Update app.py

app.py

@@ -0,0 +1,29 @@
+import torch
+import gradio as gr
+from transformers import pipeline
+
+# Initialize the sentiment-analysis pipeline
+semantic_analysis = pipeline("sentiment-analysis", model="BAAI/bge-reranker-v2-m3")
+
+# Define a function to analyze text semantics
+def analyze_semantics(input_text):
+    # Get the result from the pipeline
+    result = semantic_analysis(input_text)
+    # Extract label (e.g., Positive/Negative) and confidence score
+    label = result[0]['label']
+    confidence = round(result[0]['score'] * 100, 2)
+    return f"Sentiment: {label} (Confidence: {confidence}%)"
+
+# Set up the Gradio interface
+gr.close_all()
+
+Demo = gr.Interface(
+    fn=analyze_semantics,
+    inputs=[gr.Textbox(label="Enter Text for Semantic Analysis", lines=5)],
+    outputs=[gr.Textbox(label="Semantic Analysis Result", lines=2)],
+    title="Semantic Analysis App",
+    description="This application performs semantic analysis to determine the sentiment of the given text."
+)
+
+# Launch the app with a public link
+Demo.launch(share=True)