Update app.py

app.py

@@ -1,69 +1,185 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+import random
 
+# 50 лучших моделей для выбора
+MODELS = {
+    "🚀 LLaMA-3-70B": "meta-llama/Meta-Llama-3-70B-Instruct",
+    "⚡ LLaMA-3-8B": "meta-llama/Meta-Llama-3-8B-Instruct",
+    "🤖 Mistral-7B": "mistralai/Mistral-7B-Instruct-v0.3",
+    "🌪️ Mixtral-8x7B": "mistralai/Mixtral-8x7B-Instruct-v0.1",
+    "💬 Mixtral-8x22B": "mistralai/Mixtral-8x22B-Instruct-v0.1",
+    "🧠 Qwen-2.5-72B": "Qwen/Qwen2.5-72B-Instruct",
+    "📚 Qwen-2.5-7B": "Qwen/Qwen2.5-7B-Instruct",
+    "⚙️ Gemma-2-27B": "google/gemma-2-27b-it",
+    "🔧 Gemma-2-9B": "google/gemma-2-9b-it",
+    "🎯 Gemma-2B": "google/gemma-2b-it",
+    "🌟 Command-R+": "CohereForAI/c4ai-command-r-plus",
+    "📝 Command-R": "CohereForAI/c4ai-command-r-v01",
+    "🔥 DeepSeek-V3": "deepseek-ai/DeepSeek-V3",
+    "⚡ DeepSeek-R1": "deepseek-ai/DeepSeek-R1",
+    "🎨 DeepSeek-Coder": "deepseek-ai/DeepSeek-Coder-33B-instruct",
+    "💡 Phi-3-mini": "microsoft/Phi-3-mini-4k-instruct",
+    "📖 Phi-3-small": "microsoft/Phi-3-small-8k-instruct",
+    "🏆 Phi-3-medium": "microsoft/Phi-3-medium-4k-instruct",
+    "🚅 Starling-LM": "berkeley-nest/Starling-LM-7B-alpha",
+    "✨ Neural-7B": "Intel/neural-chat-7b-v3-3",
+    "🔮 SOLAR-10.7B": "upstage/SOLAR-10.7B-Instruct-v1.0",
+    "🌊 Yi-34B": "01-ai/Yi-34B-Chat",
+    "🌿 Yi-6B": "01-ai/Yi-6B-Chat",
+    "💫 Zephyr-7B": "HuggingFaceH4/zephyr-7b-beta",
+    "🔥 Tulu-2-70B": "allenai/tulu-2-70b",
+    "⚡ Tulu-2-13B": "allenai/tulu-2-13b",
+    "🎯 OpenHermes-2.5": "teknium/OpenHermes-2.5-Mistral-7B",
+    "🚀 Nous-Hermes-2": "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
+    "💬 Vicuna-33B": "lmsys/vicuna-33b-v1.3",
+    "🧪 WizardLM-70B": "WizardLM/WizardLM-70B-V1.0",
+    "📊 WizardCoder-15B": "WizardLM/WizardCoder-15B-V1.0",
+    "🎓 WizardMath-70B": "WizardLM/WizardMath-70B-V1.0",
+    "🔬 Falcon-40B": "tiiuae/falcon-40b-instruct",
+    "🌍 Falcon-7B": "tiiuae/falcon-7b-instruct",
+    "⚡ MPT-30B": "mosaicml/mpt-30b-chat",
+    "🔥 MPT-7B": "mosaicml/mpt-7b-chat",
+    "💫 Dolly-v2-12B": "databricks/dolly-v2-12b",
+    "✨ Dolly-v2-3B": "databricks/dolly-v2-3b",
+    "🌟 Pythia-12B": "EleutherAI/pythia-12b-deduped",
+    "🚀 RedPajama-3B": "togethercomputer/RedPajama-INCITE-Chat-3B-v1",
+    "🎯 Guanaco-65B": "timdettmers/guanaco-65b",
+    "📚 Guanaco-33B": "timdettmers/guanaco-33b",
+    "🧠 Guanaco-13B": "timdettmers/guanaco-13b",
+    "⚡ Guanaco-7B": "timdettmers/guanaco-7b",
+    "💡 Cerebras-GPT-13B": "cerebras/Cerebras-GPT-13B",
+    "🔧 GPT-NeoX-20B": "EleutherAI/gpt-neox-20b",
+    "🌊 GPT-J-6B": "EleutherAI/gpt-j-6b",
+    "🎨 BLIP-2": "Salesforce/blip2-opt-2.7b",
+    "📝 FLAN-T5-XXL": "google/flan-t5-xxl",
+    "⚙️ FLAN-UL2": "google/flan-ul2"
+}
 
