Rename app.py to config.py

app.py

@@ -1,46 +0,0 @@
-import gradio as gr
-from groq.client import Client  # Adjust this based on Groq's official documentation
-
-# Initialize Groq API client
-api_key = "your_groq_api_key"  # Replace with your actual API key
-client = Client(api_key=api_key)
-
-# Chatbot logic using Groq API
-def chatbot(message, history):
-    history = history or []  # Initialize history if None
-
-    # Build a prompt using the chat history
-    prompt = "\n".join([f"User: {msg[0]}\nBot: {msg[1]}" for msg in history])
-    prompt += f"\nUser: {message}\nBot:"
-
-    # Query the Groq API
-    response = client.chat.completions.create(
-        messages=[{"role": "user", "content": prompt}],
-        model="llama-3.3-70b-versatile",  # Adjust the model name if necessary
-    )
-    bot_reply = response.choices[0].message.content.strip()  # Extract the reply
-
-    # Append the conversation to history
-    history.append((message, bot_reply))
-    return history, history
-
-# Gradio Interface
-with gr.Blocks() as demo:
-    gr.Markdown("# Gradio Chatbot with Groq API")
-    chatbot_ui = gr.Chatbot(label="Chatbot")  # Chatbot display
-    with gr.Row():
-        user_input = gr.Textbox(placeholder="Type your message here...")  # Input box
-        submit_btn = gr.Button("Send")  # Send button
-
-    # Clear history button
-    clear_btn = gr.Button("Clear Chat")
-
-    # State management for chat history
-    state = gr.State()
-
-    # Event bindings
-    submit_btn.click(chatbot, inputs=[user_input, state], outputs=[chatbot_ui, state])
-    clear_btn.click(lambda: ([], None), outputs=[chatbot_ui, state])
-
-# Launch the app
-demo.launch()

config.py

@@ -0,0 +1,5 @@
+import os
+
+# Configuration for Groq API
+GROQ_API_KEY = os.getenv("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")
+MODEL_NAME = "llama-3.3-70b-versatile"