Delete app.py

app.py

@@ -1,25 +0,0 @@
-import streamlit as st
-from transformers import pipeline
-from transformers import AutoTokenizer as AT, AutoModelForSequenceClassification as AFSC
-
-modName = "madhurjindal/autonlp-Gibberish-Detector-492513457" # Gibberish Detection Model from HuggingFace
-
-mod = AFSC.from_pretrained(modName)
-TKR = AT.from_pretrained(modName)
-
-st.title("Gibberish Detector")
-
-user_input = str(st.text_input("Enter some words", "pasghetti"))
-
-st.markdown("Input was: ", user_input)
-
-classifier = pipeline("sentiment-analysis", model=mod, tokenizer=TKR)
-# result = classifier(["This is a sample text made by Sean Ramirez.", "This is another sample text."]) # leftover from initial testing
-
-if user_input is not None:
-    col = st.columns(1)
-    predicts = pipeline("sentiment-analysis", model=mod, tokenizer=TKR)
-
-    col.header("Probabilities")
-    for p in predicts:
-        col.subheader(f"{ p['label']}: { round(p['score'] * 100, 1)}%")