Update app.py

app.py

@@ -20,8 +20,6 @@ from threading import Thread
 from langchain.chains import LLMChain
 from langchain_community.embeddings import HuggingFaceEmbeddings
 from langchain_core.prompts import PromptTemplate
-from langchain_google_genai import ChatGoogleGenerativeAI
-from langchain_qdrant import Qdrant
 
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
@@ -56,7 +54,7 @@ load_dotenv()
 
 OPENAPI_KEY = os.getenv("OPENAPI_KEY")
 CHUTES_KEY = os.getenv("CHUTES_KEY")
-GEMINI=os.getenv("GEMINI_API_KEY")
+# GEMINI=os.getenv("GEMINI_API_KEY")
 
 
 embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
@@ -164,13 +162,13 @@ def log_to_qdrant(question: str, answer: str):
 
 
 llm = ChatOpenAI(
+    base_url="https://openrouter.ai/api/v1",
     model="openrouter/cypher-alpha:free",
+    api_key=OPENAPI_KEY,# if you prefer to pass api key in directly instaed of using env vars
     temperature=0.1,
     max_tokens=None,
     timeout=None,
     max_retries=3,
-    api_key=GEMINI,# if you prefer to pass api key in directly instaed of using env vars
-    base_url="https://openrouter.ai/api/v1",
     stream=True,
     # api_key=CHUTES_KEY,
     # base_url="https://generativelanguage.googleapis.com/v1",
@@ -348,11 +346,12 @@ def clear_chat():
 
 # Gradio Interface
 with gr.Blocks() as iface:
-    gr.Image("Image.jpg", width=800, height=200, show_label=False, show_download_button=False)
-    gr.Markdown("# MaxWell  8.0.0 llama 4 (Maverick)")
+    gr.Image("Image.jpg", width=900, height=250, show_label=False, show_download_button=False)
+    gr.Markdown("# MaxWell  Q")
     gr.Markdown('### Patch notes')
     gr.Markdown("""
-**New Human Like Custom Llama 4**
+    
+**New Human Like Custom Language Model**
 
     """)