Update app.py

app.py

@@ -1,15 +1,76 @@
 from transformers import pipeline
 import streamlit as st
 from PIL import Image
+from transformers import pipeline
+from IPython.display import Audio
+
+
+# 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"]
+    return text
+
+# text2story
+def text2story(text):
+    text_to_story_model = = pipeline("text-generation",model="distilbert/distilgpt2")
+    story_text =  = text_to_story_model(text,min_length=100,num_return_sequences=1)
+    return story_text
+
+# text2audio
+def text2audio(story_text):
+    text_to_audio_model = pipeline("text-to-speech", model="facebook/mms-tts-eng")
+    audio_data = text_to_audio_model(story_text)
+    #audio_data = Audio(speech_output['audio'], rate=speech_output['sampling_rate'])
+    return audio_data
+
+
+#main part
+st.set_page_config(page_title="Your Image to Audio Story",
+                   page_icon="🦜")
+st.header("Turn Your Image to Story")
+uploaded_file = st.file_uploader("Select an Image...")
+
+if uploaded_file is not None:
+    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_column_width=True)
+
+    #Stage 1: Image to Text
+    st.text('Processing img2text...')
+    scenario = img2text(uploaded_file.name)
+    st.write(scenario)
+
+    #Stage 2: Text to Story
+    st.text('Generating a story...')
+    story = text2story(scenario)
+    st.write(story)
+
+    Stage 3: Story to Audio data
+    st.text('Generating audio data...')
+    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'])
+        st.audio("kids_playing_audio.wav")
+
+
 
-pipe_caption = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
+#pipe_caption = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
 
-st.title("AI story telling for kids")  # Establish title
+#st.title("AI story telling for kids")  # Establish title
 
-uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "png", "jpeg"])
+#uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "png", "jpeg"])
 
-if uploaded_file is not None:  # Check if a file is uploaded
-    image = Image.open(uploaded_file)
-    st.image(image, caption="Uploaded Image", use_column_width=True)
-else:
-    st.warning("Please upload an image.")
+#if uploaded_file is not None:  # Check if a file is uploaded
+   # image = Image.open(uploaded_file)
+   # st.image(image, caption="Uploaded Image", use_column_width=True)
+#else:
+   # st.warning("Please upload an image.")