Rename sentiment_analysis.py to app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the sentiment analysis pipeline
+sentiment_pipeline = pipeline("sentiment-analysis")
+
+# Function to analyze sentiment
+def analyze_sentiment(text):
+    result = sentiment_pipeline(text)[0]
+    label = result['label']
+    score = round(result['score'], 3)
+    return f"{label} ({score})"
+
+# Create Gradio interface
+interface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(lines=2, placeholder="Type a sentence here..."),
+    outputs="text",
+    title="Sentiment Analyzer",
+    description="Enter text to analyze its sentiment using a Hugging Face model.",
+)
+
+# Launch the app
+interface.launch()

sentiment_analysis.py

@@ -1,13 +0,0 @@
-from transformers import pipeline
-
-# Step 1: Load the sentiment-analysis pipeline
-sentiment_analyzer = pipeline("sentiment-analysis")
-
-# Step 2: Provide some input text
-text = "I love using Hugging Face models! They are amazing."
-
-# Step 3: Get the prediction
-result = sentiment_analyzer(text)
-
-# Step 4: Print the result
-print(result)