Update app.py

app.py

@@ -1,34 +1,41 @@
 import gradio as gr
 from transformers import pipeline
 
+# Function to clean the output by truncating at the last full sentence
+def clean_output(text):
+    if '.' in text:
+        return text[:text.rfind('.')+1]  # Truncate at the last full sentence
+    return text  # Return the text as is if no period is found
+
 # 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=230,  # Set the maximum length for the generated text (story) to 230 tokens
-                      no_repeat_ngram_size=3,  # Avoid repeating any sequence of 3 words (to prevent repetitive text)
-                      temperature=0.8,  # Introduce some randomness; higher values make the output more random, lower makes it more deterministic
-                      top_p=0.95  # Use nucleus sampling (top-p sampling) to focus on the top 95% of probable words, making the text more coherent
-                      )
-    # Return the generated text
-    return story[0]['generated_text']
+                      no_repeat_ngram_size=3,  # Avoid repeating sequences of 3 words
+                      temperature=0.8,  # Introduce some randomness for diversity
+                      top_p=0.95  # Nucleus sampling for more coherent text
+                      )[0]['generated_text']
+    
+    # Clean the generated story to ensure it ends with a full sentence
+    cleaned_story = clean_output(story)
+    
+    # Return the cleaned story
+    return cleaned_story
 
-# Create the Gradio interface using gr.Interface
+# Gradio interface setup
 demo = gr.Interface(
-    fn=generate_story,  # The function to run
-    inputs=[             # Inputs for the interface
+    fn=generate_story,
+    inputs=[
         gr.Textbox(label="Enter Story Title", placeholder="Type a title here..."),  # Title input
-        gr.Dropdown(choices=['gpt2', 'gpt2-large', 'EleutherAI/gpt-neo-2.7B', 'EleutherAI/gpt-j-6B',
-                             'maldv/badger-writer-llama-3-8b', 'EleutherAI/gpt-neo-1.3B'],
-                    value='gpt2',
-                    label="Choose Model")  # Model selection input
+        gr.Dropdown(choices=['gpt2', 'gpt2-large', 'EleutherAI/gpt-neo-2.7B'], value='gpt2', label="Select Model")  # Model selection
     ],
-    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
+    outputs="text",
+    title="AI Story Generator",
+    description="Generate a creative story using different AI models."
 )
 
-# Launch the interface
-demo.launch(share=True)
+demo.launch(share=True)