-def respond(
-    message,
-    history: list[dict[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-    hf_token: gr.OAuthToken,
-):
-    """
-    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(token=hf_token.token, model="stepfun-ai/Step-3.5-Flash-Base")
-
-    messages = [{"role": "system", "content": system_message}]
-
-    messages.extend(history)
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        choices = message.choices
-        token = ""
-        if len(choices) and choices[0].delta.content:
-            token = choices[0].delta.content
-
-        response += token
-        yield response
+def format_model_name(name):
+    return f"{name[:30]}..." if len(name) > 30 else name
 
+def respond(message, history, model, system_message, max_tokens, temperature, top_p, hf_token):
+    try:
+        client = InferenceClient(token=hf_token.token if hf_token else None, model=MODELS[model])
+        
+        messages = [{"role": "system", "content": system_message}] + history + [{"role": "user", "content": message}]
+        
+        response = ""
+        for chunk in client.chat_completion(messages, max_tokens=max_tokens, stream=True, temperature=temperature, top_p=top_p):
+            if chunk.choices and chunk.choices[0].delta.content:
+                response += chunk.choices[0].delta.content
+                yield response
+    except Exception as e:
+        yield f"❌ Error: {str(e)}"
 
+# Крутой CSS дизайн
+css = """
+:root {
+  --primary: #8b5cf6;
+  --secondary: #ec4899;
+  --dark: #1f2937;
+}
+.gradio-container {
+  max-width: 1200px !important;
+  margin: auto !important;
+  font-family: 'Inter', sans-serif !important;
+  background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+  min-height: 100vh;
+}
+.chat-message {
+  border-radius: 20px !important;
+  border: none !important;
+  box-shadow: 0 10px 40px rgba(0,0,0,0.1) !important;
+  transition: all 0.3s ease !important;
+}
+.chat-message:hover {
+  transform: translateY(-2px);
+  box-shadow: 0 15px 50px rgba(0,0,0,0.15) !important;
+}
+.user-message {
+  background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
+  color: white !important;
+}
+.bot-message {
+  background: white !important;
+  color: #333 !important;
+}
+button.primary {
+  background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
+  border: none !important;
+  border-radius: 12px !important;
+  padding: 10px 25px !important;
+  font-weight: 600 !important;
+  transition: all 0.3s ease !important;
+}
+button.primary:hover {
+  transform: scale(1.05);
+  box-shadow: 0 10px 30px rgba(102,126,234,0.4) !important;
+}
+.sidebar {
+  background: rgba(255,255,255,0.95) !important;
+  border-radius: 20px !important;
+  padding: 20px !important;
+  backdrop-filter: blur(10px);
+}
 """
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-chatbot = 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)",
-        ),
-    ],
-)
-
-with gr.Blocks() as demo:
-    with gr.Sidebar():
-        gr.LoginButton()
-    chatbot.render()
 
+with gr.Blocks(css=css, theme=gr.themes.Soft()) as demo:
+    with gr.Sidebar(open=True):
+        gr.Markdown("""
+        # 🤖 AI Chat Hub
+        ### 50+ Models • Instant Answers
+        """)
+        
+        login_btn = gr.LoginButton()
+        
+        model_dropdown = gr.Dropdown(
+            choices=list(MODELS.keys()),
+            value="🚀 LLaMA-3-70B",
+            label="🎯 Select Model",
+            interactive=True
+        )
+        
+        with gr.Accordion("⚙️ Advanced Settings", open=False):
+            system_msg = gr.Textbox(
+                value="You are a helpful AI assistant.",
+                label="System Prompt",
+                lines=2
+            )
+            
+            with gr.Row():
+                max_tokens = gr.Slider(100, 4096, 1024, step=100, label="Max Tokens")
+                temperature = gr.Slider(0.1, 2.0, 0.7, step=0.1, label="Temperature")
+                top_p = gr.Slider(0.1, 1.0, 0.95, step=0.05, label="Top P")
+            
+            gr.Markdown("""
+            💡 **Tips:**
+            - **Higher temperature** = more creative
+            - **Lower temperature** = more focused
+            - **Top P** controls diversity
+            """)
+    
+    # Главный чат
+    chatbot = gr.ChatInterface(
+        respond,
+        additional_inputs=[
+            model_dropdown,
+            system_msg,
+            max_tokens,
+            temperature,
+            top_p,
+            login_btn
+        ],
+        examples=[
+            ["Explain quantum computing in simple terms"],
+            ["Write a poem about AI"],
+            ["How to learn programming?"],
+            ["Tell me a joke"],
+            ["What's the meaning of life?"],
+        ],
+        cache_examples=False,
+    )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch(server_name="0.0.0.0", server_port=7860)