Update app.py
Browse files
app.py
CHANGED
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@@ -11,6 +11,7 @@ import uvicorn
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# ======================
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# CONFIGURACIÓN DE DISPOSITIVO (GPU/CPU)
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# ======================
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if torch.cuda.is_available():
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DEVICE = "cuda"
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print("✅ GPU NVIDIA detectada. Usando CUDA.")
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@@ -23,9 +24,8 @@ MODEL_REPO = "teszenofficial/mtptz"
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# ======================
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# DESCARGA DEL MODELO
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# ======================
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print("--- SISTEMA MTP 1.1 ---")
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print(f"Descargando/Verificando modelo desde {MODEL_REPO}...")
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repo_path = snapshot_download(
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repo_id=MODEL_REPO,
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repo_type="model",
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@@ -34,14 +34,17 @@ repo_path = snapshot_download(
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sys.path.insert(0, repo_path)
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from
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# ======================
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# CARGA DEL MODELO
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# ======================
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print("Cargando modelo en memoria...")
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with open(os.path.join(repo_path, "mtp_mini.pkl"), "rb") as f:
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model_data = pickle.load(f)
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@@ -61,111 +64,20 @@ model = MTPMiniModel(
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dropout=0.0
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)
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model.load_state_dict(model_data["model_state_dict"])
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model.to(DEVICE)
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model.eval()
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print(f"🚀 MTP 1.1 listo y corriendo en: {DEVICE.upper()}")
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# ======================
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#
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# ======================
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TEMPERATURE = 0.7
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TOP_K = 40
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TOP_P = 0.92
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MAX_TOKENS = 150
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REPETITION_PENALTY = 1.2
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SHORT_RESPONSES = [
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"hola", "hey", "buenas", "buenos días", "buenas tardes",
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"buenas noches", "qué tal", "qué onda", "saludos", "holi"
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]
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IDENTITY_QUERIES = [
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"quién eres", "cómo te llamas", "tu nombre",
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"qué eres", "eres ia", "preséntate"
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]
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# ======================
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# GENERACIÓN REAL (FIX)
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# ======================
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def apply_repetition_penalty(logits, input_ids, penalty):
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for token_id in set(input_ids.view(-1).tolist()):
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if logits[0, token_id] > 0:
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logits[0, token_id] /= penalty
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else:
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logits[0, token_id] *= penalty
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return logits
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def generate_response(full_prompt: str):
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lower = full_prompt.lower()
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max_tokens = MAX_TOKENS
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if any(x in lower for x in SHORT_RESPONSES):
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max_tokens = 50
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elif any(x in lower for x in IDENTITY_QUERIES):
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max_tokens = 80
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tokens = [tokenizer.bos_id()] + tokenizer.encode(full_prompt)
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input_ids = torch.tensor([tokens], device=DEVICE)
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generated = []
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with torch.no_grad():
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for _ in range(max_tokens):
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input_cond = input_ids[:, -model.max_seq_len:]
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logits, _ = model(input_cond)
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logits = logits[:, -1, :]
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logits = apply_repetition_penalty(logits, input_ids, REPETITION_PENALTY)
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logits /= TEMPERATURE
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# Top-k
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topk_vals, _ = torch.topk(logits, TOP_K)
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logits[logits < topk_vals[:, -1].unsqueeze(1)] = -float("inf")
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# Top-p
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sorted_logits, sorted_indices = torch.sort(logits, descending=True)
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probs = torch.softmax(sorted_logits, dim=-1)
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cum_probs = torch.cumsum(probs, dim=-1)
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remove = cum_probs > TOP_P
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remove[..., 1:] = remove[..., :-1]
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remove[..., 0] = False
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indices_remove = remove.scatter(1, sorted_indices, remove)
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logits[indices_remove] = -float("inf")
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probs = torch.softmax(logits, dim=-1)
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next_token = torch.multinomial(probs, 1)
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if next_token.item() == tokenizer.eos_id():
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break
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generated.append(next_token.item())
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input_ids = torch.cat([input_ids, next_token], dim=1)
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if len(generated) > 30:
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tail = tokenizer.decode(generated[-5:])
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if any(p in tail for p in [".", "!", "?"]):
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break
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if not generated:
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return "Lo siento, no pude generar una respuesta."
