Update app.py

app.py

@@ -3,15 +3,8 @@ import streamlit as st
 from transformers import pipeline
 from gtts import gTTS
 import os
-from retrying import retry  # For retry logic
-
-# Retry decorator for handling transient errors
-def retry_if_timeout_error(exception):
-    """Return True if the exception is a timeout error."""
-    return isinstance(exception, Exception) and "Read timed out" in str(exception)
 
 # Function to convert image to text using Hugging Face's BLIP model
-@retry(stop_max_attempt_number=3, wait_fixed=2000, retry_on_exception=retry_if_timeout_error)  # Retry 3 times with a 2-second delay
 def img2text(url):
     """
     Converts an image to text using the Salesforce/blip-image-captioning-base model.
@@ -22,8 +15,7 @@ def img2text(url):
     Returns:
         str: Generated text caption from the image, without words like "illustration".
     """
-    # Increase timeout to 30 seconds
-    image_to_text_model = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base", device_map="auto", timeout=30)
+    image_to_text_model = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
     text = image_to_text_model(url)[0]["generated_text"]
     
     # Remove unwanted words like "illustration"
@@ -34,7 +26,6 @@ def img2text(url):
     return text.strip()
 
 # Function to generate a kid-friendly story from the text caption
-@retry(stop_max_attempt_number=3, wait_fixed=2000, retry_on_exception=retry_if_timeout_error)  # Retry 3 times with a 2-second delay
 def text2story(text):
     """
     Generates a kid-friendly story from the text caption using the aspis/gpt2-genre-story-generation model.
@@ -48,8 +39,8 @@ def text2story(text):
     # Add a prompt to ensure the story is happy, fun, and appropriate for kids
     prompt = f"Base on the following scenario: {text}, write a happy,fun and complete story for kids with no sad, violent, scary elements."
     
-    # Load the text generation model with increased timeout
-    story_generator = pipeline("text-generation", model="aspis/gpt2-genre-story-generation", device_map="auto", timeout=30)
+    # Load the text generation model
+    story_generator = pipeline("text-generation", model="aspis/gpt2-genre-story-generation")
     
     # Generate the story
     story = story_generator(prompt, max_length=150, num_return_sequences=1, temperature=0.7, top_k=50, top_p=0.9)[0]["generated_text"]
@@ -57,7 +48,7 @@ def text2story(text):
     # Remove the prompt from the generated story
     story = story.replace(prompt, "").strip()
     
-    # Ensure the story is within 100 words
+    # Ensure the story is within 95 words
     story_words = story.split()
     if len(story_words) > 100:
         story = " ".join(story_words[:100])
@@ -110,31 +101,21 @@ if uploaded_file is not None:
 
     # Stage 1: Image to Text
     st.text('✨ Turning your picture into words...')
-    try:
-        scenario = img2text(uploaded_file.name)
-        st.write("**What we see:**", scenario)
-    except Exception as e:
-        st.error(f"Oops! Something went wrong while processing the image. Please try again. Error: {e}")
+    scenario = img2text(uploaded_file.name)
+    st.write("**What we see:**", scenario)
 
     # Stage 2: Text to Story
     st.text('📖 Creating a fun story for you...')
-    try:
-        story = text2story(scenario)
-        st.write("**Your story:**", story)
-    except Exception as e:
-        st.error(f"Oops! Something went wrong while generating the story. Please try again. Error: {e}")
+    story = text2story(scenario)
+    st.write("**Your story:**", story)
 
     # Stage 3: Story to Audio
     st.text('🎧 Turning your story into audio...')
-    try:
-        audio_file = text2audio(story)
-    except Exception as e:
-        st.error(f"Oops! Something went wrong while converting the story to audio. Please try again. Error: {e}")
+    audio_file = text2audio(story)
 
     # Play button for the generated audio
     if st.button("🎵 **Play Audio**"):
         st.audio(audio_file, format="audio/mp3")
 
     # Clean up the generated audio file
-    if os.path.exists(audio_file):
-        os.remove(audio_file)
+    os.remove(audio_file)