Update app.py

app.py

@@ -1,44 +1,60 @@
 import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import time
+import random
 
-# Function to simulate conversation with model selection
-def chat_interface(user_input, selected_model):
-    response = f"[{selected_model}] says: You entered '{user_input}'. This is a simulated response."
-    return response
+# Load the models and tokenizer
+model_name = "Canstralian/text2shellcommands"  # Choose your model, can be changed based on use case
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
 
-# List of available models
-models = ["Canstralian/text2shellcommands", "Canstralian/RabbitRedux", "Canstralian/CySec_Known_Exploit_Analyzer"]
+# Function to generate shell command or response based on the prompt
+def generate_shell_command(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs, max_length=50, num_return_sequences=1)
+    command = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return command
 
-# Gradio Interface
-with gr.Blocks(css="./static/styles.css") as demo:
-    with gr.Row():
-        gr.Markdown(
-            "### Welcome to the Retro Hacker Chat! \n"
-            "_Experience the retro vibe while interacting with your models._",
-            elem_classes="retro-terminal"
-        )
-    with gr.Row():
-        user_input = gr.Textbox(
-            label="Enter your message:",
-            placeholder="Type your message here...",
-            elem_classes="retro-terminal"
-        )
-        model_selector = gr.Dropdown(
-            choices=models,
-            label="Select Model",
-            value=models[0],
-            elem_classes="retro-terminal"
-        )
-    with gr.Row():
-        response_box = gr.Textbox(
-            label="Model Response:",
-            placeholder="The model's response will appear here...",
-            elem_classes="retro-terminal"
-        )
-    with gr.Row():
-        send_button = gr.Button("Send", elem_classes="retro-terminal")
+# Function to simulate a retro terminal environment with some 90s hacker vibe
+def terminal_ui(prompt):
+    # Simulate typing effect
+    fake_typing_effect = [
+        "Initializing...\n",
+        "Boot sequence complete...\n",
+        "Connecting to secure network...\n",
+        "Accessing restricted files...\n",
+        "Running diagnostics...\n",
+        "Command input: " + prompt + "\n"
+    ]
+    
+    # Adding some suspense and random time delays to create that 'hacker' feel
+    for line in fake_typing_effect:
+        time.sleep(random.uniform(0.5, 1.5))  # Simulate typing delay
+        print(line)  # Simulate print to terminal
+        time.sleep(0.3)
+    
+    # Get AI-generated response for the command prompt
+    command_response = generate_shell_command(prompt)
+    
+    # Simulate result display with some retro terminal feedback
+    result_output = f"\n[ SYSTEM STATUS: OK ]\n[ {random.choice(['OK', 'ERROR', 'WARNING'])} ]\n\n"
+    result_output += f"Command executed: {command_response}\n"
+    result_output += "[ End of output ]"
+    
+    return result_output
 
-    # Link input and output
-    send_button.click(chat_interface, inputs=[user_input, model_selector], outputs=response_box)
+# Create a Gradio interface with a retro terminal design
+def retro_terminal_interface(prompt):
+    result = terminal_ui(prompt)
+    return result
 
-# Launch the interface
-demo.launch()
+# Launch the Gradio app with a terminal theme
+iface = gr.Interface(
+    fn=retro_terminal_interface, 
+    inputs=gr.Textbox(placeholder="Type your shell command here...", label="Enter Command:"),
+    outputs=gr.Textbox(label="Terminal Output", lines=20, interactive=False),
+    theme="compact",  # Use Gradio's built-in compact theme for a terminal-like feel
+    live=True  # Enable live feedback to simulate a real-time terminal experience
+)
+
+iface.launch()