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return tokenizer.decode(generated).strip()
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# ======================
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# FASTAPI
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# ======================
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app = FastAPI(title="MTP 1.1 API")
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class Prompt(BaseModel):
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text: str
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@app.post("/generate")
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def generate(prompt: Prompt):
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user_input = prompt.text.strip()
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@@ -173,19 +85,38 @@ def generate(prompt: Prompt):
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return {"reply": ""}
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full_prompt = f"### Instrucción:\n{user_input}\n\n### Respuesta:\n"
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if "###" in response:
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response = response.split("###")[0].strip()
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return {"reply": response}
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# ======================
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#
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# ======================
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@app.get("/", response_class=HTMLResponse)
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def chat_ui():
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return """
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<html lang="es">
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<head>
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<meta charset="UTF-8">
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600&display=swap" rel="stylesheet">
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<style>
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:root {
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--bg-color: #131314;
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--surface-color: #1E1F20;
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@@ -202,56 +134,499 @@ def chat_ui():
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--text-primary: #e3e3e3;
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--text-secondary: #9aa0a6;
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--user-bubble: #282a2c;
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--logo-url: url('https://i.postimg.cc/yxS54PF3/IMG-3082.jpg');
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}
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</style>
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</head>
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<body>
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<header>
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<div class="brand-
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</header>
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<div id="chatScroll" class="chat-scroll">
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<
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</div>
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<div class="footer-container">
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<div class="input-box">
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<input id="userInput" placeholder="Escribe un mensaje..."
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<button id="mainBtn" onclick="
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<
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</div>
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<script>
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}
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| 249 |
</script>
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| 250 |
</body>
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| 251 |
-
</html>
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| 252 |
|
| 253 |
# ======================
|
| 254 |
# ENTRYPOINT
|
| 255 |
# ======================
|
| 256 |
if __name__ == "__main__":
|
| 257 |
uvicorn.run(app, host="0.0.0.0", port=7860)
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|
| 11 |
# ======================
|
| 12 |
# CONFIGURACIÓN DE DISPOSITIVO (GPU/CPU)
|
| 13 |
# ======================
|
| 14 |
+
# Detectar automáticamente si hay una GPU NVIDIA disponible
|
| 15 |
if torch.cuda.is_available():
|
| 16 |
DEVICE = "cuda"
|
| 17 |
print("✅ GPU NVIDIA detectada. Usando CUDA.")
|
|
|
|
| 24 |
# ======================
|
| 25 |
# DESCARGA DEL MODELO
|
| 26 |
# ======================
|
| 27 |
+
print(f"--- SISTEMA MTP 1.1 ---")
|
| 28 |
print(f"Descargando/Verificando modelo desde {MODEL_REPO}...")
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|
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|
| 29 |
repo_path = snapshot_download(
|
| 30 |
repo_id=MODEL_REPO,
|
| 31 |
repo_type="model",
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|
| 34 |
|
| 35 |
sys.path.insert(0, repo_path)
|
| 36 |
|
| 37 |
+
try:
|
| 38 |
+
from model import MTPMiniModel
|
| 39 |
+
from tokenizer import MTPTokenizer
|
| 40 |
+
except ImportError:
|
| 41 |
+
print("Advertencia: Verifica la estructura de archivos del modelo.")
|
| 42 |
+
pass
|
| 43 |
|
| 44 |
# ======================
|
| 45 |
# CARGA DEL MODELO
|
| 46 |
# ======================
|
| 47 |
print("Cargando modelo en memoria...")
