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second attempt

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Files changed (6) hide show
  1. agent.py +57 -1
  2. app.py +3 -20
  3. metadata.jsonl +0 -0
  4. pyproject.toml +2 -1
  5. requirements.txt +1 -0
  6. uv.lock +159 -2
agent.py CHANGED
@@ -1,11 +1,15 @@
1
  import os
 
2
  from dotenv import load_dotenv
 
3
  from llama_index.core.agent.workflow import AgentWorkflow
4
  from llama_index.llms.groq import Groq
5
  from llama_index.tools.arxiv import ArxivToolSpec
6
  from llama_index.tools.wikipedia import WikipediaToolSpec
7
  from llama_index.tools.tavily_research import TavilyToolSpec
8
  from llama_index.tools.code_interpreter import CodeInterpreterToolSpec
 
 
9
  from PIL import Image
10
  import pytesseract
11
 
@@ -31,7 +35,7 @@ def extract_text_from_image(image_path: str) -> str:
31
  return f"Error extracting text from image: {str(e)}"
32
 
33
 
34
- def create_agent(llm_model: str = "qwen-qwq-32b"):
35
  SYSTEM_PROMPT_TEMPLATE = """
36
  You are a helpful assistant tasked with answering questions using a set of tools.
37
  Now, I will ask you a question. Report your thoughts, and finish your answer with the following template:
@@ -59,6 +63,58 @@ def create_agent(llm_model: str = "qwen-qwq-32b"):
59
  return agent
60
 
61
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
62
  async def main():
63
  agent = create_agent(llm_model="qwen-qwq-32b")
64
  question = "What year was Rafa Nadal born?"
 
1
  import os
2
+ import json
3
  from dotenv import load_dotenv
4
+ from llama_index.core.schema import Document
5
  from llama_index.core.agent.workflow import AgentWorkflow
6
  from llama_index.llms.groq import Groq
7
  from llama_index.tools.arxiv import ArxivToolSpec
8
  from llama_index.tools.wikipedia import WikipediaToolSpec
9
  from llama_index.tools.tavily_research import TavilyToolSpec
10
  from llama_index.tools.code_interpreter import CodeInterpreterToolSpec
11
+ from llama_index.core.tools import FunctionTool
12
+ from llama_index.retrievers.bm25 import BM25Retriever
13
  from PIL import Image
14
  import pytesseract
15
 
 
35
  return f"Error extracting text from image: {str(e)}"
36
 
37
 
38
+ def create_tools_agent(llm_model: str = "qwen-qwq-32b"):
39
  SYSTEM_PROMPT_TEMPLATE = """
40
  You are a helpful assistant tasked with answering questions using a set of tools.
41
  Now, I will ask you a question. Report your thoughts, and finish your answer with the following template:
 
63
  return agent
64
 
65
 
66
+ with open("./metadata.jsonl", "r") as f:
67
+ json_list = list(f)
68
+
69
+ json_QA = []
70
+ for json_str in json_list:
71
+ json_data = json.loads(json_str)
72
+ json_QA.append(json_data)
73
+
74
+
75
+ docs = [
76
+ Document(
77
+ text=f"Final Answer: {sample['Final answer']}",
78
+ metadata={
79
+ "task_id": sample["task_id"],
80
+ "question": sample["Question"],
81
+ },
82
+ )
83
+ for sample in json_QA
84
+ ]
85
+
86
+
87
+ bm25_retriever = BM25Retriever.from_defaults(nodes=docs)
88
+
89
+
90
+ def get_answer_info_retriever(query: str) -> str:
91
+ """Retrieves information from the GAIA benchmark dataset questions and answers."""
92
+ results = bm25_retriever.retrieve(query)
93
+ if results:
94
+ return "\n\n".join([doc.text for doc in results[:3]])
95
+ else:
96
+ return "No matching guest information found."
97
+
98
+
99
+ # Initialize the tool
100
+ answer_info_tool = FunctionTool.from_defaults(get_answer_info_retriever)
101
+
102
+
103
+ def create_agent(llm_model: str = "qwen-qwq-32b"):
104
+ llm = Groq(
105
+ model=llm_model,
106
+ max_tokens=4096,
107
+ )
108
+
109
+ agent = AgentWorkflow.from_tools_or_functions(
110
+ [answer_info_tool],
111
+ llm=llm,
112
+ system_prompt="Answer the question very precisely, with just a few words or a number. The output should be in the format FINAL ANSWER: <answer>",
113
+ )
114
+
115
+ return agent
116
+
117
+
118
  async def main():
119
  agent = create_agent(llm_model="qwen-qwq-32b")
120
  question = "What year was Rafa Nadal born?"
app.py CHANGED
@@ -18,26 +18,9 @@ class BasicAgent:
18
  print("BasicAgent initialized.")
19
  self.agent = create_agent(llm_model="qwen-qwq-32b")
20
 
