Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the sentiment analysis and named entity recognition pipelines from Hugging Face Transformers
+sentiment_analyzer = pipeline('sentiment-analysis')
+ner_analyzer = pipeline('ner')
+
+# Function to perform multiple analyses on text
+def analyze_text(text):
+    # Sentiment analysis
+    sentiment_result = sentiment_analyzer(text)[0]
+    sentiment_analysis = f"Sentiment: {sentiment_result['label']} ({sentiment_result['score']:.2f})"
+
+    # Named Entity Recognition (NER)
+    ner_results = ner_analyzer(text)
+    ner_analysis = "Named Entities:\n" + "\n".join([f"{entity['word']} ({entity['entity']})" for entity in ner_results])
+
+    return sentiment_analysis + "\n\n" + ner_analysis
+
+# Create a Gradio interface
+iface = gr.Interface(fn=analyze_text, inputs="text", outputs="text")
+
+# Launch the Gradio app
+iface.launch()
+
+