Update app.py

app.py

@@ -1 +1,143 @@
-print ("hello");
+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}")