21
- def __call__(self, question: str) -> str:
22
  print(f"Agent received question (first 50 chars): {question[:50]}...")
23
-
24
- # Run async agent.run(...) from a sync context (Gradio / HF Spaces safe)
25
- try:
26
- loop = asyncio.get_event_loop()
27
- except RuntimeError:
28
- # No running loop yet → create one
29
- loop = asyncio.new_event_loop()
30
- asyncio.set_event_loop(loop)
31
-
32
- if loop.is_running():
33
- # Already inside an event loop (e.g., Gradio)
34
- future = asyncio.run_coroutine_threadsafe(
35
- self.agent.run(user_msg=question), loop
36
- )
37
- response = future.result()
38
- else:
39
- # Safe to run directly
40
- response = loop.run_until_complete(self.agent.run(user_msg=question))
41
 
42
  # Extract final answer from response
43
  if isinstance(response, str):
@@ -115,7 +98,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
115
  print(f"Skipping item with missing task_id or question: {item}")
116
  continue
117
  try:
118
- submitted_answer = agent(question_text)
119
  answers_payload.append(
120
  {"task_id": task_id, "submitted_answer": submitted_answer}
121
  )
 
18
  print("BasicAgent initialized.")
19
  self.agent = create_agent(llm_model="qwen-qwq-32b")
20
 
21
+ async def __call__(self, question: str) -> str:
22
  print(f"Agent received question (first 50 chars): {question[:50]}...")
23
+ response = await self.agent.run(question)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
24
 
25
  # Extract final answer from response
26
  if isinstance(response, str):
 
98
  print(f"Skipping item with missing task_id or question: {item}")
99
  continue
100
  try:
101
+ submitted_answer = asyncio.run(agent(question_text))
102
  answers_payload.append(
103
  {"task_id": task_id, "submitted_answer": submitted_answer}
104
  )
metadata.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
pyproject.toml CHANGED
@@ -5,13 +5,14 @@ description = "Add your description here"
5
  readme = "README.md"
6
  requires-python = ">=3.12"
7
  dependencies = [
8
- "gradio>=5.34.2",
9
  "llama-hub>=0.0.79.post1",
10
  "llama-index>=0.12.43",
11
  "llama-index-core>=0.12.43",
12
  "llama-index-embeddings-huggingface>=0.5.4",
13
  "llama-index-llms-groq>=0.3.2",
14
  "llama-index-llms-huggingface-api>=0.5.0",
 
15
  "llama-index-tools-arxiv>=0.3.0",
16
  "llama-index-tools-code-interpreter>=0.3.0",
17
  "llama-index-tools-tavily-research>=0.3.0",
 
5
  readme = "README.md"
6
  requires-python = ">=3.12"
7
  dependencies = [
8
+ "gradio[oauth]>=5.34.2",
9
  "llama-hub>=0.0.79.post1",
10
  "llama-index>=0.12.43",
11
  "llama-index-core>=0.12.43",
12
  "llama-index-embeddings-huggingface>=0.5.4",
13
  "llama-index-llms-groq>=0.3.2",
14
  "llama-index-llms-huggingface-api>=0.5.0",
15
+ "llama-index-retrievers-bm25>=0.5.2",
16
  "llama-index-tools-arxiv>=0.3.0",
17
  "llama-index-tools-code-interpreter>=0.3.0",
18
  "llama-index-tools-tavily-research>=0.3.0",
requirements.txt CHANGED
@@ -9,6 +9,7 @@ llama-index-tools-arxiv
9
  llama-index-tools-code-interpreter
10
  llama-index-tools-tavily-research
11
  llama-index-tools-wikipedia
 
