body','')[:200]}")
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return "\n---\n".join(output)
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except Exception as e:
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return f"Search error: {e}"
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headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"}
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response = requests.get(url, timeout=20, headers=headers)
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response.raise_for_status()
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try:
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from bs4 import BeautifulSoup
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soup = BeautifulSoup(response.text, "html.parser")
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for tag in soup(["script", "style", "nav", "footer"]):
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tag.decompose()
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text = soup.get_text(separator="\n", strip=True)
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text = re.sub(r'\n{3,}', '\n\n', text)
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return text[:1500]
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except ImportError:
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return response.text[:1500]
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except Exception as e:
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return f"Fetch error: {e}"
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pages = summary_data.get("query", {}).get("pages", {})
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for page_id, page in pages.items():
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extract = page.get("extract", "No content available.")
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return f"Wikipedia: {title}\n\n{extract[:1500]}"
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return "No content found."
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except Exception as e:
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return f"Wikipedia error: {e}"
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exec_globals = {}
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exec(code, exec_globals)
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output = sys.stdout.getvalue()
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return output[:1000] if output else "Code ran but printed nothing. Use print() to see data."
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except Exception as e:
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return f"Python error: {e}"
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finally:
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sys.stdout = old_stdout
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def __init__(self):
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self.api_key = os.getenv("GROQ_API_KEY")
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if not self.api_key:
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raise ValueError("GROQ_API_KEY not set!")
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self.api_url = "https://api.groq.com/openai/v1/chat/completions"
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self.model = "llama-3.1-8b-instant"
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print(f"SmartAgent initialized with Groq ({self.model})")
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def call_llm(self, prompt: str) -> str:
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# Hard cap prompt to avoid 413
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if len(prompt) > 8000:
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prompt = prompt[:3000] + "\n\n[...context trimmed...]\n\n" + prompt[-3000:]
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headers = {
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"Authorization": f"Bearer {self.api_key}",
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"Content-Type": "application/json"
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"model": self.model,
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"messages": [{"role": "user", "content": prompt}],
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"temperature": 0.1,
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"max_tokens": 512
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}
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wait_times = [20, 40, 80]
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except requests.exceptions.HTTPError as e:
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status = response.status_code
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if status in [429, 503, 500]:
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print(f"Groq API Error ({status})! Waiting {wait_time}s... (Attempt {attempt+1}/3)")
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time.sleep(wait_time)
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else:
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raise e
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raise Exception("Failed after 3 attempts.")
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def __call__(self, question: str, task_id: str) -> str:
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print(f"\nQuestion: {question[:100]}...")
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file_alert = download_task_file(task_id)
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system = """You are an expert AI solving benchmark questions. Think step by step.
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TOOLS AVAILABLE:
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- SEARCH: <query> (web search)
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- WIKIPEDIA: <query> (Wikipedia lookup)
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- FETCH: <url> (read a webpage)
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- PYTHON: ```python ... ``` (run code, always use print())
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ANSWER FORMAT: When done, output exactly:
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ANSWER: <your answer>
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RULES:
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- Read any downloaded file FIRST with PYTHON
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- Use FETCH to read URLs mentioned in questions
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- Be concise - one tool per step
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- Numbers: no units unless asked, no commas
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- Short phrases, no articles (a/the)
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- Comma-separated if multiple items needed"""
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# Keep a short rolling history instead of full conversation
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history = []
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initial_prompt = f"{system}\n\nQuestion: {question}{file_alert}"
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|
| 202 |
|
| 203 |
for iteration in range(10):
|
| 204 |
+
time.sleep(8)
|
| 205 |
+
|
| 206 |
+
# Build prompt from system + question + last 3 exchanges only
|
| 207 |
+
if not history:
|
| 208 |
+
prompt = initial_prompt
|
| 209 |
+
else:
|
| 210 |
+
recent = history[-3:]
|
| 211 |
+
exchanges = "\n\n".join([
|
| 212 |
+
f"Step {i+1}:\nAction: {h['action']}\nResult: {h['result'][:400]}"
|
| 213 |
+
for i, h in enumerate(recent)
|
| 214 |
+
])
|
| 215 |
+
prompt = f"{system}\n\nQuestion: {question}{file_alert}\n\nPrevious steps:\n{exchanges}\n\nContinue:"
|
| 216 |
|
| 217 |
+
response = self.call_llm(prompt)
|
| 218 |
+
print(f" LLM [{iteration}]: {response[:200]}...")
