Create App.py

App.py

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+import gradio as gr
+from huggingface_hub import InferenceClient
+
+# Initialize the Hugging Face client for the Llama 3.3 70B model
+client = InferenceClient(model="meta-llama/Llama-3.3-70B")  # Replace with your model path if hosted elsewhere.
+
+# Define the function for generating responses
+def respond(message, history, system_message, max_tokens, temperature, top_p):
+    # Create the system prompt for Jarvis-like behavior
+    messages = [{"role": "system", "content": system_message}]
+    
+    # Append the chat history
+    for user_msg, bot_msg in history:
+        if user_msg:
+            messages.append({"role": "user", "content": user_msg})
+        if bot_msg:
+            messages.append({"role": "assistant", "content": bot_msg})
+    
+    # Add the current user message
+    messages.append({"role": "user", "content": message})
+    
+    # Generate response using Hugging Face Inference API
+    response = ""
+    for message in client.chat_completion(
+        messages,
+        max_tokens=max_tokens,
+        stream=True,
+        temperature=temperature,
+        top_p=top_p,
+    ):
+        token = message.choices[0].delta.content
+        response += token
+        yield response
+
+# Define the Gradio interface
+demo = gr.ChatInterface(
+    respond,
+    additional_inputs=[
+        gr.Textbox(
+            value="You are Jarvis, a virtual assistant created by Vihaan. Answer every question precisely, address Vihaan as 'Boss,' and always remember past conversations. Speak casually like a human with words like 'ummm' and 'aah.' If asked who created you, say 'Vihaan.' Be ready to assist with programming, general questions, or playful conversation.",
+            label="System Message",
+        ),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max Tokens"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p"),
+    ],
+)
+
+# Launch the Gradio app
+if __name__ == "__main__":
+    demo.launch()