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Update app.py
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app.py
CHANGED
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@@ -3,14 +3,14 @@ import gradio as gr
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# ==========================================
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# 1.
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# ==========================================
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MODEL_ID = "DavidBazaldua/llama3_finetuned_transformes"
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DEVICE = "cpu" #
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DTYPE = torch.float32
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print(f"
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tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
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model = AutoModelForCausalLM.from_pretrained(
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MODEL_ID,
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@@ -19,7 +19,7 @@ model = AutoModelForCausalLM.from_pretrained(
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)
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model.to(DEVICE)
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model.eval()
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print("
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DEFAULT_SYSTEM_PROMPT = (
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"You are a helpful, precise AI assistant. "
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@@ -28,7 +28,7 @@ DEFAULT_SYSTEM_PROMPT = (
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)
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# ==========================================
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# 2.
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# ==========================================
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def build_prompt(system_prompt, context, history, user_message):
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@@ -37,19 +37,19 @@ def build_prompt(system_prompt, context, history, user_message):
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if system_prompt and system_prompt.strip():
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messages.append({"role": "system", "content": system_prompt})
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# 2.
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if context and context.strip():
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messages.append({
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"role": "system",
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"content": f"Use the following context if relevant:\n{context}"
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})
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# 3.
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for user, assistant in history:
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messages.append({"role": "user", "content": user})
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messages.append({"role": "assistant", "content": assistant})
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# 4.
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messages.append({"role": "user", "content": user_message})
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prompt = tokenizer.apply_chat_template(
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@@ -69,7 +69,6 @@ def chat_logic(message, history, system_prompt, context, max_tokens, temperature
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if not system_prompt:
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system_prompt = DEFAULT_SYSTEM_PROMPT
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# Configuración de seguridad
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max_tokens = int(min(max_tokens, 1024))
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prompt = build_prompt(system_prompt, context, history, message)
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@@ -88,73 +87,91 @@ def chat_logic(message, history, system_prompt, context, max_tokens, temperature
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decoded = tokenizer.decode(outputs[0], skip_special_tokens=True)
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# Limpiar la respuesta para no repetir el prompt
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if decoded.startswith(prompt):
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answer = decoded[len(prompt):].strip()
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else:
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# Fallback por si el modelo repite cosas raras
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answer = decoded.split("assistant\n")[-1].strip()
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history.append((message, answer))
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return "", history
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# ==========================================
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# 3.
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# ==========================================
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# CSS corregido para forzar modo claro y estilo Glass
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CSS = """
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@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;600;700&display=swap');
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/* ---
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:root, .dark, body, .gradio-container {
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--body-text-color: #1f2937 !important;
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--body-background-fill: transparent !important;
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--background-fill-primary: transparent !important;
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--background-fill-secondary: transparent !important;
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--block-background-fill: transparent !important;
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--block-border-color:
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--input-background-fill: rgba(255, 255, 255, 0.9) !important;
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--input-border-color: #e5e7eb !important;
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}
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body {
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font-family: 'Inter', sans-serif !important;
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/* Gradiente Pastel de fondo */
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background: radial-gradient(circle at 10% 10%, #ffeef8 0%, #edf6ff 50%, #f7f0ff 90%) !important;
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color: #1f2937 !important;
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margin: 0; padding: 0;
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min-height: 100vh;
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}
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/*
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h1 { font-weight: 700 !important; color: #111827 !important; letter-spacing: -0.02em; }
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p, span, label { color: #4b5563 !important; }
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/* ---
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.config-card {
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background: rgba(255, 255, 255, 0.5) !important;
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border: 1px solid rgba(255, 255, 255, 0.6) !important;
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backdrop-filter: blur(12px);
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border-radius: 24px;
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padding: 24px;
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box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.01);
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}
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/*
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-
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-
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color: #111827 !important;
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border: 1px solid #e5e7eb !important;
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border-radius: 12px !important;
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box-shadow:
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}
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input[type=range] { accent-color: #111827; }
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/* ---
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.chat-window {
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background: rgba(255, 255, 255, 0.
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border: 1px solid rgba(255, 255, 255, 0.
