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Updated: requirement.txt some deppendencies needed newer versions
Browse files- REQUIREMENTS_FIX.md +68 -0
- requirements.txt +47 -14
- requirements_comparison.md +77 -0
REQUIREMENTS_FIX.md
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# Requirements.txt Fix Summary
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## The Bug
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**Error**: `ModuleNotFoundError: No module named 'langchain_core.messages.content'`
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**Root Cause**: Version incompatibility between `langchain-mcp-adapters>=0.1.0` and `langchain-core>=0.3.0`. The older versions of langchain-core don't have the `messages.content` module that the MCP adapters require.
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## Critical Changes Made
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### 1. Fixed LangChain Version Constraints (CRITICAL FIX)
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```diff
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- langchain-core>=0.3.0
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+ langchain-core>=0.3.80,<0.4.0
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- langchain-mcp-adapters>=0.1.0
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+ langchain-mcp-adapters>=0.1.14,<0.2.0
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- openai>=1.50.0
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+ openai>=2.0.0,<3.0.0
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- pinecone-client>=5.0.0
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+ pinecone-client>=6.0.0
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- tiktoken>=0.8.0
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+ tiktoken>=0.10.0,<1.0.0
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```
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### 2. Added Pyannote Specific Versions
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```python
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pyannote.audio==3.4.0
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pyannote.core==5.0.0
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pyannote.database==5.1.3
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pyannote.metrics==3.2.1
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pyannote.pipeline==3.0.1
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pyannoteai-sdk==0.3.0
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```
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### 3. Added PyTorch Audio Processing
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```python
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torch-audiomentations>=0.11.0
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torch_pitch_shift>=1.2.0
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torchmetrics>=1.0.0
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av>=10.0.0
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pydub>=0.25.0
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```
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### 4. Added ML/NLP Dependencies (Required by pyannote/whisperx)
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```python
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transformers>=4.30.0
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tokenizers>=0.13.0
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sentencepiece>=0.1.99
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speechbrain>=0.5.0
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pytorch-lightning>=2.0.0
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pytorch-metric-learning>=2.0.0
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einops>=0.6.0
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omegaconf>=2.3.0
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HyperPyYAML>=1.2.0
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asteroid-filterbanks>=0.4.0
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julius>=0.2.0
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onnxruntime>=1.15.0
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protobuf>=4.0.0
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```
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## Testing
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After deploying with the updated requirements.txt, the error should be resolved and MCP tools should load successfully.
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## Why This Happened
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The original requirements.txt used loose version constraints (e.g., `>=0.3.0` without upper bounds) which allowed pip to install incompatible combinations of packages. The fixed version pins minimum versions that are known to work together from your local environment.
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requirements.txt
CHANGED
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@@ -14,33 +14,66 @@ websockets>=12.0
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# =================================================================
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whisperx>=3.1.1
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faster-whisper>=1.0.0
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torch>=2.0.0
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torchaudio>=2.0.0
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soundfile>=0.12.0
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ffmpeg-python>=0.2.0
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# =================================================================
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# AGENT & LOGIC (LangChain / LangGraph)
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# =================================================================
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langchain>=0.3.0
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langchain-community>=0.3.0
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langchain-core>=0.3.0
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langchain-openai>=0.3.0
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langchain-pinecone>=0.2.0
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langchain-text-splitters>=0.3.0
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langchain-mcp-adapters>=0.1.0
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langgraph>=0.2.0
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openai>=
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pinecone-client>=
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tiktoken>=0.
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mcp>=1.0.0
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# =================================================================
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# DATA & UTILITIES
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# Removed strict pinnings (like numpy==2.3.5) that don't exist on Docker
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# =================================================================
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numpy>=1.24.0,<2.