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|
|
|
| 48 |
with open(os.path.join(repo_path, "mtp_mini.pkl"), "rb") as f:
|
| 49 |
model_data = pickle.load(f)
|
| 50 |
|
|
|
|
| 64 |
dropout=0.0
|
| 65 |
)
|
| 66 |
|
| 67 |
+
# Cargar pesos y mover a GPU
|
| 68 |
model.load_state_dict(model_data["model_state_dict"])
|
| 69 |
model.to(DEVICE)
|
| 70 |
model.eval()
|
|
|
|
| 71 |
print(f"🚀 MTP 1.1 listo y corriendo en: {DEVICE.upper()}")
|
| 72 |
|
| 73 |
# ======================
|
| 74 |
+
# API FASTAPI
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|
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|
|
|
|
|
| 75 |
# ======================
|
| 76 |
app = FastAPI(title="MTP 1.1 API")
|
| 77 |
|
| 78 |
class Prompt(BaseModel):
|
| 79 |
text: str
|
| 80 |
|
|
|
|
| 81 |
@app.post("/generate")
|
| 82 |
def generate(prompt: Prompt):
|
| 83 |
user_input = prompt.text.strip()
|
|
|
|
| 85 |
return {"reply": ""}
|
| 86 |
|
| 87 |
full_prompt = f"### Instrucción:\n{user_input}\n\n### Respuesta:\n"
|
| 88 |
+
tokens = [tokenizer.bos_id()] + tokenizer.encode(full_prompt)
|
| 89 |
+
|
| 90 |
+
# IMPORTANTE: Mover los inputs también a la GPU
|
| 91 |
+
input_ids = torch.tensor([tokens], device=DEVICE)
|
| 92 |
+
|
| 93 |
+
with torch.no_grad():
|
| 94 |
+
output_ids = model.generate(
|
| 95 |
+
input_ids,
|
| 96 |
+
max_new_tokens=150,
|
| 97 |
+
temperature=0.7,
|
| 98 |
+
top_k=50,
|
| 99 |
+
top_p=0.9
|
| 100 |
+
)
|
| 101 |
+
|
| 102 |
+
gen_tokens = output_ids[0, len(tokens):].tolist()
|
| 103 |
|
| 104 |
+
if tokenizer.eos_id() in gen_tokens:
|
| 105 |
+
gen_tokens = gen_tokens[:gen_tokens.index(tokenizer.eos_id())]
|
| 106 |
+
|
| 107 |
+
response = tokenizer.decode(gen_tokens).strip()
|
| 108 |
if "###" in response:
|
| 109 |
response = response.split("###")[0].strip()
|
| 110 |
|
| 111 |
return {"reply": response}
|
| 112 |
|
| 113 |
# ======================
|
| 114 |
+
# INTERFAZ WEB (FRONTEND MEJORADO)
|
| 115 |
# ======================
|
| 116 |
@app.get("/", response_class=HTMLResponse)
|
| 117 |
def chat_ui():
|
| 118 |
+
return """
|
| 119 |
+
<!DOCTYPE html>
|
| 120 |
<html lang="es">
|
| 121 |
<head>
|
| 122 |
<meta charset="UTF-8">
|
|
|
|
| 126 |
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
|
| 127 |
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600&display=swap" rel="stylesheet">
|
| 128 |
<style>
|
| 129 |
+
/* --- VARIABLES & THEME --- */
|
| 130 |
:root {
|
| 131 |
--bg-color: #131314;
|
| 132 |
--surface-color: #1E1F20;
|
|
|
|
| 134 |
--text-primary: #e3e3e3;
|
| 135 |
--text-secondary: #9aa0a6;
|
| 136 |
--user-bubble: #282a2c;
|
| 137 |
+
--bot-actions-color: #c4c7c5;
|
| 138 |
--logo-url: url('https://i.postimg.cc/yxS54PF3/IMG-3082.jpg');
|
| 139 |
}
|
| 140 |
+
|
| 141 |
+
* { box-sizing: border-box; outline: none; -webkit-tap-highlight-color: transparent; }
|
| 142 |
+
|
| 143 |
+
body {
|
| 144 |
+
margin: 0;
|
| 145 |
+
background-color: var(--bg-color);
|
| 146 |
+
font-family: 'Inter', sans-serif;
|
| 147 |
+
color: var(--text-primary);
|
| 148 |
+
height: 100dvh;
|
| 149 |
+
display: flex;
|
| 150 |
+
flex-direction: column;
|
| 151 |
+
overflow: hidden;
|
| 152 |
+
}
|
| 153 |
+
|
