Update app.py

app.py

@@ -1,57 +1,47 @@
-import torch
 import streamlit as st
 from transformers import pipeline
 
 def img2text(url):
-    image_to_text = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
-    text = image_to_text(url)[0]["generated_text"]
+    image_to_text_model = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
+    text = image_to_text_model(url)[0]["generated_text"]
     return text
 
 def text2story(text):
-    generator = pipeline(
-        "text-generation",
-        model="deepseek-ai/DeepSeek-V3",
-        trust_remote_code=True,
-        torch_dtype=torch.float16,
-        device_map="auto")
+    story_generator = pipeline("text-generation", model="google/flan-t5-base")
     prompt = f"Create a story of maximum 100 words based upon {text}"
-    story = generator(prompt, max_new_tokens=100)[0]['generated_text']
-    return story
-
-def text2audio(text):
-    synthesizer = pipeline(
-        "text-to-speech", 
-        model="facebook/mms-tts-eng",
-        device_map="auto")
-    audio = synthesizer(text)
-    return audio
-
-st.set_page_config(page_title="Once Upon A Time - Storytelling Application", page_icon="📖")
-st.header("Create a story of yours with an image!")
+    generated = story_generator(prompt, max_length=100)
+    story_text = generated[0]['generated_text']
+    return story_text
+
+def text2audio(story_text):
+    audio_data = pipeline("text-to-speech", model="facebook/mms-tts-eng")
+    return audio_data
 
+st.set_page_config(page_title="Once Upon A Time - Storytelling Application", page_icon="📖🏰🦄🧙")
+st.header("Create a story of yours with an image!")
 uploaded_file = st.file_uploader("Upload an image of your story!")
 
 if uploaded_file is not None:
-    with open(uploaded_file.name, "wb") as f:
-        f.write(uploaded_file.getbuffer())
-    
-    st.image(uploaded_file, caption="Uploaded Image", use_column_width=True)
-
-    with st.spinner('Analyzing image...'):
-        scenario = img2text(uploaded_file.name)
-        st.subheader("Image Description")
-        st.write(scenario)
-
-    with st.spinner('Crafting your story...'):
-        story = text2story(scenario)
-        st.subheader("Your Story")
-        st.write(story)
-
-    with st.spinner('Generating audio...'):
-        audio_data = text2audio(story)
-
-    st.subheader("Story Time!")
-    st.audio(
-        audio_data["audio"],
-        format="audio/wav",
-        sample_rate=audio_data["sampling_rate"])
+    print(uploaded_file)
+    bytes_data = uploaded_file.getvalue()
+    with open(uploaded_file.name, "wb") as file:
+        file.write(bytes_data)
+    st.image(uploaded_file, caption="Uploaded Image", use_container_width=True)
+
+    st.text('Processing img2text...')
+    scenario = img2text(uploaded_file.name)
+    st.write(scenario)
+
+    st.text('Generating a story...')
+    story = text2story(scenario)
+    st.write(story)
+
+    st.text('Generating audio data...')
+    audio_data =text2audio(story)
+
+    if st.button("Story Time!"):
+        st.audio(audio_data['audio'],
+                    format="audio/wav",
+                    start_time=0,
+                    sample_rate = audio_data['sampling_rate'])
+        st.audio(audio_data)