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pandas>=2.0.0
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scipy>=1.10.0
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scikit-learn>=1.3.0
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tqdm>=4.66.0
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packaging>=23.0
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pyyaml>=6.0
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regex>=2023.0.0
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# =================================================================
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whisperx>=3.1.1
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faster-whisper>=1.0.0
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# Pyannote with specific versions (critical for compatibility)
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pyannote.audio==3.4.0
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pyannote.core==5.0.0
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pyannote.database==5.1.3
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pyannote.metrics==3.2.1
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pyannote.pipeline==3.0.1
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pyannoteai-sdk==0.3.0
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# PyTorch
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torch>=2.0.0
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torchaudio>=2.0.0
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torch-audiomentations>=0.11.0
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torch_pitch_shift>=1.2.0
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torchmetrics>=1.0.0
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# Audio processing
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soundfile>=0.12.0
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ffmpeg-python>=0.2.0
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av>=10.0.0
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pydub>=0.25.0
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# =================================================================
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# AGENT & LOGIC (LangChain / LangGraph)
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# =================================================================
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langchain>=0.3.0,<0.4.0
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langchain-community>=0.3.0,<0.4.0
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langchain-core>=0.3.80,<0.4.0
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langchain-openai>=0.3.0,<0.4.0
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langchain-pinecone>=0.2.0,<0.3.0
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langchain-text-splitters>=0.3.0,<0.4.0
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langchain-mcp-adapters>=0.1.14,<0.2.0
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langgraph>=0.2.0,<0.3.0
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openai>=2.0.0,<3.0.0
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pinecone-client>=6.0.0
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tiktoken>=0.10.0,<1.0.0
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mcp>=1.0.0
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# =================================================================
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# ML & NLP DEPENDENCIES (Required by pyannote/whisperx)
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# =================================================================
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transformers>=4.30.0
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tokenizers>=0.13.0
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sentencepiece>=0.1.99
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speechbrain>=0.5.0
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pytorch-lightning>=2.0.0
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pytorch-metric-learning>=2.0.0
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einops>=0.6.0
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omegaconf>=2.3.0
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HyperPyYAML>=1.2.0
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asteroid-filterbanks>=0.4.0
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julius>=0.2.0
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onnxruntime>=1.15.0
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protobuf>=4.0.0
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# =================================================================
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# DATA & UTILITIES
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# Removed strict pinnings (like numpy==2.3.5) that don't exist on Docker
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# =================================================================
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numpy>=1.24.0,<2.4.0
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pandas>=2.0.0
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scipy>=1.10.0
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scikit-learn>=1.3.0
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tqdm>=4.66.0
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packaging>=23.0
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pyyaml>=6.0
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regex>=2023.0.0
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requirements_comparison.md
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# Requirements.txt Comparison Analysis
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## Critical Missing Dependencies in HF requirements.txt
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### 1. **Pyannote Specific Versions** (CRITICAL)
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The HF requirements.txt has `pyannote.audio>=3.1.1` but the working version uses specific pinned versions:
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```
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pyannote.audio==3.4.0
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pyannote.core==5.0.0
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pyannote.database==5.1.3
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pyannote.metrics==3.2.1
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pyannote.pipeline==3.0.1
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pyannoteai-sdk==0.3.0
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```
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### 2. **OpenAI Version Mismatch** (CRITICAL)
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- HF: `openai>=1.50.0`
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- Working: `openai>=2.0.0,<3.0.0` (actual: 2.8.1)
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### 3. **Pinecone Version Mismatch** (CRITICAL)
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- HF: `pinecone-client>=5.0.0`
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- Working: `pinecone-client>=6.0.0` (actual: 6.0.0)
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### 4. **Tiktoken Version Mismatch**
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- HF: `tiktoken>=0.8.0`
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- Working: `tiktoken>=0.10.0,<1.0.0` (actual: 0.12.0)
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### 5. **Missing Dependencies** (Not in HF requirements.txt)
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These packages are installed in the working venv but not specified in HF requirements:
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- `lightning==2.5.6`
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- `pytorch-lightning==2.5.6`
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- `pytorch-metric-learning==2.9.0`
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- `speechbrain==1.0.3`
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- `sentencepiece==0.2.1`
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- `transformers==4.57.3`
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- `tokenizers==0.22.1`
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- `tensorboardX==2.6.4`
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- `einops==0.8.1`
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- `omegaconf==2.3.0`
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- `HyperPyYAML==1.2.2`
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- `asteroid-filterbanks==0.4.0`
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- `julius==0.2.7`
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- `onnxruntime==1.23.2`
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- `protobuf==6.33.1`
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- `coloredlogs==15.0.1`
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- `humanfriendly==10.0`
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### 6. **Torch Audio Processing Dependencies**
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- `torch-audiomentations==0.12.0`
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- `torch_pitch_shift==1.2.5`
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- `torchcodec==0.7.0`
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- `torchmetrics==1.8.2`
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### 7. **Additional Data Processing**
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- `av==15.1.0` (for video processing)
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- `imageio==2.37.2`
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- `imageio-ffmpeg==0.6.0`
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- `moviepy==2.2.1`
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- `pydub==0.25.1`
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## Recommendations
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### High Priority (MUST FIX)
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1. Pin pyannote versions exactly as in working environment
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2. Update OpenAI to 2.x range
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3. Update Pinecone to 6.x
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4. Add transformers, tokenizers, sentencepiece (likely needed for model loading)
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5. Add speechbrain (likely needed by pyannote)
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### Medium Priority (SHOULD ADD)
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1. Add PyTorch ecosystem packages: pytorch-lightning, pytorch-metric-learning, torchmetrics
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2. Add audio processing: torch-audiomentations, torch_pitch_shift, torchcodec
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3. Add video processing: av, moviepy, imageio
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### Low Priority (OPTIONAL)
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1. Add logging utilities: coloredlogs, humanfriendly
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2. Add config management: omegaconf, HyperPyYAML
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