English-Malayalam Translate v14

main.py

@@ -3,27 +3,18 @@ from fastapi import FastAPI
 from fastapi.staticfiles import StaticFiles
 #from fastapi.responses import FileResponse
 from fastapi.templating import Jinja2Templates
-from transformers import MBartForConditionalGeneration, MBart50TokenizerFast
+from transformers import pipeline
 
 
-model = MBartForConditionalGeneration.from_pretrained("facebook/mbart-large-50-one-to-many-mmt")
-tokenizer = MBart50TokenizerFast.from_pretrained("facebook/mbart-large-50-one-to-many-mmt", src_lang="en_XX")
-
 app = FastAPI()
 templates = Jinja2Templates(directory="templates")
 
+pipe_flan = pipeline("translation_xx_to_en", model="google/flax-t5-base-ml-mono", tokenizer="google/mt5-base")
+
 @app.get("/infer_t5")
 def t5(input):
-    model_inputs = tokenizer(input, return_tensors="pt")
-
-    # translate from English to Malayalam
-    generated_tokens = model.generate(
-        **model_inputs,
-        forced_bos_token_id=tokenizer.lang_code_to_id["ml_IN"]
-    )
-    
-    output = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
-    return {"output":output}
+    output = pipe_flan(input)
+    return {"output": output[0]["generated_text"]}
 
 app.mount("/", StaticFiles(directory="static", html=True), name="static")
 

requirements.txt

@@ -1,6 +1,6 @@
 fastapi==0.74.*
 requests==2.27.*
-torch
-transformers
-sentencepiece
+sentencepiece==0.1.*
+torch==1.11.*
+transformers==4.*
 uvicorn[standard]==0.17.*