Update app.py

app.py

@@ -10,12 +10,8 @@ HF_TOKEN = os.environ.get("HF_TOKEN", None)
 USER_NAME = os.environ.get("USER_NAME", None)
 APP_PASSWORD = os.environ.get("APP_PASSWORD", None)
 
-def get_API(API_URL):
-    client = InferenceClient(
-    API_URL,
-    headers={"Authorization": f"Bearer {HF_TOKEN}"},
-    )
-    return client
+def get_Model(ModelName):
+    return ModelName
 
 def get_BOT(BOT_NAME):
     return BOT_NAME
@@ -127,16 +123,18 @@ with gr.Blocks() as demo:
         with gr.Column():
             gr.Markdown(
                 """
-                # GuruAI 
+                # GuruAI
+                
                 This is AI as Teacher, It will teach you about anything.
+                
                 ⚠️ **Limitations**: the model can and will produce factually incorrect information, hallucinating facts and actions. As it has not undergone any advanced tuning/alignment, it can produce problematic outputs, especially if prompted to do so. Finally, this demo is limited to a session length of about 1,000 words.
 
                 Example:
-                API_URL = "https://api-inference.huggingface.co/models/tiiuae/falcon-180B-chat" BOT_NAME = "Falcon"
+                API_URL = "tiiuae/falcon-180B-chat" BOT_NAME = "Falcon"
                 """
             )
             
-            input_API = gr.Interface(fn=get_API, inputs="text", outputs="text")
+            input_Model = gr.Interface(fn=get_Model, inputs="text", outputs="text")
             input_BOT = gr.Interface(fn=get_BOT, inputs="text", outputs="text")
 
     gr.ChatInterface(
@@ -145,4 +143,7 @@ with gr.Blocks() as demo:
         additional_inputs=additional_inputs,
     ) 
 
+Models = ('https://api-inference.huggingface.co/models/'+ ModelName)
+client = InferenceClient(Models,headers={"Authorization": f"Bearer {HF_TOKEN}"},)
+
 demo.queue(concurrency_count=100, api_open=True).launch(show_api=True, auth=(USER_NAME, APP_PASSWORD))