Delete app1.py

app1.py

@@ -1,37 +0,0 @@
-import torch
-from transformers import AutoModelForSequenceClassification, AutoTokenizer
-import gradio as gr
-
-# Path to the saved model in Hugging Face Spaces
-model_name = 'AliArshad/SeverityPredictor'  # Replace with your actual username and model name
-model = AutoModelForSequenceClassification.from_pretrained(model_name)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-
-
-# Function for prediction
-def xl_net_predict(text):
-    inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=100)
-    with torch.no_grad():
-        outputs = model(**inputs)
-    logits = outputs.logits
-    probabilities = torch.softmax(logits, dim=1)
-    predicted_class = torch.argmax(probabilities).item()
-    return "Severe" if predicted_class == 1 else "Non-severe"
-
-# Customizing the interface
-iface = gr.Interface(
-    fn=xl_net_predict,
-    inputs=gr.Textbox(lines=2, label="Summary", placeholder="Enter text here..."),
-    outputs=gr.Textbox(label="Predicted Severity"),
-    title="XLNet Based Bug Report Severity Prediction",
-    description="Enter text and predict its severity (Severe or Non-severe).",
-    theme="huggingface",
-    examples=[
-        ["Can't open multiple bookmarks at once from the bookmarks sidebar using the context menu"],
-        ["Minor enhancements to make-source-package.sh"]
-    ],
-    allow_flagging=False
-)
-
-
-iface.launch()