# --- Core app ---
# Keep gradio pinned to the README `sdk_version` so the Space runtime and pip agree.
# Must be >5.0.0 (fish-speech 2.0 requires it) but <5.28.0: the `mcp` extra that HF's
# builder auto-appends from 5.28 onward pulls pydantic>=2.11, which clashes with
# fish-speech's hard pin pydantic==2.9.2. 5.27.0 has no mcp extra, so the clash is avoided.
gradio==5.27.0
spaces>=0.30.0

# --- Phase 1: research / content generation ---
langgraph>=0.2.0
langchain-core>=0.3.0
huggingface_hub>=0.25.0
ddgs>=6.0.0

# --- Phase 2: Fish Audio (OpenAudio S1-mini) TTS ---
# fish-speech provides the inference engine + model code (no stable PyPI release).
# Pinned to the OpenAudio-S1 commit (781bf1c, 2025-10-20) whose FishTokenizer loads the
# model's tiktoken vocab directly. Do NOT bump to the S2-beta line (2026-03-10+): that
# refactor switched FishTokenizer to transformers AutoTokenizer, which can't read
# fishaudio/openaudio-s1-mini (it ships tokenizer.tiktoken + special_tokens.json, no
# tokenizer.json, with model_type=dual_ar) — yielding a None tokenizer and empty audio.
# This commit still exposes the dac decoder + TTSInferenceEngine + ServeTTSRequest API
# used in tts/engine.py, and keeps the same pydantic==2.9.2 pin (so gradio<5.28 holds).
fish-speech @ git+https://github.com/fishaudio/fish-speech.git@781bf1cd7afef831fc58928a6444a2161449dae5

# Pin to 2.8.0 (matches fish-speech's torch<2.9.0). torchaudio 2.9 removed
# torchaudio.list_audio_backends() and migrated audio I/O to TorchCodec, which this
# S1-era fish-speech doesn't use — it calls list_audio_backends() in ReferenceLoader and
# torchaudio.load/save elsewhere. 2.8.0 is the version that loaded the models and reached
# generation on this ZeroGPU Space. torch and torchaudio versions must match exactly.
torch==2.8.0
torchaudio==2.8.0
numpy>=1.26.0
soundfile>=0.12.1