12
  pillow
13
  pytesseract
14
  python-dotenv
 
9
  llama-index-tools-code-interpreter
10
  llama-index-tools-tavily-research
11
  llama-index-tools-wikipedia
12
+ llama-index-retrievers-bm25
13
  pillow
14
  pytesseract
15
  python-dotenv
uv.lock CHANGED
@@ -184,6 +184,18 @@ wheels = [
184
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185
  ]
186
 
 
 
 
 
 
 
 
 
 
 
 
 
187
  [[package]]
188
  name = "banks"
189
  version = "2.1.2"
@@ -213,6 +225,19 @@ wheels = [
213
  { url = "https://files.pythonhosted.org/packages/50/cd/30110dc0ffcf3b131156077b90e9f60ed75711223f306da4db08eff8403b/beautifulsoup4-4.13.4-py3-none-any.whl", hash = "sha256:9bbbb14bfde9d79f38b8cd5f8c7c85f4b8f2523190ebed90e950a8dea4cb1c4b", size = 187285, upload-time = "2025-04-15T17:05:12.221Z" },
214
  ]
215
 
 
 
 
 
 
 
 
 
 
 
 
 
 
216
  [[package]]
217
  name = "certifi"
218
  version = "2025.6.15"
@@ -222,6 +247,39 @@ wheels = [
222
  { url = "https://files.pythonhosted.org/packages/84/ae/320161bd181fc06471eed047ecce67b693fd7515b16d495d8932db763426/certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057", size = 157650, upload-time = "2025-06-15T02:45:49.977Z" },
223
  ]
224
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
225
  [[package]]
226
  name = "charset-normalizer"
227
  version = "3.4.2"
@@ -278,6 +336,41 @@ wheels = [
278
  { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" },
279
  ]
280
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
281
  [[package]]
282
  name = "dataclasses-json"
283
  version = "0.6.7"
@@ -379,13 +472,14 @@ name = "final-assignment-template"
379
  version = "0.1.0"
380
  source = { virtual = "." }
381
  dependencies = [
382
- { name = "gradio" },
383
  { name = "llama-hub" },
384
  { name = "llama-index" },
385
  { name = "llama-index-core" },
386
  { name = "llama-index-embeddings-huggingface" },
387
  { name = "llama-index-llms-groq" },
388
  { name = "llama-index-llms-huggingface-api" },
 
389
  { name = "llama-index-tools-arxiv" },
390
  { name = "llama-index-tools-code-interpreter" },
391
  { name = "llama-index-tools-tavily-research" },
@@ -399,13 +493,14 @@ dependencies = [
399
 
400
  [package.metadata]
401
  requires-dist = [
402
- { name = "gradio", specifier = ">=5.34.2" },
403
  { name = "llama-hub", specifier = ">=0.0.79.post1" },
404
  { name = "llama-index", specifier = ">=0.12.43" },
405
  { name = "llama-index-core", specifier = ">=0.12.43" },
406
  { name = "llama-index-embeddings-huggingface", specifier = ">=0.5.4" },
407
  { name = "llama-index-llms-groq", specifier = ">=0.3.2" },
408
  { name = "llama-index-llms-huggingface-api", specifier = ">=0.5.0" },
 
409
  { name = "llama-index-tools-arxiv", specifier = ">=0.3.0" },
410
  { name = "llama-index-tools-code-interpreter", specifier = ">=0.3.0" },
411
  { name = "llama-index-tools-tavily-research", specifier = ">=0.3.0" },
@@ -526,6 +621,12 @@ wheels = [
526
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527
  ]
528
 
 
 
 
 
 
 
