Delete app.py

app.py

@@ -1,40 +0,0 @@
-import streamlit as st
-import transformers
-import torch
-
-# Define sentiment analysis models
-models = {
-    "DistilBERT": transformers.pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english"),
-    "BERT": transformers.pipeline("sentiment-analysis", model="bert-base-uncased-finetuned-sst-2-english"),
-    "RoBERTa": transformers.pipeline("sentiment-analysis", model="roberta-base-openai-detector"),
-}
-
-# Define function to analyze sentiment using selected model
-def analyze_sentiment(text, model_name):
-    model = models[model_name]
-    result = model(text)[0]
-    return result['label'], result['score']
-
-# Define Streamlit app
-def app():
-    st.title("Sentiment Analysis App")
-
-    # User input
-    text = st.text_area("Enter text to analyze", max_chars=1024)
-
-    # Sentiment analysis
-    if st.button("Analyze"):
-        st.write("Analyzing sentiment...")
-        with st.spinner("Wait for it..."):
-            results = []
-            for model_name in models:
-                label, score = analyze_sentiment(text, model_name)
-                results.append((model_name, label, score))
-        st.success("Sentiment analysis complete!")
-        st.write("Results:")
-        for model_name, label, score in results:
-            st.write(f"- {model_name}: {label} ({score:.2f})")
-
-# Run Streamlit app
-if __name__ == "__main__":
-    app()