Update app.py

app.py

@@ -3,23 +3,21 @@ from huggingface_hub import InferenceClient
 
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
+def respond(message, history, system_message, max_tokens, temperature, top_p, backend):
+    forced_system = f"""
+You are a code-generation AI. You MUST generate a full website including an index.html file.
+Use only the {backend} backend structure. 
+Respond ONLY with raw code and file/folder structure. Do NOT explain or add commentary.
+    """.strip()
 
-def respond(message, history: list[tuple[str, str]], system_message, max_tokens, temperature, top_p, backend):
-    # Force the AI to generate a website with index.html and specified backend
-    forced_instruction = f"""
-You must generate a complete website structure including at least an index.html.
-Use the following backend structure: {backend}.
-Only use {backend} relevant code and structure, and don't include any other type.
-"""
-    system_message = forced_instruction + "\n\n" + system_message
+    system_message = forced_system + "\n\n" + system_message
 
     messages = [{"role": "system", "content": system_message}]
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
+    for user_msg, assistant_msg in history:
+        if user_msg:
+            messages.append({"role": "user", "content": user_msg})
+        if assistant_msg:
+            messages.append({"role": "assistant", "content": assistant_msg})
     messages.append({"role": "user", "content": message})
 
     response = ""
@@ -31,22 +29,41 @@ Only use {backend} relevant code and structure, and don't include any other type
         top_p=top_p,
     ):
         token = message.choices[0].delta.content
-        response += token
-        yield response
-
-
-demo = gr.ChatInterface(
-    fn=respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a helpful assistant.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new 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 (nucleus sampling)"),
-        gr.Dropdown(choices=["Flask", "Static", "Node.js"], value="Static", label="Website Backend"),
-    ],
-    title="WebGen AI",
-    description="Ask the AI to build a website with a specific backend (Flask, Static, or Node.js). It will always include index.html.",
-)
+        if token:
+            response += token
+            yield response
+
+with gr.Blocks() as demo:
+    gr.Markdown("# WebGen AI\nGenerate a complete website with your selected backend.")
+
+    with gr.Row():
+        system_msg = gr.Textbox(value="You're a helpful assistant.", label="System Message", lines=2)
+        backend = gr.Dropdown(["Flask", "Static", "Node.js"], value="Static", label="Backend")
+    
+    with gr.Row():
+        max_tokens = gr.Slider(1, 2048, value=512, label="Max Tokens")
+        temperature = gr.Slider(0.1, 4.0, value=0.7, step=0.1, label="Temperature")
+        top_p = gr.Slider(0.1, 1.0, value=0.95, step=0.05, label="Top-p")
+
+    chatbot = gr.Chatbot()
+    msg = gr.Textbox(placeholder="Ask to generate a website...", label="Your Message")
+
+    def user_submit(message, chat_history):
+        return "", chat_history + [[message, None]]
+
+    submit = gr.Button("Send")
+
+    state = gr.State([])
+
+    submit.click(
+        user_submit,
+        [msg, state],
+        [msg, state]
+    ).then(
+        respond,
+        [msg, state, system_msg, max_tokens, temperature, top_p, backend],
+        chatbot
+    )
 
 if __name__ == "__main__":
     demo.launch()