Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+import pickle
+from transformers import pipeline
+
+def load_model(selected_model):
+    with open(selected_model, 'rb') as file:
+        loaded_model = pickle.load(file)
+    return loaded_model
+
+encoder = {
+        'negative':'assets/negative.jpg',
+        'neutral':'assets/neutral.jpg',
+        'positive':'assets/positive.jpeg'
+    }
+
+classifier = pipeline(task="zero-shot-classification", model="facebook/bart-large-mnli")
+def analyze_sentiment(text):
+  results = classifier(text,["positive","negative",'neutral'],multi_label=True)
+  mx = max(results['scores'])
+  ind = results['scores'].index(mx)
+  result = results['labels'][ind]
+  return encoder[result]
+
+demo = gr.Interface(fn=analyze_sentiment, inputs="text", outputs="image", title="Sentiment Analysis") 
+demo.launch(share=True)