Update app.py

app.py

@@ -1,65 +1,78 @@
 # import part
 import streamlit as st
 from transformers import pipeline
-import torch
+from gtts import gTTS
+import os
 
 # function part
 # img2text
 def img2text(url):
-    image_to_text_model = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
-    text = image_to_text_model(url)[0]["generated_text"]
-    # Make the caption simple and fun for kids
-    fun_caption = f"Look what we found! 🎨 {text}"
-    return fun_caption
+    try:
+        image_to_text_model = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
+        text = image_to_text_model(url)[0]["generated_text"]
+        # Make the caption more fun and creative
+        fun_caption = f"✨ Wow! Look at this! It’s a picture of {text.lower()}. Let’s turn it into a fun story! ✨"
+        return fun_caption
+    except Exception as e:
+        st.error(f"Oops! Something went wrong while looking at your picture. Please try again! 🪄")
+        return None
 
 # text2story
 def text2story(text):
-    # Use DistilGPT-2 for text generation
-    story_generator = pipeline("text-generation", model="distilgpt2")
-    # Generate a story with a maximum of 90 words
-    story = story_generator(text, max_length=90, num_return_sequences=1)[0]["generated_text"]
-    # Ensure the story does not exceed 90 words
-    story = " ".join(story.split()[:90])  # Truncate to 90 words
-    # Make the story simple and fun for kids
-    fun_story = f"Once upon a time... 🌟 {story}"
-    return fun_story
+    try:
+        story_generator = pipeline("text-generation", model="gpt2")
+        # Add a playful prompt to guide the story generation
+        prompt = f"Once upon a time, there was {text}. "
+        story = story_generator(prompt, max_length=95, num_return_sequences=1)[0]["generated_text"]
+        # Make the story more fun by adding a happy ending
+        fun_story = story + " And they all lived happily ever after! 🌈✨"
+        return fun_story
+    except Exception as e:
+        st.error(f"Oops! Something went wrong while creating your story. Please try again! 🪄")
+        return None
 
 # text2audio
 def text2audio(story_text):
-    # Use FastSpeech 2 for text-to-speech
-    tts_pipeline = pipeline("text-to-speech", model="facebook/fastspeech2-en-ljspeech")
-    audio_data = tts_pipeline(story_text)
-    return audio_data
+    try:
+        tts = gTTS(text=story_text, lang='en')
+        audio_file = "story_audio.mp3"
+        tts.save(audio_file)
+        return audio_file
+    except Exception as e:
+        st.error(f"Oops! Something went wrong while turning your story into audio. Please try again! 🪄")
+        return None
 
 # main part
-st.set_page_config(page_title="Story Maker", page_icon="🦜")
-st.header("Story Maker: Turn Your Picture into a Story!")
-uploaded_file = st.file_uploader("Select an Image...")
+st.set_page_config(page_title="Story Maker", page_icon="🦄")
+st.header("🌟 Story Maker: Turn Your Picture into a Fun Story! 🌟")
+uploaded_file = st.file_uploader("📷 Choose a picture to create a fun story...", type=["jpg", "jpeg", "png"])
 
 if uploaded_file is not None:
     bytes_data = uploaded_file.getvalue()
     with open(uploaded_file.name, "wb") as file:
         file.write(bytes_data)
 
-    st.image(uploaded_file, caption="Your Picture", use_container_width=True)
+    st.image(uploaded_file, caption="Your picture!", use_container_width=True)
 
     # Stage 1: Image to Text
-    st.text('✨ Discovering what’s in your picture...')
+    st.write("✨ Let’s see what’s in your picture... ✨")
     scenario = img2text(uploaded_file.name)
-    st.write(f"Here’s what we found: {scenario}")
+    if scenario:
+        st.write(scenario)
 
-    # Stage 2: Text to Story
-    st.text('🎭 Creating a fun story for you...')
-    story = text2story(scenario)
-    st.write(story)
+        # Stage 2: Text to Story
+        st.write("🧙‍♂️ Turning your picture into a story... 🧙‍♀️")
+        story = text2story(scenario)
+        if story:
+            st.write("📖 Here’s your story:")
+            st.write(story)
 
-    # Stage 3: Story to Audio data
-    st.text('🔊 Turning your story into audio...')
-    audio_data = text2audio(story)
-
-    # Play button
-    if st.button("Play Audio"):
-        st.audio(audio_data['audio'],
-                 format="audio/wav",
-                 start_time=0,
-                 sample_rate=audio_data['sampling_rate'])
+            # Stage 3: Story to Audio
+            st.write("🎤 Getting ready to tell your story... 🎤")
+            audio_file = text2audio(story)
+            if audio_file:
+                # Play button
+                if st.button("🎧 Listen to Your Story!"):
+                    st.audio(audio_file, format="audio/mp3")
+                # Clean up the audio file after playing
+                os.remove(audio_file)