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app.py

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+import streamlit as st
+import requests
+import cloudinary
+import cloudinary.uploader
+from PIL import Image
+import io
+from google_auth_oauthlib.flow import InstalledAppFlow
+from googleapiclient.discovery import build
+import os
+
+# Configure Cloudinary with your credentials
+cloudinary.config(
+    cloud_name="dvuowbmrz",
+    api_key="177664162661619",
+    api_secret="qVMYel17N_C5QUUUuBIuatB5tq0"
+)
+#
+# # Set up OAuth2 client details
+# CLIENT_SECRET_FILE = 'client_secret.json'
+# SCOPES = ['https://www.googleapis.com/auth/drive.metadata.readonly']  # Adjust scopes as needed
+#
+# # Set up Streamlit app
+# #st.title("Google Authentication Demo")
+#
+# # Check if the user is authenticated
+# if 'credentials' not in st.session_state:
+#     #st.write("WELCOME")
+#     flow = InstalledAppFlow.from_client_secrets_file(CLIENT_SECRET_FILE, SCOPES)
+#     credentials = flow.run_local_server(port=8501, authorization_prompt_message='')
+#
+#     # Save credentials to a file for future use (optional)
+#     with open('token.json', 'w') as token_file:
+#         token_file.write(credentials.to_json())
+#
+#     st.session_state.credentials = credentials
+#     st.success("Authentication successful. You can now use the app.")
+#
+# # Use authenticated credentials to interact with Google API
+# credentials = st.session_state.credentials
+# service = build('drive', 'v3', credentials=credentials)
+#
+# # Fetch user's name from Google API
+# try:
+#     user_info = service.about().get(fields="user").execute()
+#     user_name = user_info["user"]["displayName"]
+#     #st.header("Google Profile Information")
+#     st.markdown(f"<p style='font-size: 24px;'><strong>Userame: {user_name.upper()}</strong></p>", unsafe_allow_html=True)
+# except Exception as e:
+#     st.error(f"Error fetching user profile: {str(e)}")
+#
+# # Your app's functionality goes here
+# # # Display Google Drive contents
+# # st.header("Google Drive Contents")
+# # results = service.files().list(pageSize=10).execute()
+# # files = results.get('files', [])
+# # if not files:
+# #     st.write('No files found in Google Drive.')
+# # else:
+# #     st.write('Files in Google Drive:')
+# #     for file in files:
+# #         st.write(f"- {file['name']} ({file['mimeType']})")
+#
+# # Logout button
+# if st.button("Logout"):
+#     del st.session_state.credentials
+#     os.remove("token_dir/token.json")  # Remove the token file
+#
+
+
+# Set up Hugging Face API endpoint
+API_URL = "https://api-inference.huggingface.co/models/CompVis/stable-diffusion-v1-4"
+headers = {"Authorization": "Bearer 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"}
+
+
+def query_model_with_image(image_description):
+    payload = {
+        "inputs": image_description
+    }
+    response = requests.post(API_URL, headers=headers, json=payload)
+    image_bytes = response.content
+
+    image = Image.open(io.BytesIO(image_bytes))
+    return image
+
+def upload_to_cloudinary(image, prompt_text):
+    image_data = io.BytesIO()
+    image.save(image_data, format="JPEG")
+    image_data.seek(0)
+
+    upload_result = cloudinary.uploader.upload(
+        image_data,
+        folder="compvis_app",
+        public_id=prompt_text
+    )
+    return upload_result["secure_url"]
+
+
+def fetch_latest_images_from_cloudinary(num_images=9):
+    # Use the Cloudinary Admin API to list resources
+    url = f"https://api.cloudinary.com/v1_1/{cloudinary.config().cloud_name}/resources/image"
+    params = {
+        "max_results": num_images,
+        "type": "upload"
+    }
+    response = requests.get(url, params=params, auth=(cloudinary.config().api_key, cloudinary.config().api_secret))
+
+    if response.status_code == 200:
+        images = response.json()["resources"]
+    else:
+        images = []
+
+    return images
+
+# Streamlit app
