Create app.py

app.py

@@ -0,0 +1,32 @@
+import gradio as gr
+from transformers import pipeline
+
+# Function to generate the story
+def generate_story(title, model_name):
+    # Use text-generation pipeline from Hugging Face
+    generator = pipeline('text-generation', model=model_name)
+    # Generate the story based on the input title
+    story = generator(title,
+                      max_length=200,  # Fixed max length for the story
+                      temperature=0.7, # Fixed temperature for some randomness
+                      num_return_sequences=1)
+
+    # Return the generated text
+    return story[0]['generated_text']
+    
+# Create the Gradio interface using gr.Interface
+demo = gr.Interface(
+    fn=generate_story,  # The function to run
+    inputs=[             # Inputs for the interface
+        gr.Textbox(label="Enter Story Title", placeholder="Type a title here..."),  # Title input
+        gr.Dropdown(choices=['gpt2', 'gpt2-medium', 'gpt2-large', 'EleutherAI/gpt-neo-2.7B', 'EleutherAI/gpt-j-6B'],
+                    value='gpt2',
+                    label="Choose Model")  # Model selection input
+    ],
+    outputs=gr.Textbox(label="Generated Story", lines=10),  # Output for the generated story
+    title="AI Story Generator",  # Title of the interface
+    description="Enter a title and choose a model to generate a short story"  # A short description
+)
+
+# Launch the interface
+demo.launch(share=True)