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Update app.py
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app.py
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@@ -4,7 +4,6 @@ from gradio_client import Client
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from PIL import Image
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import requests
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from io import BytesIO
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import streamlit as st
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# Initialize the HuggingFace Inference Client with the specified model
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client_mistral = InferenceClient("mistralai/Mistral-7B-Instruct-v0.2")
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@@ -41,16 +40,16 @@ def generate_improved_prompt(logo_request, temperature=0.9, max_new_tokens=512,
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output += response.token.text
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yield output
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def generate_image(prompt
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result = client_playground.predict(
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prompt,
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api_name="/run"
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)
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@@ -75,7 +74,12 @@ css = """
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}
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"""
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with gr.Row():
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with gr.Column(scale=2):
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gr.HTML("<h1>Settings</h1>")
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@@ -83,17 +87,17 @@ with gr.Blocks(css=css) as gpt:
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with gr.Column(scale=3):
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gr.HTML("<h1><center>Logo Prompt Generator<h1><center>")
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generate_button = gr.Button("Generate")
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generate_button.click(
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fn=
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inputs=[logo_input],
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outputs=
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)
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gr.Markdown("""
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---
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### Meta Information
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**Project Title**:
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**Github**: [https://github.com/pacnimo/gpt-prompt-generator](https://github.com/pacnimo/)
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@@ -102,24 +106,4 @@ with gr.Blocks(css=css) as gpt:
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**Footer**: © 2024 by [pacnimo](https://github.com/pacnimo/). All rights reserved.
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""") # Meta, project description, and footer added here
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st.title("Image Generation using API")
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# Streamlit app input fields
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prompt = st.text_input("Enter prompt:", "")
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negative_prompt = st.text_input("Enter negative prompt:", "")
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use_negative_prompt = st.checkbox("Use negative prompt", False)
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seed = st.number_input("Seed (0-2147483647):", value=0, min_value=0, max_value=2147483647)
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width = st.slider("Width:", 1024, 1536)
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height = st.slider("Height:", 1024, 1536)
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guidance_scale = st.slider("Guidance Scale:", 3.0, 20.0, 0.1)
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randomize_seed = st.checkbox("Randomize seed", True)
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if st.button("Generate Image"):
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with st.spinner("Generating image..."):
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img = generate_image(prompt, negative_prompt, use_negative_prompt, seed, width, height, guidance_scale, randomize_seed)
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if img:
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st.image(img, caption="Generated Image")
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else:
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st.error("The content retrieved is not an image.")
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from PIL import Image
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import requests
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from io import BytesIO
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# Initialize the HuggingFace Inference Client with the specified model
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client_mistral = InferenceClient("mistralai/Mistral-7B-Instruct-v0.2")
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output += response.token.text
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yield output
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def generate_image(prompt):
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result = client_playground.predict(
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prompt,
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"", # negative prompt
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False, # use negative prompt
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0, # seed
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1024, # width
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1024, # height
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7.5, # guidance scale
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True, # randomize seed
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api_name="/run"
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)
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}
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"""
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def process_request(logo_request):
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improved_prompt = next(generate_improved_prompt(logo_request))
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image = generate_image(improved_prompt)
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return image
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with gr.Blocks(css=css) as app:
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with gr.Row():
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with gr.Column(scale=2):
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gr.HTML("<h1>Settings</h1>")
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with gr.Column(scale=3):
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gr.HTML("<h1><center>Logo Prompt Generator<h1><center>")
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generate_button = gr.Button("Generate")
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output_image = gr.Image(label="Generated Image")
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generate_button.click(
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fn=process_request,
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inputs=[logo_input],
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outputs=output_image
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)
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gr.Markdown("""
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---
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### Meta Information
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**Project Title**: Logo Prompt Generator
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**Github**: [https://github.com/pacnimo/gpt-prompt-generator](https://github.com/pacnimo/)
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**Footer**: © 2024 by [pacnimo](https://github.com/pacnimo/). All rights reserved.
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""") # Meta, project description, and footer added here
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app.launch(debug=True)
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