Update app.py

app.py

@@ -1,11 +1,15 @@
-
 import gradio as gr
 import requests
+import os  # Import os to access environment variables
+
+# Retrieve the API key securely from Hugging Face Secrets
+GROQ_API_KEY = os.getenv("myapi")
 
-# Groq API Key (Replace with your actual key)
-GROQ_API_KEY = "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"
+# Ensure API key is set
+if not GROQ_API_KEY:
+    raise ValueError("Error: GROQ_API_KEY is missing! Check your Hugging Face secret settings.")
 
-# Correct Groq API URL for chat completion
+# Groq API URL
 GROQ_API_URL = "https://api.groq.com/openai/v1/chat/completions"
 
 # Function to interact with Groq API
@@ -13,7 +17,7 @@ def chat_with_groq(prompt, history):
     headers = {"Authorization": f"Bearer {GROQ_API_KEY}", "Content-Type": "application/json"}
 
     # System role for chatbot identity
-    messages = [{"role": "system", "content": "You are Faraz-Chatbot, an AI assistant created by Muhammad Faraz to provide helpful responses."}] 
+    messages = [{"role": "system", "content": "You are Faraz-Chatbot, an AI assistant created by Muhammad Faraz."}]
 
     # Ensure history is in the correct format
     for entry in history:
@@ -24,13 +28,13 @@ def chat_with_groq(prompt, history):
 
     # Add the latest user query
     messages.append({"role": "user", "content": prompt})  
-    
+
     # Custom response when asked about the owner
     if "who is your owner" in prompt.lower() or "who created you" in prompt.lower():
         return "I was created by Muhammad Faraz, a passionate developer!"
 
-    payload = {"model": "llama3-8b-8192", "messages": messages}  # Groq's LLaMA 3 model
-    
+    payload = {"model": "llama3-8b-8192", "messages": messages}  
+
     try:
         response = requests.post(GROQ_API_URL, headers=headers, json=payload)
         response_data = response.json()
@@ -46,14 +50,12 @@ def chat_with_groq(prompt, history):
 # Function to handle chatbot responses
 def chatbot(query, history):
     if not query.strip():
-        return history, ""  # Return previous history and clear input box
-    
-    response = chat_with_groq(query, history)
+        return history, ""  
 
-    # Append user query and bot response as a list of lists
+    response = chat_with_groq(query, history)
     history = history + [[query, response]]
     
-    return history, ""  # Clear the input box after response
+    return history, ""  
 
 # Gradio Interface
 with gr.Blocks() as demo:
@@ -63,10 +65,12 @@ with gr.Blocks() as demo:
     chatbot_interface = gr.Chatbot()
     user_input = gr.Textbox(placeholder="Ask me anything...", show_label=False)
 
-    history = gr.State([])  # Stores conversation history
+    history = gr.State([])
 
-    # Automatically trigger response when Enter is pressed
     user_input.submit(fn=chatbot, inputs=[user_input, history], outputs=[chatbot_interface, user_input])
 
 # Launch the chatbot
 demo.launch()
+
+
+