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app.py

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+import os
+import streamlit as st
+import requests
+from PIL import Image, ImageDraw, ImageFont
+import io
+import base64
+import easyocr
+import numpy as np
+import cv2
+
+# Set up logging
+import logging
+logging.basicConfig(level=logging.DEBUG)
+logger = logging.getLogger(__name__)
+
+# Hugging Face API setup
+API_URL = "https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-schnell"
+
+headers = {"Authorization": f"Bearer {HF_TOKEN}"}
+
+# Initialize EasyOCR reader
+reader = easyocr.Reader(['en'])
+
+def query(payload):
+    try:
+        response = requests.post(API_URL, headers=headers, json=payload)
+        response.raise_for_status()
+        
+        logger.debug(f"API response status code: {response.status_code}")
+        logger.debug(f"API response headers: {response.headers}")
+        
+        content_type = response.headers.get('Content-Type', '')
+        if 'application/json' in content_type:
+            return response.json()
+        elif 'image' in content_type:
+            return response.content
+        else:
+            logger.error(f"Unexpected content type: {content_type}")
+            st.error(f"Unexpected content type: {content_type}")
+            return None
+    except requests.exceptions.RequestException as e:
+        logger.error(f"Request failed: {str(e)}")
+        st.error(f"Request failed: {str(e)}")
+        return None
+
+def increase_image_quality(image, scale_factor):
+    width, height = image.size
+    new_size = (width * scale_factor, height * scale_factor)
+    return image.resize(new_size, Image.LANCZOS)
+
+def extract_text_from_image(image):
+    img_array = np.array(image)
+    results = reader.readtext(img_array)
+    return ' '.join([result[1] for result in results])
+
+def remove_text_from_image(image, text_to_remove):
+    img_array = np.array(image)
+    results = reader.readtext(img_array)
+    
+    for (bbox, text, prob) in results:
+        if text_to_remove.lower() in text.lower():
+            top_left = tuple(map(int, bbox[0]))
+            bottom_right = tuple(map(int, bbox[2]))
+            
+            # Convert image to OpenCV format
+            img_cv = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)
+            
+            # Create a mask for inpainting
+            mask = np.zeros(img_cv.shape[:2], dtype=np.uint8)
+            cv2.rectangle(mask, top_left, bottom_right, (255, 255, 255), -1)
+            
+            # Perform inpainting
+            inpainted = cv2.inpaint(img_cv, mask, 3, cv2.INPAINT_TELEA)
+            
+            # Convert back to PIL Image
+            image = Image.fromarray(cv2.cvtColor(inpainted, cv2.COLOR_BGR2RGB))
+            
+            return image, top_left, (bottom_right[0] - top_left[0], bottom_right[1] - top_left[1])
+    
+    logger.warning(f"Text '{text_to_remove}' not found in the image.")
+    return image, None, None
+
+def add_text_to_image(image, text, font_size=40, font_color="#FFFFFF", position=None, size=None):
+    draw = ImageDraw.Draw(image)
+    try:
+        font = ImageFont.truetype("Roboto-Bold.ttf", font_size)
+    except IOError:
+        logger.warning("Roboto-Bold font not found, using default font")
+        font = ImageFont.load_default()
+
+    img_width, img_height = image.size
+    if position is None or size is None:
+        # Calculate the center position if no position is provided
+        bbox = font.getbbox(text)
+        text_width = bbox[2] - bbox[0]
+        text_height = bbox[3] - bbox[1]
+        position = ((img_width - text_width) // 2, (img_height - text_height) // 2)
+        size = (text_width, text_height)
+    
+    # Adjust font size to fit within the given size
+    while font.getbbox(text)[2] - font.getbbox(text)[0] > size[0] or font.getbbox(text)[3] - font.getbbox(text)[1] > size[1]:
+        font_size -= 1
+        font = ImageFont.truetype("Roboto-Bold.ttf", font_size)
+    
+    # Use the exact position of the removed text
+    logger.debug(f"Adding text at position: {position}")
+    draw.text(position, text, font=font, fill=font_color)
+    return image
+
+def main():
+    st.title("Poster Generator and Editor")
+
+    # Image Generation
+    st.header("Generate Poster")
+    poster_type = st.selectbox("Poster Type", ["Fashion", "Movie", "Event", "Advertisement", "Other"])
+    prompt = st.text_area("Prompt")
+    num_images = st.number_input("Number of Images", min_value=1, max_value=5, value=1)
+    quality_factor = st.number_input("Quality Factor", min_value=1, max_value=4, value=1)
+
+    if st.button("Generate Images"):
+        if poster_type == "Other":
+            full_prompt = f"A colorful poster with the following elements: {prompt}"
+        else:
+            full_prompt = f"A colorful {poster_type.lower()} poster with the following elements: {prompt}"
+
+        generated_images = []
+        for i in range(num_images):
+            with st.spinner(f"Generating image {i+1}..."):
+                logger.info(f"Generating image {i+1} with prompt: {full_prompt}")
+                response = query({"inputs": full_prompt})
+                
+                if isinstance(response, bytes):
+                    image = Image.open(io.BytesIO(response))
+                    if quality_factor > 1:
+                        image = increase_image_quality(image, quality_factor)
+                    generated_images.append(image)
+                else:
+                    st.error("Failed to generate image")
+
+        # Display generated images
+        for i, img in enumerate(generated_images):
+            st.image(img, caption=f"Generated Poster {i+1}", use_column_width=True)
+            
+            # Save image to session state for editing
+            img_byte_arr = io.BytesIO()
+            img.save(img_byte_arr, format='PNG')
+            img_byte_arr = img_byte_arr.getvalue()
+            st.session_state[f'image_{i}'] = img_byte_arr
+
+    # Image Editing
+    st.header("Edit Poster")
+    image_to_edit = st.selectbox("Select Image to Edit", [f"Generated Poster {i+1}" for i in range(len(st.session_state.keys()))])
+    
+    if image_to_edit:
+        image_index = int(image_to_edit.split()[-1]) - 1
+        img_bytes = st.session_state[f'image_{image_index}']
+        img = Image.open(io.BytesIO(img_bytes))
+        st.image(img, caption="Current Image", use_column_width=True)
+
+        text_to_remove = st.text_input("Text to Remove")
+        new_text = st.text_input("New Text")
+        font_size = st.number_input("Font Size", min_value=1, max_value=100, value=40)
+        font_color = st.color_picker("Font Color", "#FFFFFF")
+
+        if st.button("Apply Changes"):
+            position = None
+            size = None
+            if text_to_remove:
+                img, position, size = remove_text_from_image(img, text_to_remove)
+
+            if new_text:
+                img = add_text_to_image(img, new_text, font_size, font_color, position, size)
+
+            st.image(img, caption="Edited Image", use_column_width=True)
+            
+            # Save edited image for download
+            img_byte_arr = io.BytesIO()
+            img.save(img_byte_arr, format='PNG')
+            img_byte_arr = img_byte_arr.getvalue()
+            st.download_button(
+                label="Download Edited Image",
+                data=img_byte_arr,
+                file_name="edited_poster.png",
+                mime="image/png"
+            )
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+streamlit
+python-dotenv
+requests
+Pillow
+easyocr
+numpy
+protobuf
+altair