Create app.py

app.py

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+# Import libraries
+import os
+import gradio as gr
+from groq import Groq
+
+# Set up Groq API client (ensure GROQ_API_KEY is set in your environment or as a Hugging Face secret for deployment)
+client = Groq(api_key="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")
+
+
+# Function to interact with the LLM using Groq's API
+def chatbot(user_input):
+    try:
+        # Send user input to the LLM and get a response
+        chat_completion = client.chat.completions.create(
+            messages=[
+                {
+                    "role": "user",
+                    "content": user_input,
+                }
+            ],
+            model="llama3-8b-8192",  # Replace with the desired model
+        )
+        response = chat_completion.choices[0].message.content
+        return response
+    except Exception as e:
+        # Handle errors gracefully
+        return f"An error occurred: {str(e)}"
+
+# Create a Gradio interface for real-time interaction
+iface = gr.Interface(
+    fn=chatbot,
+    inputs=gr.Textbox(label="Your Message", placeholder="Type a message here..."),
+    outputs=gr.Textbox(label="Response"),
+    title="Real-Time Text-to-Text Chatbot - by ATIF MEHMOOD",
+    description="You can Chat with the LLM in real-time using Groq's API.",
+)
+
+# Launch the Gradio app
+iface.launch()