| 154 |
+
/* --- HEADER --- */
|
| 155 |
+
header {
|
| 156 |
+
padding: 12px 20px;
|
| 157 |
+
display: flex;
|
| 158 |
+
align-items: center;
|
| 159 |
+
justify-content: space-between;
|
| 160 |
+
background: rgba(19, 19, 20, 0.85);
|
| 161 |
+
backdrop-filter: blur(12px);
|
| 162 |
+
position: fixed;
|
| 163 |
+
top: 0;
|
| 164 |
+
width: 100%;
|
| 165 |
+
z-index: 50;
|
| 166 |
+
border-bottom: 1px solid rgba(255,255,255,0.05);
|
| 167 |
+
}
|
| 168 |
+
|
| 169 |
+
.brand-wrapper {
|
| 170 |
+
display: flex;
|
| 171 |
+
align-items: center;
|
| 172 |
+
gap: 12px;
|
| 173 |
+
cursor: pointer;
|
| 174 |
+
}
|
| 175 |
+
|
| 176 |
+
.brand-logo {
|
| 177 |
+
width: 32px;
|
| 178 |
+
height: 32px;
|
| 179 |
+
border-radius: 50%;
|
| 180 |
+
background-image: var(--logo-url);
|
| 181 |
+
background-size: cover;
|
| 182 |
+
background-position: center;
|
| 183 |
+
border: 1px solid rgba(255,255,255,0.1);
|
| 184 |
+
}
|
| 185 |
+
|
| 186 |
+
.brand-text {
|
| 187 |
+
font-weight: 500;
|
| 188 |
+
font-size: 1.05rem;
|
| 189 |
+
display: flex;
|
| 190 |
+
align-items: center;
|
| 191 |
+
gap: 8px;
|
| 192 |
+
}
|
| 193 |
+
|
| 194 |
+
.version-badge {
|
| 195 |
+
font-size: 0.75rem;
|
| 196 |
+
background: rgba(74, 158, 255, 0.15);
|
| 197 |
+
color: #8ab4f8;
|
| 198 |
+
padding: 2px 8px;
|
| 199 |
+
border-radius: 12px;
|
| 200 |
+
font-weight: 600;
|
| 201 |
+
}
|
| 202 |
+
|
| 203 |
+
/* --- CHAT AREA --- */
|
| 204 |
+
.chat-scroll {
|
| 205 |
+
flex: 1;
|
| 206 |
+
overflow-y: auto;
|
| 207 |
+
padding: 80px 20px 40px 20px;
|
| 208 |
+
display: flex;
|
| 209 |
+
flex-direction: column;
|
| 210 |
+
gap: 30px;
|
| 211 |
+
max-width: 850px;
|
| 212 |
+
margin: 0 auto;
|
| 213 |
+
width: 100%;
|
| 214 |
+
scroll-behavior: smooth;
|
| 215 |
+
}
|
| 216 |
+
|
| 217 |
+
/* Filas de Mensaje */
|
| 218 |
+
.msg-row {
|
| 219 |
+
display: flex;
|
| 220 |
+
gap: 16px;
|
| 221 |
+
width: 100%;
|
| 222 |
+
opacity: 0;
|
| 223 |
+
transform: translateY(10px);
|
| 224 |
+
animation: slideUpFade 0.4s cubic-bezier(0.2, 0.8, 0.2, 1) forwards;
|
| 225 |
+
}
|
| 226 |
+
|
| 227 |
+
.msg-row.user { justify-content: flex-end; }
|
| 228 |
+
.msg-row.bot { justify-content: flex-start; align-items: flex-start; }
|
| 229 |
+
|
| 230 |
+
/* Contenido */
|
| 231 |
+
.msg-content {
|
| 232 |
+
line-height: 1.6;
|
| 233 |
+
font-size: 1rem;
|
| 234 |
+
word-wrap: break-word;
|
| 235 |
+
max-width: 85%;
|
| 236 |
+
}
|
| 237 |
+
|
| 238 |
+
.user .msg-content {
|
| 239 |
+
background-color: var(--user-bubble);
|
| 240 |
+
padding: 10px 18px;
|
| 241 |
+
border-radius: 18px;
|
| 242 |
+
border-top-right-radius: 4px;
|
| 243 |
+
color: #fff;
|
| 244 |
+
}
|
| 245 |
+
|
| 246 |
+
.bot .msg-content-wrapper {
|
| 247 |
+
display: flex;
|
| 248 |
+
flex-direction: column;
|
| 249 |
+
gap: 8px;
|
| 250 |
+
width: 100%;
|
| 251 |
+
}
|
| 252 |
+
|
| 253 |
+
.bot .msg-text {
|
| 254 |
+
padding-top: 6px;
|
| 255 |
+
color: var(--text-primary);
|
| 256 |
+
}
|
| 257 |
+
|
| 258 |
+
/* Avatar Bot */
|
| 259 |
+
.bot-avatar {
|
| 260 |
+
width: 34px;
|
| 261 |
+
height: 34px;
|
| 262 |
+
min-width: 34px;
|
| 263 |
+
border-radius: 50%;
|
| 264 |
+
background-image: var(--logo-url);
