Update app.py

app.py

@@ -1,25 +1,19 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
+# Inicia o cliente para o modelo
 client = InferenceClient("lambdaindie/lambdai")
 
+# CSS simples
 css = r"""
-/* Fonte e cores gerais */
 * { font-family: 'JetBrains Mono', monospace; }
 .gradio-container { background-color: #111; color: #e0e0e0; }
-/* Inputs e chat bubbles */
 textarea, input, .block, .wrap, .chatbot {
     background-color: #1a1a1a !important;
     color: #e0e0e0 !important;
     border: 1px solid #333 !important;
     border-radius: 10px;
 }
-/* Botão com pulse animation */
-@keyframes pulse {
-  0%   { transform: scale(1); box-shadow: 0 0 0 0 rgba(255,255,255,0.5); }
-  70%  { transform: scale(1.05); box-shadow: 0 0 0 10px rgba(255,255,255,0); }
-  100% { transform: scale(1); box-shadow: 0 0 0 0 rgba(255,255,255,0); }
-}
 button.pulse {
     background-color: #272727 !important;
     border: 1px solid #444 !important;
@@ -27,14 +21,10 @@ button.pulse {
     border-radius: 10px;
     animation: pulse 2s infinite;
 }
-/* Hover no botão */
-button.pulse:hover {
-    background-color: #444 !important;
-}
-/* Spinner de thinking */
-@keyframes spin {
-  0%   { transform: rotate(0deg); }
-  100% { transform: rotate(360deg); }
+@keyframes pulse {
+  0%   { transform: scale(1); box-shadow: 0 0 0 0 rgba(255,255,255,0.5); }
+  70%  { transform: scale(1.05); box-shadow: 0 0 0 10px rgba(255,255,255,0); }
+  100% { transform: scale(1); box-shadow: 0 0 0 0 rgba(255,255,255,0); }
 }
 .loader {
   border: 3px solid #2b2b2b;
@@ -43,11 +33,11 @@ button.pulse:hover {
   width: 18px;
   height: 18px;
   animation: spin 1s linear infinite;
-  display: inline-block;
-  margin-right: 8px;
-  vertical-align: middle;
 }
-/* Markdown de thinking dentro do chat */
+@keyframes spin {
+  0%   { transform: rotate(0deg); }
+  100% { transform: rotate(360deg); }
+}
 .thinking-html {
   background-color: #2b2b2b;
   padding: 8px;
@@ -58,81 +48,36 @@ button.pulse:hover {
   display: flex;
   align-items: center;
 }
-/* Opções de parâmetros ocultas até clique */
-#settings-panel {
-  display: none;
-  background-color: #1a1a1a;
-  padding: 10px;
-  border-radius: 10px;
-  margin-top: 10px;
-}
-#settings-panel.show {
-  display: block;
-}
 """
 
-with gr.Blocks(css=css) as demo:
+# Função principal para responder
+def respond(message, chat_history):
+    thinking_html = (
+        f"<div class='thinking-html'>"
+        f"<div class='loader'></div>"
+        f"Thinking… generating response..."
+        f"</div>"
+    )
+    yield chat_history + [{"role": "user", "content": message}, {"role": "assistant", "content": thinking_html}]
+    
+    response = client.chat_completion([{"role": "user", "content": message}], stream=False)
+    answer = response['choices'][0]['message']['content']
+    yield chat_history + [{"role": "user", "content": message}, {"role": "assistant", "content": answer}]
 
-    gr.Markdown("<h1 style='text-align:center;color:#e0e0e0;'>Lambdai-v1-1B Chat</h1>")
-    chatbot = gr.Chatbot(elem_id="chatbot", height=480, render_markdown=True, type='messages')
+# Interface Gradio
+with gr.Blocks(css=css) as demo:
+    gr.Markdown("<h1 style='text-align:center;color:#e0e0e0;'>Lambdai-v1-1B</h1>")
+    chatbot = gr.Chatbot(elem_id="chatbot", height=480, render_markdown=True)
 
-    with gr.Row():
-        system_message = gr.Textbox(value="You are a helpful assistant.", label="System message", lines=1)
     with gr.Row():
         user_input  = gr.Textbox(show_label=False, placeholder="Type your message here...", lines=2)
-        send_button = gr.Button("Λ Think", elem_classes="pulse")
-
-    with gr.Row():
-        settings_button = gr.Button("Show Settings", elem_classes="pulse")
-        settings_panel = gr.Column(
-            gr.Slider(128, 2048, value=512, step=1, label="Max tokens"),
-            gr.Slider(0.1, 1.5,  value=0.7, step=0.1, label="Temperature"),
-            gr.Slider(0.1, 1.0,  value=0.95, step=0.05, label="Top‑p"),
-            elem_id="settings-panel"
-        )
-
-    def toggle_settings():
-        return gr.update(visible=True) if not settings_panel.visible else gr.update(visible=False)
-
-    def respond(message, chat_history, system_message, max_tokens, temperature, top_p):
-        # Exibe o spinner + "thinking"
-        thinking_html = (
-            f"<div class='thinking-html'>"
-            f"<div class='loader'></div>"
-            f"Thinking… generating reasoning path…"
-            f"</div>"
-        )
-        yield chat_history + [{"role": "user", "content": message}, {"role": "assistant", "content": thinking_html}]
-
-        # Prepara payload para API
-        messages = [{"role": "system", "content": system_message}]
-        for u, a in chat_history:
-            if u: messages.append({"role":"user",     "content":u})
-            if a: messages.append({"role":"assistant","content":a})
-        messages.append({"role": "user", "content": message})
-
-        # Chama API
-        response = ""
-        for chunk in client.chat_completion(
-            messages,
-            max_tokens=max_tokens,
-            temperature=temperature,
-            top_p=top_p,
-            stream=True
-        ):
-            delta = chunk.choices[0].delta.content or ""
-            response += delta
-            yield chat_history + [{"role": "user", "content": message}, {"role": "assistant", "content": response}]
+        send_button = gr.Button("Send", elem_classes="pulse")
 
+    # Aciona a função ao clicar no botão
     send_button.click(
         fn=respond,
-        inputs=[user_input, chatbot, system_message, 512, 0.7, 0.95],
+        inputs=[user_input, chatbot],
         outputs=chatbot
     )
 
-    settings_button.click(
-        fn=toggle_settings,
-        outputs=settings_panel
-    )
-
     demo.launch()