Use new chat-ui template

Dockerfile

@@ -0,0 +1 @@
+FROM ghcr.io/huggingface/chat-ui-db:sha-28351df

README.md

@@ -1,12 +1,12 @@
 ---
-title: C4AI Command R Plus
+title: C4AI Command Models
 emoji: 🌟
 colorFrom: purple
 colorTo: red
-sdk: gradio
-app_file: app.py
+sdk: docker
 pinned: false
 license: other
+app_port: 3000
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1,143 +0,0 @@
-import gradio as gr
-import cohere
-import os
-import re
-import uuid
-import secrets
-
-
-
-cohere_api_key = os.getenv("COHERE_API_KEY")
-co = cohere.Client(cohere_api_key, client_name="huggingface-rp")
-
-
-def trigger_example(example):
-    chat, updated_history = generate_response(example)
-    return chat, updated_history
-        
-def generate_response(user_message, cid, token, history=None):
-
-    if not token:
-        raise gr.Error("Error loading.")
-        
-    if history is None:
-        history = []
-    if cid == "" or None:    
-        cid = str(uuid.uuid4())
-
-    print(f"cid: {cid} prompt:{user_message}")
-    
-    history.append(user_message)
-    
-    stream = co.chat_stream(message=user_message, conversation_id=cid, model='command-r-plus', connectors=[], temperature=0.3)
-    
-    output = ""
-    
-    for idx, response in enumerate(stream):
-        if response.event_type == "text-generation":
-            output += response.text
-        if idx == 0:
-            history.append(" " + output)
-        else:
-            history[-1] = output
-        chat = [
-            (history[i].strip(), history[i + 1].strip())
-            for i in range(0, len(history) - 1, 2)
-        ] 
-        yield chat, history, cid
-        
-    return chat, history, cid
-    
-
-def clear_chat():
-    return [], [], str(uuid.uuid4())
-
-
-examples = [
-    "What are 8 good questions to get to know a stranger?",
-    "Create a list of 10 unusual excuses people might use to get out of a work meeting",
-    "Write a python code to reverse a string",
-    "Explain the relativity theory in French",
-    "Como sair de um helicóptero que caiu na água?",
-    "Formally introduce the transformer architecture with notation.",
-    "¿Cómo le explicarías el aprendizaje automático a un extraterrestre?",
-    "Summarize recent news about the North American tech job market",
-    "Explain gravity to a chicken.",
-    "Is the world discrete or analog?",
-    "What is the memory cost in a typical implementation of an all-gather operation?",
-    "Give me a brief history of the golden era of Cantopop.",
-    "Descrivi il processo di creazione di un capolavoro, come se fossi un artista del Rinascimento a Firenze.",
-    "Explique-moi le sens de la vie selon un grand auteur littéraire.",
-    "Give me an example of an endangered species and let me know what I can do to help preserve it"
-]
-
-custom_css = """
-#logo-img {
-    border: none !important;
-}
-#chat-message {
-    font-size: 14px;
-    min-height: 300px;
-}
-"""
-
-with gr.Blocks(analytics_enabled=False, css=custom_css) as demo:
-    cid = gr.State("")
-    token = gr.State(value=None)
-    
-    with gr.Row():
-        with gr.Column(scale=1):
-            gr.Image("logoplus.png", elem_id="logo-img", show_label=False, show_share_button=False, show_download_button=False)
-        with gr.Column(scale=3):
-            gr.Markdown("""C4AI Command R+ is a research open weights release of a 104B billion parameter with highly advanced Retrieval Augmented Generation (RAG) capabilities, tool Use to automate sophisticated tasks, and is multilingual in 10 languages: English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Arabic, and Chinese. Command R+ is optimized for a variety of use cases including reasoning, summarization, and question answering.
-            <br/><br/>
-            **Model**: [c4ai-command-r-plus](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
-            <br/> 
-            **Developed by**: [Cohere](https://cohere.com/) and [Cohere for AI](https://cohere.com/research)
-            <br/>
-            **License**: [CC-BY-NC](https://cohere.com/c4ai-cc-by-nc-license), requires also adhering to [C4AI's Acceptable Use Policy](https://docs.cohere.com/docs/c4ai-acceptable-use-policy)
-            """
-            )
-            
-    with gr.Column():
-        with gr.Row():
-            chatbot = gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True)
-        
-        with gr.Row():
-            user_message = gr.Textbox(lines=1, placeholder="Ask anything ...", label="Input", show_label=False)
-
-      
-        with gr.Row():
-            submit_button = gr.Button("Submit")
-            clear_button = gr.Button("Clear chat")
-
-                        
-        history = gr.State([])
-        
-        user_message.submit(fn=generate_response, inputs=[user_message, cid, token, history], outputs=[chatbot, history, cid], concurrency_limit=32)
-        submit_button.click(fn=generate_response, inputs=[user_message, cid, token, history], outputs=[chatbot, history, cid], concurrency_limit=32)
-        
-        clear_button.click(fn=clear_chat, inputs=None, outputs=[chatbot, history, cid], concurrency_limit=32)
-
-        user_message.submit(lambda x: gr.update(value=""), None, [user_message], queue=False)
-        submit_button.click(lambda x: gr.update(value=""), None, [user_message], queue=False)
-        clear_button.click(lambda x: gr.update(value=""), None, [user_message], queue=False)
-        
-        with gr.Row():
-            gr.Examples(
-                examples=examples,
-                inputs=user_message,
-                cache_examples=False,
-                fn=trigger_example,
-                outputs=[chatbot],
-                examples_per_page=100
-            )
-
-    demo.load(lambda: secrets.token_hex(16), None, token)
-
-if __name__ == "__main__":
-    # demo.launch(debug=True)
-    try:
-        demo.queue(api_open=False, max_size=40).launch(show_api=False)
-    except Exception as e:
-        print(f"Error: {e}")

requirements.txt

@@ -1,2 +0,0 @@
-gradio==4.1.0
-cohere