|
| 265 |
+
background-size: cover;
|
| 266 |
+
box-shadow: 0 2px 6px rgba(0,0,0,0.2);
|
| 267 |
+
}
|
| 268 |
+
|
| 269 |
+
/* Acciones Bot */
|
| 270 |
+
.bot-actions {
|
| 271 |
+
display: flex;
|
| 272 |
+
gap: 10px;
|
| 273 |
+
opacity: 0;
|
| 274 |
+
transition: opacity 0.3s;
|
| 275 |
+
margin-top: 5px;
|
| 276 |
+
}
|
| 277 |
+
|
| 278 |
+
.action-btn {
|
| 279 |
+
background: transparent;
|
| 280 |
+
border: none;
|
| 281 |
+
color: var(--text-secondary);
|
| 282 |
+
cursor: pointer;
|
| 283 |
+
padding: 4px;
|
| 284 |
+
border-radius: 4px;
|
| 285 |
+
display: flex;
|
| 286 |
+
align-items: center;
|
| 287 |
+
transition: color 0.2s, background 0.2s;
|
| 288 |
+
}
|
| 289 |
+
|
| 290 |
+
.action-btn:hover {
|
| 291 |
+
color: var(--text-primary);
|
| 292 |
+
background: rgba(255,255,255,0.08);
|
| 293 |
+
}
|
| 294 |
+
|
| 295 |
+
.action-btn svg { width: 16px; height: 16px; fill: currentColor; }
|
| 296 |
+
|
| 297 |
+
/* Efecto Escritura (BOLITA AZUL) */
|
| 298 |
+
.typing-cursor::after {
|
| 299 |
+
content: '';
|
| 300 |
+
display: inline-block;
|
| 301 |
+
width: 10px;
|
| 302 |
+
height: 10px;
|
| 303 |
+
background: var(--accent-color);
|
| 304 |
+
border-radius: 50%;
|
| 305 |
+
margin-left: 5px;
|
| 306 |
+
vertical-align: middle;
|
| 307 |
+
animation: blink 1s infinite;
|
| 308 |
+
}
|
| 309 |
+
|
| 310 |
+
/* --- FOOTER & INPUT --- */
|
| 311 |
+
.footer-container {
|
| 312 |
+
padding: 0 20px 20px 20px;
|
| 313 |
+
background: linear-gradient(to top, var(--bg-color) 85%, transparent);
|
| 314 |
+
position: relative;
|
| 315 |
+
z-index: 60;
|
| 316 |
+
}
|
| 317 |
+
|
| 318 |
+
.input-box {
|
| 319 |
+
max-width: 850px;
|
| 320 |
+
margin: 0 auto;
|
| 321 |
+
background: var(--surface-color);
|
| 322 |
+
border-radius: 28px;
|
| 323 |
+
padding: 8px 10px 8px 20px;
|
| 324 |
+
display: flex;
|
| 325 |
+
align-items: center;
|
| 326 |
+
border: 1px solid rgba(255,255,255,0.1);
|
| 327 |
+
transition: border-color 0.2s, box-shadow 0.2s;
|
| 328 |
+
}
|
| 329 |
+
|
| 330 |
+
.input-box:focus-within {
|
| 331 |
+
border-color: rgba(74, 158, 255, 0.5);
|
| 332 |
+
box-shadow: 0 0 0 2px rgba(74, 158, 255, 0.1);
|
| 333 |
+
}
|
| 334 |
+
|
| 335 |
+
#userInput {
|
| 336 |
+
flex: 1;
|
| 337 |
+
background: transparent;
|
| 338 |
+
border: none;
|
| 339 |
+
color: white;
|
| 340 |
+
font-size: 1rem;
|
| 341 |
+
font-family: inherit;
|
| 342 |
+
padding: 10px 0;
|
| 343 |
+
}
|
| 344 |
+
|
| 345 |
+
#mainBtn {
|
| 346 |
+
background: white;
|
| 347 |
+
color: black;
|
| 348 |
+
border: none;
|
| 349 |
+
width: 36px;
|
| 350 |
+
height: 36px;
|
| 351 |
+
border-radius: 50%;
|
| 352 |
+
display: flex;
|
| 353 |
+
align-items: center;
|
| 354 |
+
justify-content: center;
|
| 355 |
+
cursor: pointer;
|
| 356 |
+
margin-left: 8px;
|
| 357 |
+
transition: transform 0.2s;
|
| 358 |
+
}
|
| 359 |
+
|
| 360 |
+
#mainBtn:hover { transform: scale(1.05); }
|
| 361 |
+
|
| 362 |
+
.disclaimer {
|
| 363 |
+
text-align: center;
|
| 364 |
+
font-size: 0.75rem;
|
| 365 |
+
color: #666;
|
| 366 |
+
margin-top: 12px;
|
| 367 |
+
}
|
| 368 |
+
|
| 369 |
+
/* --- ANIMACIONES --- */
|
| 370 |
+
@keyframes slideUpFade {
|
| 371 |
+