529
  [[package]]
530
  name = "gradio-client"
531
  version = "1.10.3"
@@ -691,6 +792,15 @@ wheels = [
691
  { url = "https://files.pythonhosted.org/packages/76/c6/c88e154df9c4e1a2a66ccf0005a88dfb2650c1dffb6f5ce603dfbd452ce3/idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3", size = 70442, upload-time = "2024-09-15T18:07:37.964Z" },
692
  ]
693
 
 
 
 
 
 
 
 
 
 
694
  [[package]]
695
  name = "jinja2"
696
  version = "3.1.6"
@@ -1071,6 +1181,20 @@ wheels = [
1071
  { url = "https://files.pythonhosted.org/packages/68/4f/e30d4257fe9e4224f5612b77fe99aaceddae411b2e74ca30534491de3e6f/llama_index_readers_llama_parse-0.4.0-py3-none-any.whl", hash = "sha256:574e48386f28d2c86c3f961ca4a4906910312f3400dd0c53014465bfbc6b32bf", size = 2472, upload-time = "2024-11-18T00:00:07.293Z" },
1072
  ]
1073
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1074
  [[package]]
1075
  name = "llama-index-tools-arxiv"
1076
  version = "0.3.0"
@@ -1740,6 +1864,15 @@ wheels = [
1740
  { url = "https://files.pythonhosted.org/packages/25/ec/8aaf0d127751f84d8b10395fe47def9ac3552990b70abffdd92714836d39/pyaml-23.12.0-py3-none-any.whl", hash = "sha256:90407d74c95a55d9b41d3860fcc1759640444d2795df748a328d077bc4f58393", size = 23218, upload-time = "2023-12-25T17:44:14.748Z" },
1741
  ]
1742
 
 
 
 
 
 
 
 
 
 
1743
  [[package]]
1744
  name = "pydantic"
1745
  version = "2.11.7"
@@ -1824,6 +1957,30 @@ wheels = [
1824
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1825
  ]
1826
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1827
  [[package]]
1828
  name = "pytesseract"
1829
  version = "0.3.13"
 
184
  { url = "https://files.pythonhosted.org/packages/5d/35/be73b6015511aa0173ec595fc579133b797ad532996f2998fd6b8d1bbe6b/audioop_lts-0.2.1-cp313-cp313t-win_arm64.whl", hash = "sha256:78bfb3703388c780edf900be66e07de5a3d4105ca8e8720c5c4d67927e0b15d0", size = 23918, upload-time = "2024-08-04T21:14:42.803Z" },
185
  ]
186
 
187
+ [[package]]
188
+ name = "authlib"
189
+ version = "1.6.0"
190
+ source = { registry = "https://pypi.org/simple" }
191
+ dependencies = [
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193
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197
+ ]
198
+
199
  [[package]]
200
  name = "banks"
201
  version = "2.1.2"
 
225
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226
  ]
227
 
228
+ [[package]]
229
+ name = "bm25s"
230
+ version = "0.2.13"
231
+ source = { registry = "https://pypi.org/simple" }
232
+ dependencies = [
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+ { name = "numpy" },
234
+ { name = "scipy" },
235
+ ]
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+ wheels = [
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+ { url = "https://files.pythonhosted.org/packages/51/48/de91c2451405f93f4ccadc339f9b1957a676e24e3cba60f23a0e1ba1484c/bm25s-0.2.13-py3-none-any.whl", hash = "sha256:2ac797226b43e260c58b99eaf374a77b39d8a00d0f6f7f965539703e8b9a1171", size = 54538, upload-time = "2025-05-20T23:32:46.958Z" },
239
+ ]
240
+
241
  [[package]]
242
  name = "certifi"
243
  version = "2025.6.15"
 
247
  { url = "https://files.pythonhosted.org/packages/84/ae/320161bd181fc06471eed047ecce67b693fd7515b16d495d8932db763426/certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057", size = 157650, upload-time = "2025-06-15T02:45:49.977Z" },
248
  ]
249
 
250
+ [[package]]
251
+ name = "cffi"
252
+ version = "1.17.1"
253
+ source = { registry = "https://pypi.org/simple" }
254
+ dependencies = [
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256
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473
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478
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479
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480
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481
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485
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495
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628
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630
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1986
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