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·
8727844
1
Parent(s):
daf6272
modify code
Browse files
app.py
CHANGED
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@@ -1,13 +1,15 @@
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-
import re, io, json,
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from smolagents import CodeAgent, InferenceClientModel, DuckDuckGoSearchTool, VisitWebpageTool, PythonInterpreterTool
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SPACE_ID = "marjanns/Final_Assignment_Template"
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DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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def postprocess_exact(s):
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if s is None:
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s = str(s).strip()
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if (s.startswith('"') and s.endswith('"')) or (s.startswith("'") and s.endswith("'")):
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s = re.sub(r"\s+", " ", s)
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s = re.sub(r"\.(\s*)$", "", s)
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return s
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@@ -17,40 +19,45 @@ def fetch_files(task_id):
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r = requests.get(f"{DEFAULT_API_URL}/files/{task_id}", timeout=30)
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r.raise_for_status()
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data = r.json()
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if isinstance(data, dict) and "files" in data:
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-
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return []
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except Exception:
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return []
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def solve_reverse_sentence(q):
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if ".rewsna" in q
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try:
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s =
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-
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-
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return "right"
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except Exception:
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pass
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return None
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def solve_vegetables(q):
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if "I'm making a grocery list" in q and "
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m = re.search(r"
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if not m:
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items = [x.strip().lower() for x in re.split(r",\s*", m.group(1))]
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veg = set()
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botanical_fruits = {"tomato","zucchini","courgette","bell pepper","pepper","cucumber","eggplant","aubergine","green beans","string beans","beans","corn","maize","rice","plums","peanuts","acorns","whole allspice","allspice","coffee","whole bean coffee"}
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vegetables_whitelist = {"broccoli","celery","lettuce","sweet potatoes","sweet potato","basil","fresh basil"}
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for it in items:
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if it in botanical_fruits:
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-
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if it in {"
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elif it in {"sweet potato","sweet potatoes"}:
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-
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-
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-
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return None
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def parse_md_table_block(q):
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@@ -60,7 +67,8 @@ def parse_md_table_block(q):
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def solve_non_commutative_subset(q):
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if "define * on the set S" in q and "not commutative" in q:
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block = parse_md_table_block(q)
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if not block:
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lines = [ln.strip() for ln in block.strip().splitlines() if ln.strip().startswith("|")]
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header = [h.strip() for h in lines[0].strip("|").split("|")]
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elems = [e.strip() for e in header[1:]]
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@@ -74,96 +82,116 @@ def solve_non_commutative_subset(q):
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for y in elems:
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if tbl[x][y] != tbl[y][x]:
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bad.add(x); bad.add(y)
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return ", ".join(sorted(bad))
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return None
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class BasicAgent:
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def __init__(self):
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self.model = InferenceClientModel(model_id="Qwen/Qwen2.5-7B-Instruct")
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self.agent = CodeAgent(
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def solve_with_files(self, question, task_id):
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files = fetch_files(task_id)
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for f in files:
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url = f.get("file_url") or f.get("url") or ""
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name = f.get("filename") or f.get("name") or ""
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if not url:
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try:
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data = requests.get(url, timeout=60).content
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except Exception:
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continue
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if name.
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try:
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df = pd.read_excel(io.BytesIO(data))
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if "Category" in df.columns:
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food = df[df["Category"].astype(str).str.lower().eq("food")]
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-
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-
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-
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-
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if "type" in cols:
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tcol = df.columns[cols.index("type")]
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food = df[df[tcol].astype(str).str.lower().eq("food")]
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scols = food.select_dtypes(include="number")
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total = float(scols.sum().sum())
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return f"{total:.2f}"
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scols = df.select_dtypes(include="number")
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total = float(scols.sum().sum())
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return f"{total:.2f}"
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except Exception:
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pass
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if name.
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try:
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p = subprocess.run(["python","-"], input=data, capture_output=True, text=True, timeout=10)
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out = p.stdout.strip()
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-
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except Exception:
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pass
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if name.