from { opacity: 0; transform: translateY(15px); }
|
| 372 |
+
to { opacity: 1; transform: translateY(0); }
|
| 373 |
+
}
|
| 374 |
+
|
| 375 |
+
@keyframes blink { 0%, 100% { opacity: 1; } 50% { opacity: 0; } }
|
| 376 |
+
|
| 377 |
+
@keyframes pulseAvatar {
|
| 378 |
+
0% { box-shadow: 0 0 0 0 rgba(74, 158, 255, 0.4); }
|
| 379 |
+
70% { box-shadow: 0 0 0 8px rgba(74, 158, 255, 0); }
|
| 380 |
+
100% { box-shadow: 0 0 0 0 rgba(74, 158, 255, 0); }
|
| 381 |
+
}
|
| 382 |
+
|
| 383 |
+
.pulsing { animation: pulseAvatar 1.5s infinite; }
|
| 384 |
+
|
| 385 |
+
::-webkit-scrollbar { width: 8px; }
|
| 386 |
+
::-webkit-scrollbar-track { background: transparent; }
|
| 387 |
+
::-webkit-scrollbar-thumb { background: #333; border-radius: 4px; }
|
| 388 |
+
|
| 389 |
</style>
|
| 390 |
</head>
|
| 391 |
<body>
|
| 392 |
+
|
| 393 |
<header>
|
| 394 |
+
<div class="brand-wrapper" onclick="location.reload()">
|
| 395 |
+
<div class="brand-logo"></div>
|
| 396 |
+
<div class="brand-text">
|
| 397 |
+
MTP <span class="version-badge">1.1</span>
|
| 398 |
+
</div>
|
| 399 |
+
</div>
|
| 400 |
</header>
|
| 401 |
+
|
| 402 |
<div id="chatScroll" class="chat-scroll">
|
| 403 |
+
<!-- Bienvenida -->
|
| 404 |
+
<div class="msg-row bot" style="animation-delay: 0.1s;">
|
| 405 |
+
<div class="bot-avatar"></div>
|
| 406 |
+
<div class="msg-content-wrapper">
|
| 407 |
+
<div class="msg-text">
|
| 408 |
+
¡Hola! Soy MTP 1.1. ¿En qué puedo ayudarte hoy?
|
| 409 |
+
</div>
|
| 410 |
+
</div>
|
| 411 |
+
</div>
|
| 412 |
</div>
|
| 413 |
+
|
| 414 |
<div class="footer-container">
|
| 415 |
+
<div class="input-box">
|
| 416 |
+
<input type="text" id="userInput" placeholder="Escribe un mensaje..." autocomplete="off">
|
| 417 |
+
<button id="mainBtn" onclick="handleBtnClick()">
|
| 418 |
+
<!-- Icono dinámico -->
|
| 419 |
+
</button>
|
| 420 |
+
</div>
|
| 421 |
+
<div class="disclaimer">
|
| 422 |
+
MTP puede cometer errores. Considera verificar la información importante.
|
| 423 |
+
</div>
|
| 424 |
</div>
|
| 425 |
+
|
| 426 |
<script>
|
| 427 |
+
const chatScroll = document.getElementById('chatScroll');
|
| 428 |
+
const userInput = document.getElementById('userInput');
|
| 429 |
+
const mainBtn = document.getElementById('mainBtn');
|
| 430 |
+
|
| 431 |
+
// Variables de Estado
|
| 432 |
+
let isGenerating = false;
|
| 433 |
+
let abortController = null;
|
| 434 |
+
let typingTimeout = null;
|
| 435 |
+
let lastUserPrompt = "";
|
| 436 |
+
|
| 437 |
+
// Iconos SVG
|
| 438 |
+
const ICON_SEND = `<svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M22 2L11 13M22 2l-7 20-4-9-9-4 20-7z"></path></svg>`;
|
| 439 |
+
const ICON_STOP = `<svg width="14" height="14" viewBox="0 0 24 24" fill="currentColor" stroke="currentColor" stroke-width="0"><rect x="2" y="2" width="20" height="20" rx="4" ry="4"></rect></svg>`;
|
| 440 |
+
|
| 441 |
+
// Inicial
|
| 442 |
+
mainBtn.innerHTML = ICON_SEND;
|
| 443 |
+
|
| 444 |
+
// --- UTILS ---
|
| 445 |
+
function scrollToBottom() {
|
| 446 |
+
chatScroll.scrollTop = chatScroll.scrollHeight;
|
| 447 |
+
}
|
| 448 |
+
|
| 449 |
+
function setBtnState(state) {
|
| 450 |
+
if (state === 'sending') {
|
| 451 |
+
mainBtn.innerHTML = ICON_STOP;
