Update app.py

app.py

@@ -1,37 +1,42 @@
 import gradio as gr
-from transformers import pipeline
+import requests
+from PIL import Image
+from io import BytesIO
+import base64
 
-# Titel, Beschreibung und Artikel für die Schnittstelle
-title = "Prompt Dich weiter mit Einfach.Prompt"
-description = """
-<p>
-<center>
+api_url = "https://5cb20b40-572c-426f-9466-995256f9b6eb.id.repl.co/generate_image"
 
-</center>
-</p>
-"""
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/1907.06616' target='_blank'>Recipes for building an open-domain chatbot</a></p><p style='text-align: center'><a href='https://parl.ai/projects/recipes/' target='_blank'>Original PARLAI Code</a></p>"
+def generate_image(model, prompt, seed, negative_prompt, sampler, steps):
+    data = "?model=" + model + "&prompt=" + prompt + "&seed=" + str(seed) + "&negative_prompt=" + negative_prompt + "&sampler=" + sampler + "&steps=" + str(steps)
+    response = requests.post(api_url + data, timeout=400)
+    if response.status_code == 200:
+        img_base64 = response.json()["url"]
+        img_bytes = base64.b64decode(img_base64)
+        img = Image.open(BytesIO(img_bytes))
+        return img
+    else:
+        return None
 
-# Text-to-text generation pipeline
-generator = pipeline("text2text-generation", model="merve/chatgpt-prompts-bart-long")
+dropdown_model = gr.inputs.Dropdown(['Seek.art MEGA', 'Deliberate', 'Dreamlike Photoreal', 'Realistic Vision'], label="Model", default="Seek.art MEGA")
+textbox_prompt = gr.inputs.Textbox(label="Prompt")
+number_seed = gr.inputs.Number(label="Seed", default=0)
+textbox_negative_prompt = gr.inputs.Textbox(label="Negative Prompt", default="")
+dropdown_sampler = gr.inputs.Dropdown(["k_lms", "k_heun", "k_euler", "k_euler_a", "k_dpm_2", "k_dpm_2_a", "DDIM", "k_dpm_fast", "k_dpm_adaptive", "k_dpmpp_2m", "k_dpmpp_2s_a", "k_dpmpp_sde"], label="Sampler", default="k_dpmpp_2s_a")
+number_steps = gr.inputs.Number(label="Steps", default=50)
 
-# Funktion, die die Textgenerierung durchführt
-def generate_prompt(prompt):
-    output = generator(prompt, max_length=250)
-    return output[0]['generated_text']
+inputs = [dropdown_model, textbox_prompt, number_seed, textbox_negative_prompt, dropdown_sampler, number_steps]
+
+outputs = gr.outputs.Image(label="Generated Image", type="pil")
 
-# Erstellung der Gradio-Schnittstelle
 interface = gr.Interface(
-    fn=generate_prompt,
-    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter your prompt here..."),
-    outputs="text",
-    title=title,
-    description=description,
-    article=article,
-    layout="vertical",  # Setzt die Anordnung der Elemente auf vertikal
-    theme='ParityError/Interstellar'
+    fn=generate_image, 
+    inputs=inputs, 
+    outputs=outputs, 
+    title="Image Generator",
+    description="Select options and enter a prompt to generate an image.",
+    examples=[],
+    layout="vertical",
+    theme="ParityError/Interstellar"  # Ihr spezifiziertes Theme
 )
 
-# Starten der Schnittstelle
 interface.launch()
-