Upload demo.py

demo.py

@@ -0,0 +1,48 @@
+# -*- coding: utf-8 -*-
+"""demo.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/19sodc0ANzqRgZ0VzMGXr4YQ3fvUvxyjv
+"""
+
+!pip install gradio --quiet
+!pip install transformers --quiet
+
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+sentiment_analysis = pipeline("text-classification", model="avichr/heBERT_sentiment_analysis")
+def analyze_sentiment(text):
+    results = sentiment_analysis(text)
+    for result in results:
+        print(f"Label: {result['label']}, Score: {result['score']}")
+
+texts = [
+    "Worst rental I ever got"
+    "I really enjoyed my stay !"
+
+]
+
+analyze_sentiment(texts)
+
+!pip install gradio
+
+import gradio as gr
+from transformers import pipeline
+
+
+
+interface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(lines=2, placeholder="Enter your review or statement here..."),
+    outputs=[
+        gr.Textbox(label="Sentiment"),
+        gr.Number(label="Score")
+    ],
+    title="Sentiment Analysis Score"
+)
+
+
+interface.launch()