Running ResearchPDFEvaluator.ipynb gets error

[larryyin]

Running this example notebook,
https://github.com/CambioML/cambio-cookbook/blob/main/examples/ResearchPaperEvaluator/ResearchPDFEvaluator.ipynb
, it gets this error:

Code block

output = p.run(data)

Error

---

KeyError Traceback (most recent call last)
Cell In[11], line 1
----> 1 output = p.run(data)

File /opt/conda/envs/uniflow/lib/python3.10/site-packages/uniflow/pipeline.py:33, in MultiFlowsPipeline.run(self, input_list)
24 """Run the pipeline with producer-consumer pattern.
25
26 Args:
(...)
30 List[Mapping[str, Any]]: List of outputs from the pipeline
31 """
32 output = self._extract_client.run(input_list)
---> 33 data = [Context(context=t) for o in output for t in o["output"][0]["text"]]
34 return self._transform_client.run(data)

File /opt/conda/envs/uniflow/lib/python3.10/site-packages/uniflow/pipeline.py:33, in (.0)
24 """Run the pipeline with producer-consumer pattern.
25
26 Args:
(...)
30 List[Mapping[str, Any]]: List of outputs from the pipeline
31 """
32 output = self._extract_client.run(input_list)
---> 33 data = [Context(context=t) for o in output for t in o["output"][0]["text"]]
34 return self._transform_client.run(data)

KeyError: 'output'

Versions

Collecting environment information...
PyTorch version: 2.4.0.dev20240317+cu121
Is debug build: False
CUDA used to build PyTorch: 12.1
ROCM used to build PyTorch: N/A

OS: Ubuntu 20.04.6 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0
Clang version: Could not collect
CMake version: version 3.16.3
Libc version: glibc-2.31

Python version: 3.10.13 | packaged by conda-forge | (main, Dec 23 2023, 15:36:39) [GCC 12.3.0] (64-bit runtime)
Python platform: Linux-5.15.0-1055-aws-x86_64-with-glibc2.31
Is CUDA available: True
CUDA runtime version: 12.1.105
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: Tesla T4
Nvidia driver version: 535.104.12
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
Address sizes: 46 bits physical, 48 bits virtual
CPU(s): 4
On-line CPU(s) list: 0-3
Thread(s) per core: 2
Core(s) per socket: 2
Socket(s): 1
NUMA node(s): 1
Vendor ID: GenuineIntel
CPU family: 6
Model: 85
Model name: Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz
Stepping: 7
CPU MHz: 2499.998
BogoMIPS: 4999.99
Hypervisor vendor: KVM
Virtualization type: full
L1d cache: 64 KiB
L1i cache: 64 KiB
L2 cache: 2 MiB
L3 cache: 35.8 MiB
NUMA node0 CPU(s): 0-3
Vulnerability Gather data sampling: Unknown: Dependent on hypervisor status
Vulnerability Itlb multihit: KVM: Mitigation: VMX unsupported
Vulnerability L1tf: Mitigation; PTE Inversion
Vulnerability Mds: Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown
Vulnerability Meltdown: Mitigation; PTI
Vulnerability Mmio stale data: Vulnerable: Clear CPU buffers attempted, no microcode; SMT Host state unknown
Vulnerability Retbleed: Vulnerable
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Vulnerable
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Retpolines, STIBP disabled, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single pti fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves ida arat pku ospke avx512_vnni

Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] pytorch-triton==3.0.0+989adb9a29
[pip3] torch==2.4.0.dev20240317+cu121
[conda] numpy 1.26.4 pypi_0 pypi
[conda] pytorch-triton 3.0.0+989adb9a29 pypi_0 pypi
[conda] torch 2.4.0.dev20240317+cu121 pypi_0 pypi