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from fastapi import FastAPI, Query
from transformers import pipeline
app = FastAPI()
def initialize_pipeline():
return pipeline("text-classification", model="FacebookAI/roberta-large-mnli")
pipe = initialize_pipeline()
# @app.get("/docs")
# def home():
# return {"message": "Hello Siddhant"}
@app.get("/")
def generate_text(
text: str = Query(None, description="Input text to generate from"),
prompt: str = Query(None, description="Optional prompt for fine-tuning the generated text"),
):
if not text and not prompt:
return {"error": "Please provide either 'text' or 'prompt' parameter."}
if prompt:
input_text = f"{text} {prompt}" if text else prompt
else:
input_text = text
output = pipe(input_text, max_length=100, do_sample=True, top_k=50)
return {"input_text": input_text, "output": output[0]["generated_text"]}
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