photo-multi

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Brian Watson commited on May 20, 2023

Commit

acfd51b

•

1 Parent(s): ba3d642

Update app.py

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Files changed (1) hide show

app.py +85 -195

app.py CHANGED Viewed

@@ -1,7 +1,10 @@
 import gradio as gr
 models = [
-    {"name": "Claudfuen 1", "url": "claudfuen/photorealistic-fuen-v1"},
     {"name": "Deliberate", "url": "Masagin/Deliberate"},
     {"name": "Seek Art Mega", "url": "coreco/seek.art_MEGA"},
     {"name": "Realistic Vision 1.4", "url": "SG161222/Realistic_Vision_V1.4"},
@@ -34,198 +37,85 @@ def send_it(inputs, model_choice):
     return proc(inputs)
-css = """
-<style>
-    .searchable-dropdown {
-        position: relative;
-    }
-    .searchable-dropdown input {
-        width: 100%;
-        padding: 0.5rem;
-        border-radius: 5px;
-        border: 1px solid #ccc;
-    }
-    .searchable-dropdown select {
-        width: 100%;
-        padding: 0.5rem;
-        border-radius: 5px;
-        border: 1px solid #ccc;
-        position: absolute;
-        top: 0;
-        left: 0;
-        opacity: 0;
-        pointer-events: none;
-    }
-</style>
 """
-def make_dropdown_searchable(dropdown_id):
-    script = f"""
-    <script>
-        function makeDropdownSearchable(dropdownId) {{
-            const input = document.getElementById(dropdownId);
-            input.addEventListener("input", function() {{
-                const value = this.value.toLowerCase();
-                const options = Array.from(document.querySelectorAll(`#${dropdownId} option`));
-                let found = false;
-                for (let i = 0; i < options.length; i++) {{
-                    const option = options[i];
-                    const text = option.text.toLowerCase();
-                    const match = text.includes(value);
-                    option.style.display = match ? "block" : "none";
-                    if (match) {{
-                        found = true;
-                    }}
-                }}
-                if (value && !found) {{
-                    const firstOption = options[0];
-                    if (firstOption) {{
-                        firstOption.selected = true;
-                    }}
-                }}
-            }});
-        }}
-        makeDropdownSearchable("{dropdown_id}");
-    </script>
-    """
-    return gr.outputs.HTML(script)
-with gr.Interface(
-    fn=text_it,
-    inputs="text",
-    outputs="text",
-    css=css,
-    capture_session=True
-) as iface:
-    model_dropdown = gr.inputs.Dropdown(
-        label="Choose Model",
-        choices=[m["name"] for m in models],
-        type="index",
-        value=current_model["name"],
-        interactive=True,
-        component_id="model_dropdown"
-I apologize for the incomplete code. It seems that there was an error in the last part. Here's the corrected code:
-```python
-import gradio as gr
-models = [
-    {"name": "Claudfuen 1", "url": "claudfuen/photorealistic-fuen-v1"},
-    {"name": "Deliberate", "url": "Masagin/Deliberate"},
-    {"name": "Seek Art Mega", "url": "coreco/seek.art_MEGA"},
-    {"name": "Realistic Vision 1.4", "url": "SG161222/Realistic_Vision_V1.4"},
-    {"name": "Dreamshaper", "url": "Lykon/DreamShaper"},
-]
-current_model = models[0]
-text_gen = gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link")
-models2 = []
-for model in models:
-    model_url = f"models/{model['url']}"
-    loaded_model = gr.Interface.load(model_url, live=True, preprocess=True)
-    models2.append(loaded_model)
-def text_it(inputs, text_gen=text_gen):
-    return text_gen(inputs)
-def set_model(current_model_index):
-    global current_model
-    current_model = models[current_model_index]
-    return gr.outputs.Label(f"Current Model: {current_model['name']}")
-def send_it(inputs, model_choice):
-    proc = models2[model_choice]
-    return proc(inputs)
-css = """
-<style>
-    .searchable-dropdown {
-        position: relative;
-    }
-    .searchable-dropdown input {
-        width: 100%;
-        padding: 0.5rem;
-        border-radius: 5px;
-        border: 1px solid #ccc;
-    }
-    .searchable-dropdown select {
-        width: 100%;
-        padding: 0.5rem;
-        border-radius: 5px;
-        border: 1px solid #ccc;
-        position: absolute;
-        top: 0;
-        left: 0;
-        opacity: 0;
-        pointer-events: none;
-    }
-</style>
-"""
-def make_dropdown_searchable(dropdown_id):
-    script = f"""
-    <script>
-        function makeDropdownSearchable(dropdownId) {{
-            const input = document.getElementById(dropdownId);
-            input.addEventListener("input", function() {{
-                const value = this.value.toLowerCase();
-                const options = Array.from(document.querySelectorAll(`#${dropdownId} option`));
-                let found = false;
-                for (let i = 0; i < options.length; i++) {{
-                    const option = options[i];
-                    const text = option.text.toLowerCase();
-                    const match = text.includes(value);
-                    option.style.display = match ? "block" : "none";
-                    if (match) {{
-                        found = true;
-                    }}
-                }}
-                if (value && !found) {{
-                    const firstOption = options[0];
-                    if (firstOption) {{
-                        firstOption.selected = true;
-                    }}
-                }}
-            }});
-        }}
-        makeDropdownSearchable("{dropdown_id}");
-    </script>
-    """
-    return gr.outputs.HTML(script)
-iface = gr.Interface(
-    fn=text_it,
-    inputs="text",
-    outputs="text",
-    css=css,
-    capture_session=True
-)
-model_dropdown = gr.inputs.Dropdown(
-    label="Choose Model",
-    choices=[m["name"] for m in models],
-    type="index",
-    value=current_model["name"],
-    interactive=True,
-    description="Select the model to use for text generation"
-)
-iface.add_input(model_dropdown, set_model)
-iface.add_input("text", send_it, "output")
-iface.launch()

