Create app.py

app.py

@@ -0,0 +1,39 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the sentiment analysis and named entity recognition pipelines
+sentiment_analysis = pipeline("sentiment-analysis")
+ner = pipeline("ner")
+
+# Create a Gradio interface
+def generate_story(user_input):
+    # Analyze the sentiment of the user's input
+    sentiment_result = sentiment_analysis(user_input)[0]
+    
+    # Identify named entities in the user's input
+    named_entities = ner(user_input)
+
+    # Generate the story based on user input, sentiment, and named entities
+    story = f"You seem to be feeling {sentiment_result['label'].lower()}.\n"
+
+    if named_entities:
+        story += "I noticed the following entities in your input:\n"
+        for entity in named_entities:
+            story += f"- {entity['word']} ({entity['entity']})\n"
+
+    story += "Once upon a time..."
+    
+    return story
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=generate_story,
+    inputs=gr.inputs.Textbox("Enter your input"),
+    outputs=gr.outputs.Textbox("Generated Story"),
+    live=True,
+    title="Interactive Story Generator",
+    description="Enter your input, and we will generate an interactive story for you."
+)
+
+# Launch the interface
+iface.launch()