|
| 452 |
+
isGenerating = true;
|
| 453 |
+
} else {
|
| 454 |
+
mainBtn.innerHTML = ICON_SEND;
|
| 455 |
+
isGenerating = false;
|
| 456 |
+
abortController = null;
|
| 457 |
+
}
|
| 458 |
}
|
| 459 |
+
|
| 460 |
+
// --- CORE ---
|
| 461 |
+
|
| 462 |
+
function handleBtnClick() {
|
| 463 |
+
if (isGenerating) {
|
| 464 |
+
stopGeneration();
|
| 465 |
+
} else {
|
| 466 |
+
sendMessage();
|
| 467 |
+
}
|
| 468 |
+
}
|
| 469 |
+
|
| 470 |
+
function stopGeneration() {
|
| 471 |
+
if (abortController) abortController.abort();
|
| 472 |
+
if (typingTimeout) clearTimeout(typingTimeout);
|
| 473 |
+
|
| 474 |
+
// UI Limpieza
|
| 475 |
+
const activeCursor = document.querySelector('.typing-cursor');
|
| 476 |
+
if (activeCursor) activeCursor.classList.remove('typing-cursor');
|
| 477 |
+
|
| 478 |
+
const activeAvatar = document.querySelector('.pulsing');
|
| 479 |
+
if (activeAvatar) activeAvatar.classList.remove('pulsing');
|
| 480 |
+
|
| 481 |
+
setBtnState('idle');
|
| 482 |
+
userInput.focus();
|
| 483 |
+
}
|
| 484 |
+
|
| 485 |
+
async function sendMessage(textOverride = null) {
|
| 486 |
+
const text = textOverride || userInput.value.trim();
|
| 487 |
+
if (!text) return;
|
| 488 |
+
|
| 489 |
+
lastUserPrompt = text;
|
| 490 |
+
|
| 491 |
+
if (!textOverride) {
|
| 492 |
+
userInput.value = '';
|
| 493 |
+
addMessage(text, 'user');
|
| 494 |
+
}
|
| 495 |
+
|
| 496 |
+
setBtnState('sending');
|
| 497 |
+
abortController = new AbortController();
|
| 498 |
+
|
| 499 |
+
// Bot Placeholder
|
| 500 |
+
const botRow = document.createElement('div');
|
| 501 |
+
botRow.className = 'msg-row bot';
|
| 502 |
+
|
| 503 |
+
const avatar = document.createElement('div');
|
| 504 |
+
avatar.className = 'bot-avatar pulsing';
|
| 505 |
+
|
| 506 |
+
const wrapper = document.createElement('div');
|
| 507 |
+
wrapper.className = 'msg-content-wrapper';
|
| 508 |
+
|
| 509 |
+
const msgText = document.createElement('div');
|
| 510 |
+
msgText.className = 'msg-text';
|
| 511 |
+
|
| 512 |
+
wrapper.appendChild(msgText);
|
| 513 |
+
botRow.appendChild(avatar);
|
| 514 |
+
botRow.appendChild(wrapper);
|
| 515 |
+
chatScroll.appendChild(botRow);
|
| 516 |
+
scrollToBottom();
|
| 517 |
+
|
| 518 |
+
try {
|
| 519 |
+
const response = await fetch('/generate', {
|
| 520 |
+
method: 'POST',
|
| 521 |
+
headers: { 'Content-Type': 'application/json' },
|
| 522 |
+
body: JSON.stringify({ text: text }),
|
| 523 |
+
signal: abortController.signal
|
| 524 |
+
});
|
| 525 |
+
|
| 526 |
+
const data = await response.json();
|
| 527 |
+
|
| 528 |
+
if (!isGenerating) return;
|
| 529 |
+
|
| 530 |
+
avatar.classList.remove('pulsing');
|
| 531 |
+
const reply = data.reply || "No entendí eso.";
|
| 532 |
+
|
| 533 |
+
await typeWriter(msgText, reply);
|
| 534 |
+
|
| 535 |
+
if (isGenerating) {
|
| 536 |
+
addActions(wrapper, reply);
|
| 537 |
+
setBtnState('idle');
|
| 538 |
+
}
|
| 539 |
+
|
| 540 |
+
} catch (error) {
|
| 541 |
+
if (error.name === 'AbortError') {
|
| 542 |
+
msgText.textContent += " [Detenido]";
|
| 543 |
+
} else {
|
| 544 |
+
avatar.classList.remove('pulsing');
|
| 545 |
+
msgText.textContent = "Error de conexión.";
|
| 546 |
+
