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Convert-text-to-image/README.md

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----
-title: Convert Text To Image
-emoji: 📚
-colorFrom: green
-colorTo: purple
-sdk: gradio
-sdk_version: 3.50.2
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Convert-text-to-image/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)

Convert-text-to-image/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