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backdrop-filter: blur(20px);
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border-radius: 24px;
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box-shadow: 0 20px 50px rgba(0,0,0,0.05);
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@@ -162,7 +179,7 @@ input[type=range] { accent-color: #111827; }
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padding: 0 !important;
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}
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/*
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.window-header {
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display: flex; gap: 8px; align-items: center;
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padding: 18px 24px 10px 24px;
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@@ -180,14 +197,14 @@ input[type=range] { accent-color: #111827; }
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height: 550px !important;
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}
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/*
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.message.user {
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background-color: #111827 !important;
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color: white !important;
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border-radius: 18px 18px 4px 18px !important;
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}
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.message.bot {
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background-color: #ffffff !important;
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color: #111827 !important;
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border: 1px solid #e5e7eb !important;
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border-radius: 18px 18px 18px 4px !important;
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@@ -215,7 +232,7 @@ input[type=range] { accent-color: #111827; }
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display: flex; align-items: center; justify-content: center;
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}
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/* Logos
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.trusted-logos {
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opacity: 0.5; filter: grayscale(100%);
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margin-top: 30px; display: flex; gap: 20px;
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@@ -245,28 +262,28 @@ TRUSTED_SECTION = """
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</div>
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"""
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#
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with gr.Blocks(theme=gr.themes.Soft(), css=CSS, title="Custom AI") as demo:
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with gr.Row(elem_id="main-container"):
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# ---
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with gr.Column(scale=4):
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gr.Markdown(
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"""
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# Custom AI Chatbot
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# trained on your data
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"""
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)
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with gr.Group(elem_classes="config-card"):
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gr.Markdown("### ⚙️
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context_input = gr.Textbox(
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label="
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placeholder="
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lines=5
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)
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@@ -277,16 +294,16 @@ with gr.Blocks(theme=gr.themes.Soft(), css=CSS, title="Custom AI") as demo:
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)
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with gr.Row():
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temp_slider = gr.Slider(0.1, 1.5, value=0.7, step=0.1, label="
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tokens_slider = gr.Slider(64, 1024, value=256, step=64, label="Max Tokens")
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top_p_slider = gr.Slider(0.1, 1.0, value=0.9, step=0.05, label="Top-P")
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gr.HTML(TRUSTED_SECTION)
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# ---
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with gr.Column(scale=6):
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#
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with gr.Column(elem_classes="chat-window"):
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gr.HTML(WINDOW_HEADER)
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@@ -309,7 +326,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=CSS, title="Custom AI") as demo:
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)
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send_btn = gr.Button("➝", scale=1, elem_id="send-btn")
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# ---
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inputs_list = [msg, chatbot, system_prompt_input, context_input, tokens_slider, temp_slider, top_p_slider]
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msg.submit(chat_logic, inputs_list, [msg, chatbot])
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# ==========================================
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# 1. MODEL CONFIGURATION
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# ==========================================
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MODEL_ID = "DavidBazaldua/llama3_finetuned_transformes"
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DEVICE = "cpu" # Change to "cuda" if using GPU
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DTYPE = torch.float32
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print(f"Loading model: {MODEL_ID}...")
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tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
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model = AutoModelForCausalLM.from_pretrained(
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MODEL_ID,
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)
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model.to(DEVICE)
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model.eval()
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print("Model loaded successfully.")
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DEFAULT_SYSTEM_PROMPT = (
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"You are a helpful, precise AI assistant. "
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)
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# ==========================================
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# 2. CHAT LOGIC
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# ==========================================
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def build_prompt(system_prompt, context, history, user_message):
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if system_prompt and system_prompt.strip():
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messages.append({"role": "system", "content": system_prompt})
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# 2. Extra Context
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if context and context.strip():
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messages.append({
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"role": "system",
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"content": f"Use the following context if relevant:\n{context}"
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})
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# 3. History
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for user, assistant in history:
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messages.append({"role": "user", "content": user})
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messages.append({"role": "assistant", "content": assistant})
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# 4. Current Message
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messages.append({"role": "user", "content": user_message})
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prompt = tokenizer.apply_chat_template(
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if not system_prompt:
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system_prompt = DEFAULT_SYSTEM_PROMPT
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max_tokens = int(min(max_tokens, 1024))
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prompt = build_prompt(system_prompt, context, history, message)
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decoded = tokenizer.decode(outputs[0], skip_special_tokens=True)
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if decoded.startswith(prompt):
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answer = decoded[len(prompt):].strip()
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else:
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answer = decoded.split("assistant\n")[-1].strip()
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history.append((message, answer))
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return "", history
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# ==========================================
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# 3. UI DESIGN (CSS + LAYOUT)
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# ==========================================
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CSS = """
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@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;600;700&display=swap');
