Update app.py

app.py

@@ -1,311 +1,64 @@
-# 2) The actual app
-import os
-from getpass import getpass
-from openai import OpenAI
 import gradio as gr
-import requests
-import json
-from datetime import datetime
 
-# ——— Configure your OpenRouter key ———
-OPENROUTER_API_KEY = os.getenv("OPENROUTER_API_KEY")
-BSEARCH_API = os.getenv("BSEARCH_API")
-
-# Check if the API key was retrieved
-if not OPENROUTER_API_KEY:
-    print("Error: OPENROUTER_API_KEY not found in environment.")
-    print("Please set your API key in the environment as 'OPENROUTER_API_KEY'.")
-else:
-    client = OpenAI(
-        base_url="https://openrouter.ai/api/v1",
-        api_key=OPENROUTER_API_KEY,
-    )
-
-# Brave Search function
-def brave_search(query):
-    """Perform a web search using Brave Search API."""
-    if not BSEARCH_API:
-        return "Error: BSEARCH_API not found in environment. Please set your Brave Search API key."
-    
-    try:
-        headers = {
-            "Accept": "application/json",
-            "X-Subscription-Token": BSEARCH_API
-        }
-        
-        # Brave Search API endpoint
-        url = "https://api.search.brave.com/res/v1/web/search"
-        params = {
-            "q": query,
-            "count": 5  # Number of results to return
-        }
-        
-        response = requests.get(url, headers=headers, params=params)
-        response.raise_for_status()
-        
-        data = response.json()
-        
-        # Format the search results
-        results = []
-        if "web" in data and "results" in data["web"]:
-            for idx, result in enumerate(data["web"]["results"][:5], 1):
-                title = result.get("title", "No title")
-                url = result.get("url", "")
-                description = result.get("description", "No description")
-                results.append(f"{idx}. **{title}**\n   URL: {url}\n   {description}\n")
-        
-        if results:
-            return "🔍 **Web Search Results:**\n\n" + "\n".join(results)
-        else:
-            return "No search results found."
-            
-    except Exception as e:
-        return f"Search error: {str(e)}"
-
-def openrouter_chat(user_message, history, use_web_search):
-    """Send user_message and history to mistralai/devstral-small:free and append to history."""
-    history = history or []
-    
-    # If web search is enabled, perform search first
-    search_context = ""
-    if use_web_search and user_message.strip():
-        search_results = brave_search(user_message)
-        search_context = f"\n\n{search_results}\n\nBased on the above search results, please answer the following question:\n"
-        # Add search results to history as a system message
-        history.append(("🔍 Web Search Query", user_message))
-        history.append(("🌐 Search Results", search_results))
-    
-    # Build the messages list from the history and the current user message
-    messages_for_api = []
-    
-    # Add system message if web search was used
-    if search_context:
-        messages_for_api.append({
-            "role": "system", 
-            "content": "You are a helpful assistant. When web search results are provided, incorporate them into your response to give accurate and up-to-date information."
-        })
-    
-    for human_message, ai_message in history[:-2] if use_web_search else history:  # Exclude search entries from API messages
-        if not human_message.startswith("🔍") and not human_message.startswith("🌐"):
-            messages_for_api.append({"role": "user", "content": human_message})
-            if ai_message is not None:
-                messages_for_api.append({"role": "assistant", "content": ai_message})
-    
-    # Add the current user message with search context if applicable
-    current_message = search_context + user_message if search_context else user_message
-    messages_for_api.append({"role": "user", "content": current_message})
-    
-    try:
-        # Call the model with the mistralai/Devstral-Small-2505 for full conversation history
-        resp = client.chat.completions.create(
-            model="mistralai/devstral-small:free",
-            messages=messages_for_api,
-            # you can tweak max_tokens, temperature, etc. here
-        )
-        bot_reply = resp.choices[0].message.content
-        # Append the user message and bot reply to the history for Gradio display
-        history.append((user_message, bot_reply))
-    except Exception as e:
-        # Handle potential errors and append an error message to the history
-        history.append((user_message, f"Error: {e}"))
-    
-    return history, ""
-
-# Enhanced CSS with gradient background and visual improvements
-custom_css = """
-/* Gradient background */
-.gradio-container {
-    background: linear-gradient(135deg, #667eea 0%, #764ba2 25%, #f093fb 50%, #4facfe 75%, #00f2fe 100%);
-    min-height: 100vh;
-    padding: 20px;
-}
-
-/* Main container styling */
-.container {
-    max-width: 1200px;
+# Simple CSS for styling
+css = """
+.main-container {
+    max-width: 800px;
     margin: 0 auto;
+    padding: 40px 20px;
+    text-align: center;
 }
-
-/* Chat container with glassmorphism effect */
-#component-0 {
-    background: rgba(255, 255, 255, 0.1);
-    backdrop-filter: blur(10px);
+.redirect-box {
+    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
     border-radius: 20px;
-    border: 1px solid rgba(255, 255, 255, 0.2);
-    box-shadow: 0 8px 32px 0 rgba(31, 38, 135, 0.37);
-    padding: 20px;
-}
-
-/* Chatbot styling */
-.chatbot {
-    background: rgba(255, 255, 255, 0.9) !important;
-    border-radius: 15px !important;
-    border: none !important;
-    box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1) !important;
-}
-
-/* Message bubbles */
-.message {
-    border-radius: 10px !important;
-    padding: 12px 16px !important;
-    margin: 8px 0 !important;
-}
-
-.user {
-    background-color: #667eea !important;
-    color: white !important;
-    margin-left: 20% !important;
-}
-
-.bot {
-    background-color: #f0f0f0 !important;
-    color: #333 !important;
-    margin-right: 20% !important;
-}
-
-/* Input styling */
-.textbox {
-    border-radius: 10px !important;
-    border: 2px solid #667eea !important;
-    background: rgba(255, 255, 255, 0.95) !important;
-    font-size: 16px !important;
-}
-
-.textbox:focus {
-    border-color: #764ba2 !important;
-    box-shadow: 0 0 0 3px rgba(102, 126, 234, 0.2) !important;
-}
-
-/* Checkbox styling */
-.checkbox-group {
-    background: rgba(255, 255, 255, 0.8) !important;
-    border-radius: 10px !important;
-    padding: 10px !important;
-    margin: 10px 0 !important;
-}
-
-/* Button styling */
-button {
-    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
-    color: white !important;
-    border: none !important;
-    border-radius: 10px !important;
-    padding: 10px 20px !important;
-    font-weight: bold !important;
-    transition: all 0.3s ease !important;
-}
-
-button:hover {
-    transform: translateY(-2px) !important;
-    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.3) !important;
-}
-
-/* Title styling */
-h1, h2 {
-    color: white !important;
-    text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3) !important;
-}
-
-/* Markdown styling */
-.markdown-text {
-    color: white !important;
-    text-shadow: 1px 1px 2px rgba(0, 0, 0, 0.3) !important;
-}
-
-/* Web search results styling */
-.message:has(.search-results) {
-    background: linear-gradient(135deg, #ffecd2 0%, #fcb69f 100%) !important;
-    border-left: 4px solid #ff6b6b !important;
-}
-
-/* Responsive design */
-@media (max-width: 768px) {
-    .user {
-        margin-left: 10% !important;
-    }
-    .bot {
-        margin-right: 10% !important;
-    }
+    padding: 60px 40px;
+    box-shadow: 0 10px 30px rgba(0, 0, 0, 0.2);
+    margin: 20px auto;
+}
+.redirect-box h1 {
+    color: white;
+    font-size: 2.5em;
+    margin-bottom: 20px;
+}
+.redirect-box p {
+    color: white;
+    font-size: 1.3em;
+    margin-bottom: 30px;
+    opacity: 0.95;
+}
+.redirect-link {
+    display: inline-block;
+    background: white;
+    color: #667eea;
+    padding: 15px 40px;
+    border-radius: 30px;
+    text-decoration: none;
+    font-size: 1.2em;
+    font-weight: bold;
+    transition: all 0.3s ease;
+    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.1);
+}
+.redirect-link:hover {
+    transform: translateY(-3px);
+    box-shadow: 0 8px 25px rgba(0, 0, 0, 0.2);
 }
 """
 
