cpu version

Dockerfile

@@ -17,7 +17,7 @@ WORKDIR /app
 
 COPY requirements.txt .
 RUN pip install --no-cache-dir --upgrade pip && \
-    pip install --no-cache-dir -r requirements.txt && \
+    pip install --no-cache-dir -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cpu && \
     python -m spacy download en_core_web_sm
 
 RUN pip install --no-cache-dir "youtube-transcript-api>=1.2.4"

app/models/schemas.py

@@ -5,6 +5,7 @@ from typing import Any, Dict, List, Literal, Optional
 from pydantic import BaseModel, Field, field_validator, model_validator
 
 
+
 class ConversionMetadata(BaseModel):
     source: str
     char_count: int
@@ -236,6 +237,15 @@ class EmbeddingRequest(BaseModel):
     content: List[str] = Field(..., min_length=1, max_length=10, description="Array of text strings to embed (max 10)")
     dimension: int = Field(default=384, ge=384, le=1024, description="Target embedding dimension (384, 768, or 1024)")
 
+    @field_validator("content")
+    @classmethod
+    def validate_content_length(cls, v: List[str]) -> List[str]:
+        if len(v) > 10:
+            raise ValueError("Maximum 10 text items allowed per request.")
+        if len(v) < 1:
+            raise ValueError("At least 1 text item is required.")
+        return v
+
 
 class EmbeddingResponse(BaseModel):
     success: bool