Update app.py

app.py

@@ -7,19 +7,19 @@ import time
 
 from transformers import pipeline
 
-# Generates a caption for the given image using a pre-trained model.
+# Generates a caption for the given image using a pre-trained model
 def image_to_caption(image_path):
     imgtocaption = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
     caption = imgtocaption(image_path)[0]['generated_text']
     return caption
 
-# Generates a story for the caption using a pre-trained model.
+# Generates a story for the caption using a pre-trained model
 def caption_to_story(text):
     captiontostory = pipeline("text-generation", model="pranavpsv/genre-story-generator-v2")
     story = captiontostory(text,max_length=150,min_length=50)[0]['generated_text']
     return story
 
-# Generates an audio for the story.
+# Generates an audio for the story
 def story_to_audio(text):
     audio = io.BytesIO()
     tts = gTTS(text=text, lang='en', slow=False)