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return ""
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return None
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def __call__(self, question, task_id=None):
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s = solve_reverse_sentence(question)
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if s is not None:
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s = solve_vegetables(question)
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if s is not None:
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s = solve_non_commutative_subset(question)
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if s is not None:
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if task_id is not None:
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s = self.solve_with_files(question, task_id)
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if s is not None:
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out = self.agent.run(
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return postprocess_exact(out)
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def run_and_submit_all(
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-
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username = f"{profile.username}".strip()
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-
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-
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agent = BasicAgent()
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results_log, answers_payload = [], []
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for item in questions:
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tid = item.get("task_id")
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try:
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ans = agent(q, tid)
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except Exception as e:
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ans = f"AGENT ERROR: {e}"
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answers_payload.append({"task_id": tid, "submitted_answer": ans})
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results_log.append({"Task ID": tid, "Question": q, "Submitted Answer": ans})
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if not answers_payload:
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try:
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res =
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msg = f"Submission Successful!\nUser: {res.get('username', username)}\nOverall Score: {res.get('score','N/A')}% ({res.get('correct_count','?')}/{res.get('total_attempted','?')} correct)\nMessage: {res.get('message','') or ''}"
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return msg, pd.DataFrame(results_log)
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except requests.exceptions.HTTPError as e:
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try:
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return f"Submission Failed: HTTP {e.response.status_code}. Detail: {detail[:500]}", pd.DataFrame(results_log)
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except requests.exceptions.Timeout:
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return "Submission Failed: The request timed out.", pd.DataFrame(results_log)
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@@ -173,11 +201,11 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
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with gr.Blocks() as demo:
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gr.Markdown("# Basic Agent Evaluation Runner")
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gr.Markdown("1. Ensure requirements are installed.\n2. Log in.\n3. Click the button to run and submit.\nScoring is EXACT MATCH: output only the final answer string.")
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-
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run_button = gr.Button("Run Evaluation & Submit All Answers")
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status_output = gr.Textbox(label="Run Status / Submission Result", lines=6, interactive=False)
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results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
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run_button.click(fn=run_and_submit_all,
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if __name__ == "__main__":
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demo.launch(debug=True, share=False)
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import re, io, json, subprocess, requests, pandas as pd, gradio as gr
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from smolagents import CodeAgent, InferenceClientModel, DuckDuckGoSearchTool, VisitWebpageTool, PythonInterpreterTool
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SPACE_ID = "marjanns/Final_Assignment_Template"
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DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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def postprocess_exact(s):
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+
if s is None:
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return ""
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s = str(s).strip()
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if (s.startswith('"') and s.endswith('"')) or (s.startswith("'") and s.endswith("'")):
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s = s[1:-1].strip()
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s = re.sub(r"\s+", " ", s)
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s = re.sub(r"\.(\s*)$", "", s)
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return s
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r = requests.get(f"{DEFAULT_API_URL}/files/{task_id}", timeout=30)
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r.raise_for_status()
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data = r.json()
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if isinstance(data, dict) and "files" in data:
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return data["files"]
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if isinstance(data, dict) and "file_url" in data:
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return [data]
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return []
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except Exception:
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return []
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def solve_reverse_sentence(q):
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if ".rewsna" in q:
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try:
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s = re.search(r'"(.*)"', q, re.S)
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src = s.group(1) if s else q
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rev = src[::-1]
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if "opposite of the word 'left'" in rev or 'opposite of the word "left"' in rev:
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return "right"
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except Exception:
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pass
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return None
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def solve_vegetables(q):
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if "I'm making a grocery list" in q and "alphabetize the list of vegetables" in q:
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m = re.search(r"list I have so far:\s*(.*?)\s*I need to make headings", q, re.I | re.S)
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if not m:
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return ""
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items = [x.strip().lower() for x in re.split(r",\s*", m.group(1))]
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botanical_fruits = {"tomato","zucchini","courgette","bell pepper","pepper","cucumber","eggplant","aubergine","green beans","beans","corn","maize","rice","plums","peanuts","acorns","whole allspice","allspice","coffee","whole bean coffee"}
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non_produce = {"milk","eggs","flour","oreos","whole allspice","whole bean coffee","peanuts","acorns","plums","rice"}
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veg = set()
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for it in items:
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if it in botanical_fruits or it in non_produce:
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continue
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if it in {"fresh basil","basil"}:
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veg.add("fresh basil")
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elif it in {"sweet potato","sweet potatoes"}:
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veg.add("sweet potatoes")
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elif it in {"broccoli","celery","lettuce"}:
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veg.add(it)
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return ", ".join(sorted(veg))
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return None
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def parse_md_table_block(q):
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def solve_non_commutative_subset(q):
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if "define * on the set S" in q and "not commutative" in q:
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block = parse_md_table_block(q)
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if not block:
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return ""
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lines = [ln.strip() for ln in block.strip().splitlines() if ln.strip().startswith("|")]
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header = [h.strip() for h in lines[0].strip("|").split("|")]
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elems = [e.strip() for e in header[1:]]
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for y in elems:
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if tbl[x][y] != tbl[y][x]:
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bad.add(x); bad.add(y)
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return ", ".join(sorted(bad))
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return None
