Requirements: Pin versions for some dependencies

Pydantic and Jinja2 need pinned versions.

Signed-off-by: kingbri <bdashore3@proton.me>

main.py

@@ -192,7 +192,7 @@ async def unload_model():
 @app.get("/v1/lora/list", dependencies=[Depends(check_api_key)])
 async def get_all_loras():
     model_config = unwrap(config.get("model"), {})
-    lora_config =  unwrap(model_config.get("lora"), {})
+    lora_config = unwrap(model_config.get("lora"), {})
     lora_path = pathlib.Path(unwrap(lora_config.get("lora_dir"), "loras"))
 
     loras = get_lora_list(lora_path.resolve())

requirements-amd.txt

@@ -8,8 +8,8 @@ https://github.com/turboderp/exllamav2/releases/download/v0.0.11/exllamav2-0.0.1
 
 # Pip dependencies
 fastapi
-pydantic
+pydantic >= 2.0.0
 PyYAML
 progress
 uvicorn
-jinja2
+jinja2 >= 3.0.0

requirements-cu118.txt

@@ -14,11 +14,11 @@ https://github.com/turboderp/exllamav2/releases/download/v0.0.11/exllamav2-0.0.1
 
 # Pip dependencies
 fastapi
-pydantic
+pydantic >= 2.0.0
 PyYAML
 progress
 uvicorn
-jinja2
+jinja2 >= 3.0.0
 
 # Linux FA2 from https://github.com/Dao-AILab/flash-attention/releases
 https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.6/flash_attn-2.3.6+cu118torch2.1cxx11abiFALSE-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"

requirements-nowheel.txt

@@ -1,7 +1,7 @@
 # Pip dependencies
 fastapi
-pydantic
+pydantic >= 2.0.0
 PyYAML
 progress
 uvicorn
-jinja2
+jinja2 >= 3.0.0

requirements.txt

@@ -14,11 +14,11 @@ https://github.com/turboderp/exllamav2/releases/download/v0.0.11/exllamav2-0.0.1
 
 # Pip dependencies
 fastapi
-pydantic
+pydantic >= 2.0.0
 PyYAML
 progress
 uvicorn
-jinja2
+jinja2 >= 3.0.0
 
 # Flash attention v2