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/* --- GLOBAL RESET & LIGHT THEME ENFORCEMENT --- */
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:root, .dark, body, .gradio-container {
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--body-text-color: #1f2937 !important;
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--background-fill-primary: transparent !important;
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--background-fill-secondary: transparent !important;
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--block-background-fill: transparent !important;
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--block-border-color: transparent !important;
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--input-background-fill: rgba(255, 255, 255, 0.9) !important;
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--input-border-color: #e5e7eb !important;
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--color-accent-soft: transparent !important;
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}
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body {
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font-family: 'Inter', sans-serif !important;
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background: radial-gradient(circle at 10% 10%, #ffeef8 0%, #edf6ff 50%, #f7f0ff 90%) !important;
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color: #1f2937 !important;
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margin: 0; padding: 0;
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min-height: 100vh;
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}
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/* Typography */
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h1 { font-weight: 700 !important; color: #111827 !important; letter-spacing: -0.02em; }
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p, span, label { color: #4b5563 !important; }
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/* --- LEFT PANEL: CONFIG CARD --- */
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.config-card {
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background: rgba(255, 255, 255, 0.5) !important;
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border: 1px solid rgba(255, 255, 255, 0.6) !important;
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backdrop-filter: blur(12px);
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border-radius: 24px;
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padding: 24px !important;
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box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.01);
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}
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/* CRITICAL FIX: Make inner blocks transparent inside the config card */
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.config-card .gr-form,
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.config-card .gr-box,
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.config-card .gr-block,
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.config-card .gr-compact {
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background: transparent !important;
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border: none !important;
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box-shadow: none !important;
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}
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/* Style the Labels (Context, System Prompt, etc.) */
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.config-card label span {
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color: #111827 !important;
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font-weight: 600 !important;
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font-size: 0.85rem !important;
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margin-bottom: 6px !important;
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}
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/* Style the Inputs (White boxes) */
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.config-card textarea,
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.config-card input[type="text"],
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.config-card input[type="number"] {
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background-color: rgba(255, 255, 255, 0.95) !important;
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color: #111827 !important;
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border: 1px solid #e5e7eb !important;
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border-radius: 12px !important;
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box-shadow: 0 1px 2px rgba(0,0,0,0.05) !important;
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}
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/* Sliders Style */
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input[type=range] { accent-color: #111827; }
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/* --- RIGHT PANEL: CHAT WINDOW --- */
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.chat-window {
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background: rgba(255, 255, 255, 0.8) !important;
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border: 1px solid rgba(255, 255, 255, 0.9);
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backdrop-filter: blur(20px);
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border-radius: 24px;
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box-shadow: 0 20px 50px rgba(0,0,0,0.05);
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padding: 0 !important;
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}
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/* Mac-style Header */
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.window-header {
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display: flex; gap: 8px; align-items: center;
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padding: 18px 24px 10px 24px;
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height: 550px !important;
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}
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/* Chat Bubbles */
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.message.user {
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background-color: #111827 !important;
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color: white !important;
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border-radius: 18px 18px 4px 18px !important;
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}
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.message.bot {
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background-color: #ffffff !important;
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color: #111827 !important;
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border: 1px solid #e5e7eb !important;
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border-radius: 18px 18px 18px 4px !important;
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display: flex; align-items: center; justify-content: center;
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}
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/* Logos */
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.trusted-logos {
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opacity: 0.5; filter: grayscale(100%);
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margin-top: 30px; display: flex; gap: 20px;
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</div>
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"""
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# IMPORTANT: Keep theme=gr.themes.Soft() to provide a light base
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with gr.Blocks(theme=gr.themes.Soft(), css=CSS, title="Custom AI") as demo:
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with gr.Row(elem_id="main-container"):
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# --- LEFT COLUMN: Configuration ---
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with gr.Column(scale=4):
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gr.Markdown(
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"""
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# Custom AI Chatbot
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# trained on your data
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Customize the behavior and context of your assistant right here.
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"""
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)
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with gr.Group(elem_classes="config-card"):
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gr.Markdown("### ⚙️ Settings")
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context_input = gr.Textbox(
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label="Context (Data)",
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placeholder="Paste documents, notes, or data here to provide temporary knowledge...",
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lines=5
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)
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| 294 |
)
|
| 295 |
|
| 296 |
with gr.Row():
|
| 297 |
+
temp_slider = gr.Slider(0.1, 1.5, value=0.7, step=0.1, label="Temperature")
|
| 298 |
tokens_slider = gr.Slider(64, 1024, value=256, step=64, label="Max Tokens")
|
| 299 |
|
| 300 |
top_p_slider = gr.Slider(0.1, 1.0, value=0.9, step=0.05, label="Top-P")
|
| 301 |
|
| 302 |
gr.HTML(TRUSTED_SECTION)
|
| 303 |
|
| 304 |
+
# --- RIGHT COLUMN: Chatbot ---
|
| 305 |
with gr.Column(scale=6):
|
| 306 |
+
# Window Container
|
| 307 |
with gr.Column(elem_classes="chat-window"):
|
| 308 |
gr.HTML(WINDOW_HEADER)
|
| 309 |
|
|
|
|
| 326 |
)
|
| 327 |
send_btn = gr.Button("➝", scale=1, elem_id="send-btn")
|
| 328 |
|
| 329 |
+
# --- EVENTS ---
|
| 330 |
inputs_list = [msg, chatbot, system_prompt_input, context_input, tokens_slider, temp_slider, top_p_slider]
|
| 331 |
|
| 332 |
msg.submit(chat_logic, inputs_list, [msg, chatbot])
|