+st.markdown("""<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">""", unsafe_allow_html=True)
+
+st.title("Text to Image Generator")
+
+image_description = st.text_input("Enter the image description")
+
+if st.button("Generate Image"):
+    processed_image = query_model_with_image(image_description)
+    st.image(processed_image, use_column_width=True, output_format="JPEG")  # Use use_column_width=True
+    st.session_state.processed_image = processed_image
+    st.session_state.image_description = image_description
+    st.write("Image generated.")
+
+if st.button("Upload"):
+    if 'processed_image' in st.session_state:
+        uploaded_url = upload_to_cloudinary(st.session_state.processed_image, st.session_state.image_description)
+        st.write("Image uploaded to Cloudinary. Prompt Text:", st.session_state.image_description)
+        st.write("Image URL on Cloudinary:", uploaded_url)
+    else:
+        st.write("Generate an image first before uploading.")
+
+# Fetch and display the latest images from Cloudinary
+st.header("Latest Images created")
+
+# Use the 'fetch_latest_images_from_cloudinary' function to get the latest images
+latest_images = fetch_latest_images_from_cloudinary()
+
+# Define the number of columns in the grid
+num_columns = 3  # You can adjust this number as needed
+
+# Calculate the width for each column
+column_width = f"calc(33.33% - {10}px)"  # Adjust the width and margin as needed
+
+# Add CSS styling for the grid and rounded images
+st.markdown(
+    f"""
+    <style>
+    .responsive-grid {{
+        display: flex;
+        flex-wrap: wrap;
+        justify-content: space-between;
+    }}
+    .responsive-grid-item {{
+        width: {column_width};
+        margin: 10px;
+        box-sizing: border-box;
+        text-align: center;
+        position: relative;
+    }}
+    .image-caption {{
+        font-weight: bold;
+    }}
+    .rounded-image {{
+        border-radius: 15px;  # Adjust the radius as needed for more or less roundness
+        overflow: hidden;
+    }}
+    .download-button {{
+        background-color: black;  # Set button color to black
+        color: white;
+        padding: 5px 10px;
+        border-radius: 5px;
+        text-decoration: none;
+        display: inline-block;
+        position: absolute;
+        top: 10px;  # Adjust top value for vertical positioning
+        right: 10px;  # Adjust right value for horizontal positioning
+    }}
+    </style>
+    """,
+    unsafe_allow_html=True,
+)
+
+# Create the responsive grid layout
+st.markdown('<div class="responsive-grid">', unsafe_allow_html=True)
+
+for i, image in enumerate(latest_images):
+    image_url = image.get('secure_url', '')  # Get the image URL
+    public_id = image.get('public_id', '')  # Get the full public_id
+
+    # Extract just the filename (without the folder)
+    filename = public_id.split('/')[-1]
+
+    # Add some spacing around the image and its name
+    st.markdown(f'<div class="responsive-grid-item">', unsafe_allow_html=True)
+    st.markdown(f'<p class="image-caption">{filename}</p>', unsafe_allow_html=True)
+
+    # Add rounded corners to the image using HTML
+    st.markdown(f'<img src="{image_url}" class="rounded-image" width="{int(1.25 * 300)}">', unsafe_allow_html=True)
+
+    # Add an arrow icon instead of "Download" button with black color
+    download_link = f'<a href="{image_url}" class="download-button" download="{filename}">&#8595;</a>'
+    st.markdown(download_link, unsafe_allow_html=True)
+
+    st.write("")  # Add empty spaces for separation
+    st.markdown('</div>', unsafe_allow_html=True)
+
+# Close the responsive grid layout
+st.markdown('</div>', unsafe_allow_html=True)

requirements.txt

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+streamlit
+ipython
+requests
+cloudinary
+pillow
+pytz
+google-auth-oauthlib
+google-auth-httplib2
+google-api-python-client
+git+https://github.com/openai/glide-text2im