app

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import pipeline
+
+# Initialize the Hugging Face sentiment-analysis pipeline
+nlp = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
+
+
+def sentiment_analysis(text):
+    result = nlp(text)[0]
+    return f"label: {result['label']}, with score: {round(result['score'], 4)}"
+
+# Define example inputs
+examples = [
+    ['Absolutely love my new lamp from BrightLight Co.! The design is elegant and modern, seamlessly blending into my home decor.'], 
+    ['The movie was a great disappointment.'],
+    ['Sarah at SeriouslyNutz has awesome parrot toys. My African Grey loves them all!']
+]
+
+iface = gr.Interface(fn=sentiment_analysis, 
+                     inputs=gr.inputs.Textbox(lines=7, label="Input Text"), # Set the lines to 7 for a larger text box
+                     outputs="text",
+                     examples=examples) # Add example inputs
+
+iface.launch()

requirements.txt

@@ -0,0 +1,2 @@
+gradio
+transformers