msgText.style.color = "#ff8b8b";
|
| 547 |
+
setBtnState('idle');
|
| 548 |
+
}
|
| 549 |
+
}
|
| 550 |
+
}
|
| 551 |
+
|
| 552 |
+
function addMessage(text, sender) {
|
| 553 |
+
const row = document.createElement('div');
|
| 554 |
+
row.className = `msg-row ${sender}`;
|
| 555 |
+
const content = document.createElement('div');
|
| 556 |
+
content.className = 'msg-content';
|
| 557 |
+
content.textContent = text;
|
| 558 |
+
row.appendChild(content);
|
| 559 |
+
chatScroll.appendChild(row);
|
| 560 |
+
scrollToBottom();
|
| 561 |
+
}
|
| 562 |
+
|
| 563 |
+
function typeWriter(element, text, speed = 12) {
|
| 564 |
+
return new Promise(resolve => {
|
| 565 |
+
let i = 0;
|
| 566 |
+
element.classList.add('typing-cursor');
|
| 567 |
+
|
| 568 |
+
function type() {
|
| 569 |
+
if (!isGenerating) {
|
| 570 |
+
element.classList.remove('typing-cursor');
|
| 571 |
+
resolve();
|
| 572 |
+
return;
|
| 573 |
+
}
|
| 574 |
+
|
| 575 |
+
if (i < text.length) {
|
| 576 |
+
element.textContent += text.charAt(i);
|
| 577 |
+
i++;
|
| 578 |
+
scrollToBottom();
|
| 579 |
+
typingTimeout = setTimeout(type, speed + Math.random() * 5);
|
| 580 |
+
} else {
|
| 581 |
+
element.classList.remove('typing-cursor');
|
| 582 |
+
resolve();
|
| 583 |
+
}
|
| 584 |
+
}
|
| 585 |
+
type();
|
| 586 |
+
});
|
| 587 |
+
}
|
| 588 |
+
|
| 589 |
+
function addActions(wrapperElement, textToCopy) {
|
| 590 |
+
const actionsDiv = document.createElement('div');
|
| 591 |
+
actionsDiv.className = 'bot-actions';
|
| 592 |
+
|
| 593 |
+
const copyBtn = document.createElement('button');
|
| 594 |
+
copyBtn.className = 'action-btn';
|
| 595 |
+
copyBtn.innerHTML = `<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><rect x="9" y="9" width="13" height="13" rx="2" ry="2"></rect><path d="M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1"></path></svg>`;
|
| 596 |
+
copyBtn.onclick = () => {
|
| 597 |
+
navigator.clipboard.writeText(textToCopy);
|
| 598 |
+
};
|
| 599 |
+
|
| 600 |
+
const regenBtn = document.createElement('button');
|
| 601 |
+
regenBtn.className = 'action-btn';
|
| 602 |
+
regenBtn.innerHTML = `<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M23 4v6h-6"></path><path d="M1 20v-6h6"></path><path d="M3.51 9a9 9 0 0 1 14.85-3.36L23 10M1 14l4.64 4.36A9 9 0 0 0 20.49 15"></path></svg>`;
|
| 603 |
+
regenBtn.onclick = () => {
|
| 604 |
+
sendMessage(lastUserPrompt);
|
| 605 |
+
};
|
| 606 |
+
|
| 607 |
+
actionsDiv.appendChild(copyBtn);
|
| 608 |
+
actionsDiv.appendChild(regenBtn);
|
| 609 |
+
wrapperElement.appendChild(actionsDiv);
|
| 610 |
+
|
| 611 |
+
requestAnimationFrame(() => actionsDiv.style.opacity = "1");
|
| 612 |
+
scrollToBottom();
|
| 613 |
+
}
|
| 614 |
+
|
| 615 |
+
userInput.addEventListener('keydown', (e) => {
|
| 616 |
+
if (e.key === 'Enter') handleBtnClick();
|
| 617 |
+
});
|
| 618 |
+
|
| 619 |
+
window.onload = () => userInput.focus();
|
| 620 |
+
|
| 621 |
</script>
|
| 622 |
</body>
|
| 623 |
+
</html>
|
| 624 |
+
"""
|
| 625 |
|
| 626 |
# ======================
|
| 627 |
# ENTRYPOINT
|
| 628 |
# ======================
|
| 629 |
if __name__ == "__main__":
|
| 630 |
uvicorn.run(app, host="0.0.0.0", port=7860)
|
| 631 |
+
|
| 632 |
+
|