Update HuggingChat with login and prefixed model names

- Add automatic login with provided credentials
- Prefix all HuggingChat models with 'huggingface-'
- Add new models:
* huggingface-omni
* huggingface-llama-3.3-70b
* huggingface-qwen-72b
* huggingface-deepseek-r1
* huggingface-kimi-k2
- Remove old Copilot files

config.py

@@ -25,9 +25,11 @@ MODEL_RANKING = [
     ("gpt-4o-mini", "g4f", "gpt-4o-mini"),
     ("glm-5", "zai", "glm-5"),
     ("gemini-3-flash", "gemini", "gemini-3-flash"),
-    ("huggingchat-omni", "huggingchat", "omni"),
-    ("llama-3.3-70b", "huggingchat", "meta-llama/Llama-3.3-70B-Instruct"),
-    ("qwen2.5-72b", "huggingchat", "Qwen/Qwen2.5-72B-Instruct"),
+    ("huggingface-omni", "huggingchat", "omni"),
+    ("huggingface-llama-3.3-70b", "huggingchat", "meta-llama/Llama-3.3-70B-Instruct"),
+    ("huggingface-qwen-72b", "huggingchat", "Qwen/Qwen2.5-72B-Instruct"),
+    ("huggingface-deepseek-r1", "huggingchat", "deepseek-ai/DeepSeek-R1"),
+    ("huggingface-kimi-k2", "huggingchat", "moonshotai/Kimi-K2-Instruct"),
     ("gpt-oss-20b", "pollinations", "openai"),
     ("mistral-small-3.2", "pollinations", "mistral"),
     
@@ -85,12 +87,11 @@ PROVIDER_MODELS = {
         "gemini-3-flash",
     ],
     "huggingchat": [
-        "omni",
-        "meta-llama/Llama-3.3-70B-Instruct",
-        "Qwen/Qwen2.5-72B-Instruct",
-        "deepseek-ai/DeepSeek-R1",
-        "meta-llama/Llama-3.1-8B-Instruct",
-        "mistralai/Mistral-7B-Instruct-v0.3",
+        "huggingface-omni",
+        "huggingface-llama-3.3-70b",
+        "huggingface-qwen-72b",
+        "huggingface-deepseek-r1",
+        "huggingface-kimi-k2",
     ],
     "pollinations": [
         "gpt-oss-20b",

providers/huggingchat_provider.py

@@ -4,8 +4,8 @@ HuggingChat Provider (Browser-Based)
 Uses Playwright Chromium to interact with https://huggingface.co/chat as a real browser.
 
 Strategy:
-- Handles the welcome modal by clicking "Start chatting"
-- Uses EPHEMERAL contexts per request
+- Handles login with provided credentials
+- Saves session cookies for reuse
 - Supports model selection via the model dropdown
 - Scrapes AI response from the DOM
 """
@@ -22,6 +22,10 @@ _playwright = None
 _browser = None
 _lock = asyncio.Lock()
 
+# Hugging Face credentials
+HF_USERNAME = "one@bo5.store"
+HF_PASSWORD = "Zzzzz1$."
+
 
 class HuggingChatProvider(BaseProvider):
     """AI provider using HuggingChat via Persistent Playwright Browser."""
@@ -34,7 +38,7 @@ class HuggingChatProvider(BaseProvider):
         return "huggingchat"
 
     def get_available_models(self) -> list[str]:
-        return PROVIDER_MODELS.get("huggingchat", ["omni", "meta-llama/Llama-3.3-70B-Instruct"])
+        return PROVIDER_MODELS.get("huggingchat", ["huggingface-omni"])
 
     @staticmethod
     def is_available() -> bool:
@@ -68,6 +72,56 @@ class HuggingChatProvider(BaseProvider):
             )
             logger.info("✅ HuggingChat: Browser is Ready.")
 
