Update app.py

app.py

@@ -1,79 +1,38 @@
-
-# import streamlit as st
-# import time
-
-# def main():
-#     # Title
-#     st.title("Streamlit Functions Demo")
-
-#     # Write
-#     st.write("This demo showcases various Streamlit functions.")
-
-#     # File Uploader
-#     uploaded_file = st.file_uploader("Choose an image file")
-#     if uploaded_file is not None:
-#         # Display the uploaded image
-#         st.image(uploaded_file, caption="Uploaded Image", use_column_width=True)
-
-#     # Spinner
-#     if st.button("Process Image"):
-#         with st.spinner('Processing...'):
-#             time.sleep(2)  # Simulate a long computation
-#         st.success('Processing complete!')
-
-#     # Audio
-#     st.write("Here is an audio sample:")
-#     audio_file = open('path/to/your/audio.mp3', 'rb')
-#     st.audio(audio_file.read(), format='audio/mp3')
-
-#     # Button
-#     if st.button('Click me'):
-#         st.write('Button clicked!')
-
-# if __name__ == "__main__":
-#     main()
-
+# Import Part
 import streamlit as st
+import time
+from PIL import Imgage
 from transformers import pipeline
 
-# Function to generate image caption
+# Function Part
 def generate_image_caption(image_path):
-    img2caption = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large")
-    result = img2caption(image_path)
-    return result[0]['generated_text']
+  img2caption = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large")
+  result = img2caption(image_path)
+  return result[0]['generated_text']
 
-# Function to generate story from text
 def text2story(text):
-    text2story = pipeline("text-generation", model="pranavpsv/genre-story-generator-v2")
-    generated_story = text2story(text)
-    return generated_story[0]['generated_text']
+  text2story = pipeline("text-generation", model="pranavpsv/genre-story-generator-v2")
+  generated_story = text2story(text)
+  return generated_story[0]['generated_text']
+
+# Main Part
+
+# App title
+st.title("Assignment")
 
-# Main function for the Streamlit app
-def main():
-    st.title("Image to Story Generator")
+# Write some text
+st.write("Welcome to a demo app showcasting basic streamlit component")
 
-    # File uploader for image
-    uploaded_file = st.file_uploader("Choose an image file", type=["jpg", "jpeg", "png"])
-    
-    if uploaded_file is not None:
-        # Display the uploaded image
-        st.image(uploaded_file, caption="Uploaded Image", use_column_width=True)
-        
-        # Generate caption button
-        if st.button("Generate Caption"):
-            with st.spinner('Generating caption...'):
-                caption = generate_image_caption(uploaded_file)
-                st.write("Generated Caption:", caption)
-                
-                # Generate story button
-                if st.button("Generate Story"):
-                    with st.spinner('Generating story...'):
-                        generated_story = text2story(caption)
-                        st.write("Generated Story:", generated_story)
+# file upload
+uploaded_image = st.file_uploader("Upload an image", type=['jpg','jpeg','png'])
+# uploaded_model = st.file_uploader("Upload an audio file", type = ['mp3','mov','egg'])
 
-    # Audio generation placeholder (to be implemented)
-    st.write("Audio generation feature coming soon...")
+if uploaded_image is not None:
+    with st.spinner("Leading image..."):
+        time.sleep(1) # Simulate a delay
+        image = image.open(uploaded_image)
+        caption = generate_image_caption(image)
+        st.image(image, caption='Uploaded Image', use_column_width=True)
 
-if __name__ == "__main__":
-    main()
+#Play audio with apinner: