Delete cwapp.py

cwapp.py

@@ -1,84 +0,0 @@
-import streamlit as st
-from PIL import Image
-import time
-from transformers import pipeline
-import tempfile
-import os
-
-# Function to generate image caption
-def generate_image_caption(image_path):
-    """Generates a caption for the given image using a pre-trained model."""
-    img2caption = pipeline("image-to-text", model="Salesforce/blip-image-captioning-base")
-    result = img2caption(image_path)
-    return result[0]['generated_text']
-
-# Function to generate story from text
-def text2story(text):
-    """Generates a story from input text"""
-    pipe = pipeline("text-generation", model="pranavpsv/genre-story-generator-v2")
-    story_text = pipe(text, max_length=200)[0]['generated_text']
-    return story_text
-
-# Function to convert text to speech
-def text_to_speech(text):
-    """Converts text to speech audio"""
-    try:
-        # Initialize text-to-audio pipeline
-        tts_pipe = pipeline("text-to-audio", model="facebook/mms-tts-eng")
-        
-        # Generate audio (returns dict with 'audio' array and 'sampling_rate')
-        audio_output = tts_pipe(text[:1000])  # Limit text length
-        
-        # Return the audio array and sampling rate
-        return audio_output['audio'], audio_output['sampling_rate']
-    except Exception as e:
-        st.error(f"Speech generation failed: {str(e)}")
-        return None, None
-
-# Main application
-def main():
-    st.title("Image to Story with Speech")
-    st.write("Upload an image to generate a caption, story, and audio narration")
-
-    uploaded_image = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
-
-    if uploaded_image is not None:
-        try:
-            # Process image
-            with st.spinner("Processing image..."):
-                image = Image.open(uploaded_image)
-                st.image(image, caption="Uploaded Image", use_column_width=True)
-                
-                # Save temporary file
-                with tempfile.NamedTemporaryFile(suffix=".jpg", delete=False) as temp_file:
-                    image.save(temp_file.name)
-                    image_path = temp_file.name
-
-            # Generate caption
-            with st.spinner("Generating caption..."):
-                caption = generate_image_caption(image_path)
-                st.subheader("Generated Caption")
-                st.write(caption)
-
-            # Generate story
-            with st.spinner("Generating story..."):
-                story = text2story(caption)
-                st.subheader("Generated Story")
-                st.write(story)
-
-            # Generate speech
-            with st.spinner("Generating audio..."):
-                audio_array, sample_rate = text_to_speech(story)
-                if audio_array is not None:
-                    st.subheader("Audio Narration")
-                    st.audio(audio_array, sample_rate=sample_rate)
-
-        except Exception as e:
-            st.error(f"An error occurred: {str(e)}")
-        finally:
-            # Clean up temporary file
-            if 'image_path' in locals() and os.path.exists(image_path):
-                os.remove(image_path)
-
-if __name__ == "__main__":
-    main()