Init

fastchat/serve/gradio_block_arena_txt2img.py

@@ -0,0 +1,87 @@
+import os
+import gradio as gr
+import requests
+import base64
+import io
+from PIL import Image
+
+FIREWORKS_API_KEY = os.getenv("FIREWORKS_API_KEY")
+API_BASE = "https://api.fireworks.ai/inference/v1/workflows/accounts/fireworks/models/{}/text_to_image"
+DUMMY_MODELS = ["stable-diffusion-3p5-medium", 
+                "stable-diffusion-3p5-large",
+                "stable-diffusion-3p5-large-turbo",
+                "flux-1-dev-fp8",
+                "flux-1-schnell-fp8",
+                ]
+
+def generate_image(prompt, model):
+    """Generate image from text prompt using Fireworks API"""
+    headers = {
+        "Authorization": f"Bearer {FIREWORKS_API_KEY}",
+        "Content-Type": "application/json", 
+        "Accept": "image/jpeg",
+    }
+
+    data = {
+        "prompt": prompt,
+        "aspect_ratio": "16:9",
+        "guidance_scale": 4.5,
+        "num_inference_steps": 3,
+    }
+
+    api_url = API_BASE.format(model=model)
+
+    try:
+        response = requests.post(api_url, headers=headers, json=data)
+        if response.status_code != 200:
+            raise Exception(f"Failed to generate image: {response.status_code} {response.text}")
+
+        image_bytes = response.content
+        image = Image.open(io.BytesIO(image_bytes))
+
+        return image
+
+    except requests.exceptions.RequestException as e:
+        return f"Error generating image: {str(e)}"
+
+# Create Gradio interface
+with gr.Blocks(title="Text to Image Generator") as demo:
+    gr.Markdown("# Text to Image Generator")
+    gr.Markdown("Enter a text prompt to generate an image")
+
+    with gr.Column():        
+        with gr.Group():
+            model_selector = gr.Dropdown(
+                choices=DUMMY_MODELS,
+                interactive=True,
+                show_label=False,
+                container=False,
+            )
+            image_output = gr.Image(
+                label="Generated Image",
+                type="pil"
+            )
+
+        with gr.Row():
+            text_input = gr.Textbox(
+                label="Prompt",
+                placeholder="Enter your prompt here...",
+                show_label=False
+            )
+            send_btn = gr.Button("Generate", variant="primary")
+
+    # Handle generation
+    send_btn.click(
+        fn=generate_image,
+        inputs=[text_input, model_selector],
+        outputs=image_output
+    )
+
+    text_input.submit(
+        fn=generate_image,
+        inputs=[text_input, model_selector],
+        outputs=image_output
+    )
+
+if __name__ == "__main__":
+    demo.launch(share=True)