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class BasicAgent:
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def __init__(self):
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self.model = InferenceClientModel(model_id="Qwen/Qwen2.5-7B-Instruct")
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self.agent = CodeAgent(
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model=self.model,
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tools=[DuckDuckGoSearchTool(), VisitWebpageTool(), PythonInterpreterTool()],
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add_base_tools=True,
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system_prompt="Answer GAIA L1 questions using tools. Output only the final answer string.",
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stream_outputs=False,
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)
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def solve_with_files(self, question, task_id):
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files = fetch_files(task_id)
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for f in files:
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url = f.get("file_url") or f.get("url") or ""
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name = (f.get("filename") or f.get("name") or "").lower()
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if not url:
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continue
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try:
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data = requests.get(url, timeout=60).content
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except Exception:
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continue
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if name.endswith((".xlsx",".xls")):
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try:
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df = pd.read_excel(io.BytesIO(data))
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if "Category" in df.columns:
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food = df[df["Category"].astype(str).str.lower().eq("food")]
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if "Sales" in food.columns:
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total = float(food["Sales"].sum())
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else:
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total = float(food.select_dtypes(include="number").sum().sum())
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return f"{total:.2f}"
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scols = df.select_dtypes(include="number")
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total = float(scols.sum().sum())
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return f"{total:.2f}"
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except Exception:
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pass
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if name.endswith(".py"):
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try:
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p = subprocess.run(["python","-"], input=data, capture_output=True, text=True, timeout=10)
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out = p.stdout.strip()
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if out:
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return postprocess_exact(out.splitlines()[-1])
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except Exception:
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pass
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if name.endswith((".mp3",".wav",".m4a",".flac")):
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return ""
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return None
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def __call__(self, question, task_id=None):
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s = solve_reverse_sentence(question)
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if s is not None:
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return s
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s = solve_vegetables(question)
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if s is not None:
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return s
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s = solve_non_commutative_subset(question)
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if s is not None:
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return s
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if task_id is not None:
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s = self.solve_with_files(question, task_id)
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if s is not None:
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return s
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out = self.agent.run("Return only the final answer string.\nQuestion: " + question)
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return postprocess_exact(out)
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def run_and_submit_all(request: gr.Request):
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profile = request.user
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if not profile:
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return "Please Login to Hugging Face with the button.", None
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username = f"{profile.username}".strip()
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try:
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| 160 |
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qresp = requests.get(f"{DEFAULT_API_URL}/questions", timeout=30)
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qresp.raise_for_status()
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questions = qresp.json()
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| 163 |
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if not isinstance(questions, list) or not questions:
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return "Fetched questions list is empty or invalid.", None
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except Exception as e:
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return f"Error fetching questions: {e}", None
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agent = BasicAgent()
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agent_code = f"https://huggingface.co/spaces/{SPACE_ID}/tree/main"
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results_log, answers_payload = [], []
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for item in questions:
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tid = item.get("task_id")
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q = item.get("question")
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if not tid or q is None:
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continue
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try:
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ans = agent(q, tid)
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except Exception as e:
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ans = f"AGENT ERROR: {e}"
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answers_payload.append({"task_id": tid, "submitted_answer": ans})
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results_log.append({"Task ID": tid, "Question": q, "Submitted Answer": ans})
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if not answers_payload:
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return "No answers produced.", pd.DataFrame(results_log)
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payload = {"username": username, "agent_code": agent_code, "answers": answers_payload}
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try:
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sresp = requests.post(f"{DEFAULT_API_URL}/submit", json=payload, timeout=120)
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sresp.raise_for_status()
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res = sresp.json()
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msg = f"Submission Successful!\nUser: {res.get('username', username)}\nOverall Score: {res.get('score','N/A')}% ({res.get('correct_count','?')}/{res.get('total_attempted','?')} correct)\nMessage: {res.get('message','') or ''}"
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return msg, pd.DataFrame(results_log)
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except requests.exceptions.HTTPError as e:
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try:
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| 192 |
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detail = e.response.json().get("detail", e.response.text)
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| 193 |
+
except Exception:
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detail = e.response.text
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| 195 |
return f"Submission Failed: HTTP {e.response.status_code}. Detail: {detail[:500]}", pd.DataFrame(results_log)
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| 196 |
except requests.exceptions.Timeout:
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return "Submission Failed: The request timed out.", pd.DataFrame(results_log)
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with gr.Blocks() as demo:
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gr.Markdown("# Basic Agent Evaluation Runner")
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gr.Markdown("1. Ensure requirements are installed.\n2. Log in.\n3. Click the button to run and submit.\nScoring is EXACT MATCH: output only the final answer string.")
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+
gr.LoginButton()
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run_button = gr.Button("Run Evaluation & Submit All Answers")
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status_output = gr.Textbox(label="Run Status / Submission Result", lines=6, interactive=False)
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results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
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run_button.click(fn=run_and_submit_all, outputs=[status_output, results_table])
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if __name__ == "__main__":
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demo.launch(debug=True, share=False)
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