Delete python

python/Dockerfile

@@ -1,12 +0,0 @@
-FROM python:3.12-slim
-
-RUN apt-get update && apt-get install -y git
-
-WORKDIR /app
-
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
-
-COPY app.py .
-
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

python/app.py

@@ -1,41 +0,0 @@
-from fastapi import FastApi, Request
-from pydantic import BaseModel
-from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
-from fastapi.middleware import CORSMiddleware
-
-app = FastApi()
-
-app.add_middleware(
-   CORSMiddleware,
-   allow_origins=["*"],
-   allow_methods=["*"],
-   allow_methods=["*"],
-)
-
-model_name = "pszemraj/long-t5-tglobal-base-16384-book-summary"
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
-
-class InputText(BaseModel):
-   text: str
-
-@app.post("/summarize")
-async def summarize(input: InputText):
-   inputs = tokenizer(
-      input.text,
-      return_tensors="pt",
-      max_length=16384,
-      truncation=True,
-   )
-
-   summary_ids = model.generate(
-      inputs["input_ids"],
-      max_length=1024,
-      min_length=50,
-      length_penalty=2.0,
-      num_beams=4,
-      early_stopping=True,
-   )
-
-   summary = tokenizer.decode(summary_ids[0], skip_special_tokens=True)
-   return summary

python/requirements.txt

@@ -1,5 +0,0 @@
-fastapi
-uvicorn
-transformers
-torch
-accelerate