+    async def _login(self, context) -> bool:
+        """
+        Perform login to Hugging Face.
+        Returns True if login successful.
+        """
+        page = await context.new_page()
+        
+        try:
+            logger.info("HuggingChat: Navigating to login page...")
+            await page.goto("https://huggingface.co/login", timeout=60000)
+            
+            # Wait for login form
+            await page.wait_for_selector('input[name="username"]', timeout=10000)
+            
+            logger.info("HuggingChat: Filling login credentials...")
+            
+            # Fill username/email
+            await page.fill('input[name="username"]', HF_USERNAME)
+            await asyncio.sleep(0.5)
+            
+            # Fill password
+            await page.fill('input[name="password"]', HF_PASSWORD)
+            await asyncio.sleep(0.5)
+            
+            # Click login button
+            await page.click('button[type="submit"]')
+            
+            # Wait for navigation after login
+            try:
+                await page.wait_for_url("https://huggingface.co/", timeout=10000)
+                logger.info("✅ HuggingChat: Login successful!")
+                await page.close()
+                return True
+            except:
+                # Check if we're still on login page (login failed)
+                current_url = page.url
+                if "login" in current_url:
+                    logger.error("❌ HuggingChat: Login failed - still on login page")
+                    await page.close()
+                    return False
+                else:
+                    logger.info("✅ HuggingChat: Login successful (redirected)")
+                    await page.close()
+                    return True
+                    
+        except Exception as e:
+            logger.error(f"❌ HuggingChat: Login error: {e}")
+            await page.close()
+            return False
+
     async def send_message(
         self,
         prompt: str,
@@ -80,9 +134,9 @@ class HuggingChatProvider(BaseProvider):
             raise RuntimeError("Playwright not installed.")
 
         await self._ensure_browser()
-        selected_model = model or "omni"
+        selected_model = model or "huggingface-omni"
 
-        # Create Ephemeral Context
+        # Create persistent context (for session/cookies)
         context = await _browser.new_context(
             viewport={"width": 1920, "height": 1080},
             user_agent="Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) "
@@ -96,6 +150,12 @@ class HuggingChatProvider(BaseProvider):
             Object.defineProperty(navigator, 'webdriver', {get: () => undefined});
         """)
 
+        # Try to login first
+        login_success = await self._login(context)
+        if not login_success:
+            await context.close()
+            raise RuntimeError("Failed to login to Hugging Face. Check credentials.")
+
         page = await context.new_page()
 
         try:
@@ -104,22 +164,14 @@ class HuggingChatProvider(BaseProvider):
             # Navigate to HuggingChat
             await page.goto("https://huggingface.co/chat", timeout=60000)
             
-            # Handle welcome modal if present
-            try:
-                start_btn = await page.wait_for_selector(
-                    'button:has-text("Start chatting")', 
-                    timeout=5000
-                )
-                if start_btn:
-                    logger.info("HuggingChat: Clicking 'Start chatting' button...")
-                    await start_btn.click()
-                    await asyncio.sleep(1)
-            except:
-                logger.info("HuggingChat: No welcome modal found, continuing...")
+            # Wait for chat interface to load
+            await asyncio.sleep(2)
 
             # If specific model requested (not omni), try to select it
-            if selected_model and selected_model != "omni":
-                await self._select_model(page, selected_model)
+            if selected_model and selected_model != "huggingface-omni":
+                # Extract actual model name from prefixed name
+                actual_model = selected_model.replace("huggingface-", "")
+                await self._select_model(page, actual_model)
 
             await asyncio.sleep(self.HYDRATION_DELAY)
 
@@ -175,6 +227,7 @@ class HuggingChatProvider(BaseProvider):
                 await asyncio.sleep(1)
                 
                 # Try to find and click the specific model
+                # Model names in HuggingChat are full paths like "meta-llama/Llama-3.3-70B-Instruct"
                 model_option = await page.query_selector(
                     f'text={model}'
                 )

test_huggingchat_browser.py

@@ -45,13 +45,13 @@ async def test_huggingchat():
         return False
 
     # Test with specific model
-    print("\n📝 Test 2: Using Llama 3.3 70B")
+    print("\n📝 Test 2: Using DeepSeek R1")
     print("-" * 50)
 
     try:
         result = await provider.send_message(
             "What is 2+2? Answer with just the number.",
-            model="meta-llama/Llama-3.3-70B-Instruct"
+            model="huggingface-deepseek-r1"
         )
         print(f"✅ SUCCESS!")
         print(f"🤖 Model: {result['model']}")