Update app.py

app.py

@@ -1,12 +1,28 @@
+import gradio as gr
 from transformers import pipeline
 
+# Initialize the sentiment analysis pipeline
 sentiment_pipeline = pipeline(
     "text-classification",
     model="hasanmustafa0503/SentimentModel",
     tokenizer="hasanmustafa0503/SentimentModel"
 )
 
-text = "I absolutely love this new feature! Great job 👍"
-result = sentiment_pipeline(text)
-print(result)
+# Function to classify sentiment of text
+def classify_sentiment(text):
+    result = sentiment_pipeline(text)
+    return result[0]['label'], result[0]['score']
+
+# Define Gradio interface
+iface = gr.Interface(
+    fn=classify_sentiment,  # Function to call
+    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),  # Text input box
+    outputs=[gr.Label(), gr.Number()],  # Label for sentiment and score
+    title="Sentiment Analysis",  # Title for the app
+    description="Enter some text, and this tool will predict the sentiment as POSITIVE or NEGATIVE along with the confidence score.",  # Description
+)
+
+# Launch the app
+iface.launch()
+