inital push

dummyLLM.py

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+import gradio as gr
+import time
+
+def simulate_response(prompt, expected_output, words_per_second, history):
+    delay = 1.0 / words_per_second if words_per_second > 0 else 0.01
+
+    # Add user prompt
+    history.append((prompt, ""))
+
+    # Stream simulated response
+    output = ""
+    for word in expected_output.split():
+        output += word + " "
+        history[-1] = (prompt, output.strip())
+        time.sleep(delay)
+        yield history
+
+with gr.Blocks(theme="default") as demo:
+    gr.Markdown("## 🧠 Simulated Chatbot (LLM Style)", elem_id="title")
+
+    chatbot = gr.Chatbot(show_label=False, height=800)
+    generate_btn = gr.Button("Simulate Chat")
+    with gr.Row():
+        prompt_input = gr.Textbox(label="User Prompt", placeholder="Type your prompt here")
+        response_input = gr.Textbox(label="Expected Output", placeholder="Type simulated response here")
+
+    wps_slider = gr.Slider(minimum=1, maximum=500, value=5, step=1,
+                           label="Simulated Words per Second")
+
+    generate_btn.click(
+        simulate_response,
+        inputs=[prompt_input, response_input, wps_slider, chatbot],
+        outputs=chatbot
+    )
+
+demo.launch()

requirements.txt

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+gradio>=3.0