Update app.py

app.py

@@ -1,8 +1,6 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 import logging
-import json
-import os
 
 # Initialize the InferenceClient with the model ID from Hugging Face
 client = InferenceClient(model="HuggingFaceH4/zephyr-7b-beta")
@@ -14,27 +12,12 @@ logging.basicConfig(
     format='%(asctime)s - %(levelname)s - %(message)s',
 )
 
-API_KEYS_FILE = 'api_keys.json'
-
-def load_api_keys():
-    """Load API keys from the storage."""
-    if os.path.exists(API_KEYS_FILE):
-        with open(API_KEYS_FILE, 'r') as f:
-            return json.load(f)
-    return {}
-
-def authenticate(api_key: str):
-    """Authenticates the API key by checking against stored keys."""
-    api_keys = load_api_keys()
-    return api_key in api_keys.values()
-
 def log_conversation(user_message, bot_response):
     """Logs the conversation between the user and the AI."""
     logging.info(f"User: {user_message}")
     logging.info(f"Bot: {bot_response}")
 
 def respond(
-    api_key: str,
     message: str,
     history: list[tuple[str, str]],
     system_message: str,
@@ -46,11 +29,6 @@ def respond(
 ):
     """Generates a response from the AI model based on the user's message and chat history."""
 
-    # Authenticate the API key
-    if not authenticate(api_key):
-        yield "Invalid API key. Access denied."
-        return
-    
     # Prepare the conversation history for the API call
     messages = [{"role": "system", "content": system_message}]
     
@@ -103,7 +81,6 @@ def respond(
 demo = gr.ChatInterface(
     fn=respond,
     additional_inputs=[
-        gr.Textbox(value="", label="API Key", lines=1, type="password"),
         gr.Textbox(value="You are a friendly Chatbot.", label="System Message", lines=2),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max New Tokens"),
         gr.Slider(minimum=0.1, maximum=2.0, value=0.7, step=0.1, label="Temperature"),