fix: lint

a2t-whisper/main.py

@@ -4,9 +4,8 @@
 from dotenv import load_dotenv
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
-from routes import router as api_router
-
 from models import WhisperBasedModel
+from routes import router as api_router
 
 load_dotenv()
 

a2t-whisper/routes.py

@@ -1,9 +1,8 @@
 import os
 
 from fastapi import APIRouter, UploadFile
-from pydantic import BaseModel
-
 from models import WhisperBasedModel as inference_model
+from pydantic import BaseModel
 
 
 class AudioTranscriptionResponse(BaseModel):

cdr-replit/main.py

@@ -4,9 +4,8 @@
 from dotenv import load_dotenv
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
-from routes import router as api_router
-
 from models import ReplitBasedModel
+from routes import router as api_router
 
 load_dotenv()
 

cdr-replit/routes.py

@@ -4,9 +4,8 @@
 from typing import List, Optional, Union
 
 from fastapi import APIRouter
-from pydantic import BaseModel
-
 from models import ReplitBasedModel as model
+from pydantic import BaseModel
 
 
 class ChatCompletionInput(BaseModel):

cdr-t5/main.py

@@ -4,9 +4,8 @@
 from dotenv import load_dotenv
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
-from routes import router as api_router
-
 from models import T5BasedModel
+from routes import router as api_router
 
 load_dotenv()
 

cdr-t5/routes.py

@@ -4,9 +4,8 @@
 from typing import List, Optional, Union
 
 from fastapi import APIRouter
-from pydantic import BaseModel
-
 from models import T5BasedModel as model
+from pydantic import BaseModel
 
 
 class ChatCompletionInput(BaseModel):

cht-dolly-v2/main.py

@@ -4,9 +4,8 @@
 from dotenv import load_dotenv
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
-from routes import router as api_router
-
 from models import DollyBasedModel
+from routes import router as api_router
 
 load_dotenv()
 

cht-dolly-v2/routes.py

@@ -5,9 +5,8 @@
 
 from fastapi import APIRouter, HTTPException
 from fastapi.responses import StreamingResponse
-from pydantic import BaseModel
-
 from models import DollyBasedModel as model
+from pydantic import BaseModel
 
 
 class ChatCompletionInput(BaseModel):

cht-falcon/main.py

@@ -5,9 +5,8 @@
 from dotenv import load_dotenv
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
-from routes import router as api_router
-
 from models import FalconBasedModel
+from routes import router as api_router
 
 load_dotenv()
 

cht-falcon/routes.py

@@ -6,9 +6,8 @@
 
 from fastapi import APIRouter, HTTPException
 from fastapi.responses import StreamingResponse
-from pydantic import BaseModel
-
 from models import FalconBasedModel as model
+from pydantic import BaseModel
 
 
 class ChatCompletionInput(BaseModel):

cht-llama-cpp/routes.py

@@ -6,9 +6,8 @@
 
 from fastapi import APIRouter, HTTPException
 from fastapi.responses import StreamingResponse
-from pydantic import BaseModel
-
 from models import LLaMACPPBasedModel as model
+from pydantic import BaseModel
 
 
 class ChatCompletionInput(BaseModel):

dfs-diffusers/main.py

@@ -4,9 +4,8 @@
 from dotenv import load_dotenv
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
-from routes import router as api_router
-
 from models import DiffuserBasedModel
+from routes import router as api_router
 
 load_dotenv()
 

dfs-diffusers/routes.py

@@ -2,9 +2,8 @@
 from typing import List, Union
 
 from fastapi import APIRouter
-from pydantic import BaseModel
-
 from models import DiffuserBasedModel as model
+from pydantic import BaseModel
 
 
 class ImageGenerationInput(BaseModel):

ebd-all-minilm/main.py

@@ -4,9 +4,8 @@
 from dotenv import load_dotenv
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
-from routes import router as api_router
-
 from models import SentenceTransformerBasedModel
+from routes import router as api_router
 
 load_dotenv()
 

ebd-all-minilm/routes.py

@@ -2,9 +2,8 @@
 
 import tiktoken
 from fastapi import APIRouter
-from pydantic import BaseModel
-
 from models import SentenceTransformerBasedModel as model
+from pydantic import BaseModel
 
 
 class EmbeddingsInput(BaseModel):

t2a-bark/main.py

@@ -5,9 +5,8 @@
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.staticfiles import StaticFiles
-from routes import router as api_router
-
 from models import BarkBasedModel
+from routes import router as api_router
 
 load_dotenv()
 

t2a-bark/routes.py

@@ -2,11 +2,10 @@
 
 from bark import SAMPLE_RATE
 from fastapi import APIRouter
+from models import BarkBasedModel as model
 from pydantic import BaseModel
 from scipy.io.wavfile import write as write_wav
 
-from models import BarkBasedModel as model
-
 
 class AudioGenerationInput(BaseModel):
     prompt: str