 import gradio as gr
+import os
+import sys
+from pathlib import Path
 models = [
+    {"name": "Claudfuen 1", "url": "sd-concepts-library/ahx-model-6"},
     {"name": "Deliberate", "url": "Masagin/Deliberate"},
     {"name": "Seek Art Mega", "url": "coreco/seek.art_MEGA"},
     {"name": "Realistic Vision 1.4", "url": "SG161222/Realistic_Vision_V1.4"},
     return proc(inputs)
+css = """"""
+with gr.Blocks(css=css) as myface:
+    gr.HTML(
+        """<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="twitter:card" content="player"/>
+    <meta name="twitter:site" content=""/>
+    <meta name="twitter:player" content="https://omnibus-maximum-multiplier-places.hf.space"/>
+    <meta name="twitter:player:stream" content="https://omnibus-maximum-multiplier-places.hf.space"/>
+    <meta name="twitter:player:width" content="100%"/>
+    <meta name="twitter:player:height" content="600"/>
+    <meta property="og:title" content="Embedded Live Viewer"/>
+    <meta property="og:description" content="Tweet Genie - A Huggingface Space"/>
+    <meta property="og:image" content="https://cdn.glitch.global/80dbe92e-ce75-44af-84d5-74a2e21e9e55/omnicard.png?v=1676772531627"/>
+    <!--<meta http-equiv="refresh" content="0; url=https://huggingface.co/spaces/corbt/tweet-genie">-->
+  </head>
+</html>
 """
+    )
+    with gr.Row():
+        with gr.Row():
+            input_text = gr.Textbox(label="Prompt idea", lines=1)
+            # Model selection dropdown
+            model_name1 = gr.Dropdown(
+                label="Choose Model",
+                choices=[m["name"] for m in models],
+                type="index",
+                value=current_model["name"],
+                interactive=True,
+            )
+        with gr.Row():
+            see_prompts = gr.Button("Generate Prompts")
+            run = gr.Button("Generate Images", variant="primary")
+    with gr.Tab("Main"):
+        with gr.Row():
+            output1 = gr.Image(label=f"{current_model['name']}")
+            output2 = gr.Image(label=f"{current_model['name']}")
+            output3 = gr.Image(label=f"{current_model['name']}")
+            output4 = gr.Image(label=f"{current_model['name']}")
+        with gr.Row():
+            magic1 = gr.Textbox(lines=4)
+            magic2 = gr.Textbox(lines=4)
+            magic3 = gr.Textbox(lines=4)
+            magic4 = gr.Textbox(lines=4)
+        with gr.Row():
+            output5 = gr.Image(label=f"{current_model['name']}")
+            output6 = gr.Image(label=f"{current_model['name']}")
+            output7 = gr.Image(label=f"{current_model['name']}")
+            output8 = gr.Image(label=f"{current_model['name']}")
+        with gr.Row():
+            magic5 = gr.Textbox(lines=4)
+            magic6 = gr.Textbox(lines=4)
+            magic7 = gr.Textbox(lines=4)
+            magic8 = gr.Textbox(lines=4)
+    model_name1.change(set_model, inputs=model_name1, outputs=[output1, output2, output3, output4, output5, output6, output7, output8])
+    run.click(send_it, inputs=[magic1, model_name1], outputs=[output1])
+    run.click(send_it, inputs=[magic2, model_name1], outputs=[output2])
+    run.click(send_it, inputs=[magic3, model_name1], outputs=[output3])
+    run.click(send_it, inputs=[magic4, model_name1], outputs=[output4])
+    run.click(send_it, inputs=[magic5, model_name1], outputs=[output5])
+    run.click(send_it, inputs=[magic6, model_name1], outputs=[output6])
+    run.click(send_it, inputs=[magic7, model_name1], outputs=[output7])
+    run.click(send_it, inputs=[magic8, model_name1], outputs=[output8])
+    see_prompts.click(text_it, inputs=[input_text], outputs=[magic1])
+    see_prompts.click(text_it, inputs=[input_text], outputs=[magic2])
+    see_prompts.click(text_it, inputs=[input_text], outputs=[magic3])
+    see_prompts.click(text_it, inputs=[input_text], outputs=[magic4])
+    see_prompts.click(text_it, inputs=[input_text], outputs=[magic5])
+    see_prompts.click(text_it, inputs=[input_text], outputs=[magic6])
+    see_prompts.click(text_it, inputs=[input_text], outputs=[magic7])
+    see_prompts.click(text_it, inputs=[input_text], outputs=[magic8])
+myface.queue(concurrency_count=200)
+myface.launch(inline=True, show_api=False, max_threads=400)