-with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
-    gr.Markdown(
-        """
-        <div style="text-align: center; padding: 20px;">
-            <h1 style="font-size: 3em; margin-bottom: 10px;">🦜🔗 AI Chat Assistant</h1>
-            <h2 style="font-size: 1.5em; opacity: 0.9;">Powered by Devstral-Small with Brave Search Integration</h2>
+# Create Gradio app
+with gr.Blocks(css=css, title="Redirect to FLUX VIDEO") as demo:
+    gr.HTML("""
+    <div class="main-container">
+        <div class="redirect-box">
+            <h1>🎨 Welcome to FLUX VIDEO Generation</h1>
+            <p>Please visit our latest version for the best experience</p>
+            <a href="https://huggingface.co/spaces/ginigen/Flux-VIDEO" 
+               target="_blank" 
+               class="redirect-link">
+                Go to FLUX VIDEO →
+            </a>
         </div>
-        """,
-        elem_id="header"
-    )
-    
-    with gr.Row():
-        with gr.Column(scale=4):
-            chatbot = gr.Chatbot(
-                label="💬 Chat History",
-                height=500,
-                elem_classes=["chatbot"],
-                bubble_full_width=False
-            )
-            
-            with gr.Row():
-                msg_in = gr.Textbox(
-                    placeholder="Type your question here… (Press Enter to send)",
-                    label="✍️ Your Message",
-                    scale=4,
-                    lines=2
-                )
-            
-            with gr.Row():
-                use_web_search = gr.Checkbox(
-                    label="🔍 Enable Web Search",
-                    value=True,
-                    info="Search the web for current information before answering"
-                )
-                clear_btn = gr.Button("🗑️ Clear Chat", size="sm")
-        
-        with gr.Column(scale=1):
-            gr.Markdown(
-                """
-                ### 📋 Features
-                - 💬 Real-time chat with AI
-                - 🔍 Web search integration
-                - 📜 Conversation history
-                - 🎨 Beautiful gradient UI
-                
-                ### 🔧 Tips
-                - Enable web search for current events
-                - Ask follow-up questions
-                - Clear chat to start fresh
-                
-                ### ⚡ Shortcuts
-                - Enter: Send message
-                - Shift+Enter: New line
-                """,
-                elem_classes=["markdown-text"]
-            )
-    
-    # Event handlers
-    msg_in.submit(
-        openrouter_chat, 
-        inputs=[msg_in, chatbot, use_web_search], 
-        outputs=[chatbot, msg_in]
-    )
-    
-    clear_btn.click(lambda: ([], ""), outputs=[chatbot, msg_in])
-    
-    # Add example queries
-    gr.Examples(
-        examples=[
-            ["What's the latest news about AI?", True],
-            ["Explain quantum computing in simple terms", False],
-            ["What's the weather like today?", True],
-            ["Write a Python function to sort a list", False],
-            ["What are the current stock market trends?", True]
-        ],
-        inputs=[msg_in, use_web_search],
-        label="💡 Example Queries"
-    )
+    </div>
+    """)
 
+# Launch the app
 demo.launch()