|
| 219 |
|
| 220 |
# Parse tool calls
|
| 221 |
+
fetch_match = re.search(r'FETCH:\s*(https?://\S+)', response)
|
| 222 |
search_match = re.search(r'SEARCH:\s*(.+?)(?:\n|$)', response)
|
| 223 |
wiki_match = re.search(r'WIKIPEDIA:\s*(.+?)(?:\n|$)', response)
|
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|
| 224 |
python_match = re.search(r'PYTHON:\s*```(?:python)?\n?(.*?)```', response, re.DOTALL)
|
| 225 |
+
answer_match = re.search(r'ANSWER:\s*(.+?)(?:\n|$)', response, re.IGNORECASE)
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|
| 226 |
|
| 227 |
if fetch_match:
|
| 228 |
url = fetch_match.group(1).strip()
|
| 229 |
+
print(f" Tool: FETCH({url[:80]})")
|
| 230 |
+
result = web_fetch(url)
|
| 231 |
+
history.append({"action": f"FETCH: {url}", "result": result})
|
| 232 |
elif search_match:
|
| 233 |
query = search_match.group(1).strip()
|
| 234 |
+
print(f" Tool: SEARCH({query})")
|
| 235 |
+
result = web_search(query)
|
| 236 |
+
history.append({"action": f"SEARCH: {query}", "result": result})
|
| 237 |
elif wiki_match:
|
| 238 |
query = wiki_match.group(1).strip()
|
| 239 |
+
print(f" Tool: WIKIPEDIA({query})")
|
| 240 |
+
result = wikipedia_search(query)
|
| 241 |
+
history.append({"action": f"WIKIPEDIA: {query}", "result": result})
|
| 242 |
elif python_match:
|
| 243 |
code = python_match.group(1).strip()
|
| 244 |
+
print(f" Tool: PYTHON({code[:60]}...)")
|
| 245 |
+
result = run_python(code)
|
| 246 |
+
history.append({"action": f"PYTHON: {code[:100]}", "result": result})
|
| 247 |
+
elif answer_match:
|
| 248 |
+
answer = answer_match.group(1).strip()
|
| 249 |
+
print(f" Final Answer: {answer}")
|
| 250 |
+
return answer
|
| 251 |
else:
|
| 252 |
+
history.append({"action": "none", "result": "No valid tool found. Use SEARCH, WIKIPEDIA, FETCH, PYTHON, or ANSWER."})
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|
| 253 |
|
| 254 |
+
# Fallback: force answer
|
| 255 |
+
recent = history[-3:]
|
| 256 |
+
exchanges = "\n\n".join([f"Action: {h['action']}\nResult: {h['result'][:300]}" for h in recent])
|
| 257 |
+
fallback_prompt = f"{system}\n\nQuestion: {question}\n\nSteps taken:\n{exchanges}\n\nOut of steps. Give ONLY: ANSWER: <answer>"
|
| 258 |
+
last = self.call_llm(fallback_prompt)
|
| 259 |
answer_match = re.search(r'ANSWER:\s*(.+?)(?:\n|$)', last, re.IGNORECASE)
|
| 260 |
if answer_match:
|
| 261 |
return answer_match.group(1).strip()
|
|
|
|
| 309 |
print(f"Error on task {task_id}: {e}")
|
| 310 |
results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"ERROR: {e}"})
|
| 311 |
|
| 312 |
+
time.sleep(15)
|
| 313 |
|
| 314 |
if not answers_payload:
|
| 315 |
return "Agent did not produce any answers.", pd.DataFrame(results_log)
|
|
|
|
| 343 |
gr.Markdown("# 🤖 Smart Agent — GAIA Benchmark Runner")
|
| 344 |
gr.Markdown(
|
| 345 |
"""
|
| 346 |
+
**Powered by Groq (Llama 3.1 8B Instant)**
|
| 347 |
**Instructions:**
|
| 348 |
1. Make sure `GROQ_API_KEY` is set in your Space secrets
|
| 349 |
+
2. `requirements.txt` must include: `gradio`, `requests`, `pandas`, `openpyxl`, `ddgs`, `beautifulsoup4`
|
| 350 |
3. Log in with your Hugging Face account below
|
| 351 |
4. Click **Run Evaluation & Submit All Answers**
|
| 352 |
"""
|
|
|
|
| 360 |
if __name__ == "__main__":
|
| 361 |
print("\n" + "=" * 30 + " Application Startup " + "=" * 30)
|
| 362 |
print(f"SPACE_HOST: {os.getenv('SPACE_HOST', 'not set')}")
|
| 363 |
+
print(f"SPACE_ID: {os.getenv('SPACE_ID', 'not set')}")
|
| 364 |
print("=" * 81 + "\n")
|
| 365 |
demo.launch(debug=True, share=False)
|