Update app.py

app.py

@@ -1,52 +1,5 @@
-from huggingface_hub import InferenceClient
 import gradio as gr
 
-client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")
-
-def format_prompt(message, history, system_prompt=None):
-    prompt = "<s>"
-    for user_prompt, bot_response in history:
-        prompt += f"[INST] {user_prompt} [/INST]"
-        prompt += f" {bot_response}</s> "
-    if system_prompt:
-        prompt += f"[SYS] {system_prompt} [/SYS]"
-    prompt += f"[INST] {message} [/INST]"
-    return prompt
-
-def generate(
-    prompt, history, system_prompt=None, temperature=0.2, max_new_tokens=1024, top_p=0.95, repetition_penalty=1.0,
-):
-    temperature = float(temperature)
-    if temperature < 1e-2:
-        temperature = 1e-2
-    top_p = float(top_p)
-
-    generate_kwargs = dict(
-        temperature=temperature,
-        max_new_tokens=max_new_tokens,
-        top_p=top_p,
-        repetition_penalty=repetition_penalty,
-        do_sample=True,
-        seed=42,
-    )
-
-    formatted_prompt = format_prompt(prompt, history, system_prompt)
-
-    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
-    output = ""
-
-    for response in stream:
-        output += response.token.text
-        yield output
-    return output
-
-demo = gr.ChatInterface(
-    fn=generate,
-    title="",
-    theme="xiaobaiyuan/theme_brief"
-)
-
-
 # Define the components using the specified URLs
 with gr.Blocks() as chatbot:
     gr.HTML("<iframe src='https://prithivmlmods-mistral-7b-instruct-v0-3.hf.space/' width='100%' height='1000px' style='border-radius: 8px;'></iframe>")
@@ -67,15 +20,13 @@ with gr.Blocks() as photofakes:
     gr.HTML("<iframe src='https://huggingface.co/spaces/prithivMLmods/Face-Swap-Roop' width='100%' height='1000px' style='border-radius: 8px;'></iframe>")
 
 # Assemble the components into a single Gradio interface
-with gr.Blocks(theme="xiaobaiyuan/theme_brief", title="GPT 4o") as demo:
-    gr.Markdown("# GPT 4o")
+with gr.Blocks(theme=gr.themes.Soft(), title="ChatGPT-Omni") as demo:
+    gr.Markdown("# ChatGPT-Omni")
     gr.TabbedInterface(
-            [chatbot, imagegpt, imageengine4k, imageengine2k, mediadownloader, photofakes], 
-            ['ChatBot', 'ImageGPT', 'Image Engine 4K', 'Image Engine 2K', 'Media Downloader', 'PhotoFakes']
-        )
-
-# Launch the demo
-
+        [chatbot, imagegpt, imageengine4k, imageengine2k, mediadownloader, photofakes], 
+        ['ChatBot', 'ImageGPT', 'Image Engine 4K', 'Image Engine 2K', 'Media Downloader', 'PhotoFakes']
+    )
 
+# Launch the demo with GPU enabled
+demo.queue(max_size=300, max_batch_size=10).launch(enable_queue=True, debug=True)
 
-demo.queue().launch(show_api=False)