Chatbot for Image Generation

app.py

@@ -1,64 +1,19 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
-
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-#client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+import os, shutil, time
 from gradio_client import Client
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    client = Client("ByteDance/Hyper-SDXL-1Step-T2I")
-    result = client.predict(
-		num_images=4,
-		height=1024,
-		width=1024,
-		prompt="a photo of a cat",
-		seed=3413,
-		api_name="/process_image"
-    )
-    yield(result) 
- 
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
-
-
-if __name__ == "__main__":
-    demo.launch()
+client = Client("ByteDance/Hyper-SDXL-1Step-T2I")
+def multimodalResponse(message,history):
+  length=str(len(history))
+  print(message)
+  result = client.predict(
+      num_images=1,
+      height=1024,
+      width=1024,
+      prompt=message,
+      seed=3413,
+      api_name="/process_image")
+  shutil.copy(result[0]['image'],os.getcwd())
+  os.rename('image.webp', 'image'+length+'.webp')
+  return "Prompt '"+message+"': ![image](/file="+os.getcwd()+"/image"+length+".webp)"
+i=gr.ChatInterface(multimodalResponse,multimodal=False)
+i.launch(allowed_paths=["."])