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Update app.py
Browse files
app.py
CHANGED
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@@ -1,6 +1,7 @@
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import os
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import re
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import threading
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import warnings
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import gradio as gr
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from llama_cpp import Llama
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@@ -26,8 +27,6 @@ if not os.path.exists(MODEL_PATH):
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print("✅ Modèle téléchargé avec succès!")
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except Exception as e:
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print(f"❌ Erreur téléchargement: {e}")
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-
# Fallback: utiliser un modèle plus petit
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MODEL_NAME = "Alisia-7B-it.Q4_K_M.gguf" # ou un plus petit si disponible
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# -------------------------
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# CONFIGURATION LLAMA.CPP
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@@ -38,12 +37,12 @@ warnings.filterwarnings("ignore")
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print("⚡ Chargement du modèle avec llama.cpp...")
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llm = Llama(
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model_path=MODEL_PATH,
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n_ctx=4096,
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n_gpu_layers=0,
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n_threads=8,
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n_batch=512,
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verbose=False,
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use_mlock=True
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)
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print("✅ Modèle chargé et prêt!")
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@@ -85,7 +84,6 @@ def build_conversation_prompt(history, new_message):
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def send_message_stream(user_message, displayed_history, current_chat_name):
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global stop_generation
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-
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stop_generation.clear()
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if not user_message or not str(user_message).strip():
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@@ -100,20 +98,24 @@ def send_message_stream(user_message, displayed_history, current_chat_name):
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local_hist.append((str(user_message), ""))
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yield local_hist, ""
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# Prompt optimisé
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formatted_prompt = build_conversation_prompt(local_hist[:-1], str(user_message))
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-
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partial = ""
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try:
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# Génération avec paramètres optimisés
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stream = llm.create_completion(
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prompt=formatted_prompt,
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-
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temperature=0.7,
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top_p=0.9,
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repeat_penalty=1.1,
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stop=["### Instruction:", "### Response:", "\n\n"
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stream=True
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)
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for chunk in stream:
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@@ -124,9 +126,27 @@ def send_message_stream(user_message, displayed_history, current_chat_name):
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token = chunk["choices"][0].get("text", "")
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if token:
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partial += token
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-
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except Exception as e:
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err_text = f"[Erreur: {e}]"
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@@ -138,6 +158,34 @@ def send_message_stream(user_message, displayed_history, current_chat_name):
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conversations[current_chat_name] = local_hist.copy()
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yield local_hist, ""
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# -------------------------
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# INTERFACE GRADIO OPTIMISÉE
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# -------------------------
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@@ -149,13 +197,62 @@ css = """
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--input-bg: #1e293b;
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}
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#chatbot {
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flex-grow: 1;
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height: 600px
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background: var(--chat-bg);
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border-radius: 16px;
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padding: 20px;
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overflow-y: auto;
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}
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#input-container {
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@@ -173,37 +270,195 @@ css = """
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border-radius: 24px;
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padding: 16px 20px;
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font-size: 16px;
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}
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"""
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with gr.Blocks(css=css, title="Alisia Chat - Ultra Rapide", theme=gr.themes.Soft()) as demo:
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gr.
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gr.
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with gr.Row():
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with gr.Row():
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-
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-
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send_btn.click(
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fn=
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inputs=None,
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outputs=[send_btn, stop_btn],
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queue=False
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).then(
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fn=send_message_stream,
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inputs=[msg_input, chatbot,
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outputs=[chatbot, msg_input],
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queue=True
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).then(
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)
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msg_input.submit(
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fn=
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inputs=None,
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outputs=[send_btn, stop_btn],
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queue=False
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).then(
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fn=send_message_stream,
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inputs=[msg_input, chatbot,
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outputs=[chatbot, msg_input],
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queue=True
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).then(
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)
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stop_btn.click(
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fn=
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inputs=None,
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outputs=None
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)
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# LANCEMENT
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# -------------------------
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if __name__ == "__main__":
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print("🚀 Lancement de l'interface
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demo.launch(
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share=True,
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server_name="0.0.0.0",
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server_port=7860,
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debug=False
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)
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import os
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import re
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import threading
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import time
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import warnings
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import gradio as gr
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from llama_cpp import Llama
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print("✅ Modèle téléchargé avec succès!")
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except Exception as e:
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print(f"❌ Erreur téléchargement: {e}")
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# -------------------------
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# CONFIGURATION LLAMA.CPP
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print("⚡ Chargement du modèle avec llama.cpp...")
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llm = Llama(
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model_path=MODEL_PATH,
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n_ctx=4096,
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n_gpu_layers=0,
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n_threads=8,
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n_batch=512,
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verbose=False,
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use_mlock=True
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)
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print("✅ Modèle chargé et prêt!")
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def send_message_stream(user_message, displayed_history, current_chat_name):
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global stop_generation
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stop_generation.clear()
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if not user_message or not str(user_message).strip():
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local_hist.append((str(user_message), ""))
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yield local_hist, ""
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formatted_prompt = build_conversation_prompt(local_hist[:-1], str(user_message))
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partial = ""
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# PARAMÈTRES DE RÉACTIVITÉ HYBRIDE
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last_update = time.time()
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token_count = 0
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min_tokens = 2 # Minimum de tokens avant update
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max_delay = 0.12 # Maximum 120ms entre updates
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try:
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stream = llm.create_completion(
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prompt=formatted_prompt,
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stream=True,
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max_tokens=1024,
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temperature=0.7,
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top_p=0.9,
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repeat_penalty=1.1,
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stop=["### Instruction:", "### Response:", "\n\n", "<|endoftext|>"]
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)
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for chunk in stream:
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token = chunk["choices"][0].get("text", "")
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if token:
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partial += token
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token_count += 1
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# STRATÉGIE DE RÉACTIVITÉ HYBRIDE
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should_update = (
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token_count >= min_tokens or
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time.time() - last_update > max_delay or
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token in [".", "!", "?", "\n", ",", ";", ":"]
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)
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if should_update:
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cleaned = clean_output(partial)
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local_hist[-1] = (str(user_message), cleaned)
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yield local_hist, ""
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last_update = time.time()
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token_count = 0
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# DERNIER FLUSH - Garantit que tout est affiché
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if partial:
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cleaned = clean_output(partial)
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local_hist[-1] = (str(user_message), cleaned)
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yield local_hist, ""
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except Exception as e:
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err_text = f"[Erreur: {e}]"
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conversations[current_chat_name] = local_hist.copy()
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yield local_hist, ""
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# -------------------------
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# FONCTIONS POUR L'INTERFACE
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# -------------------------
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def toggle_history(visible_state):
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new_state = not bool(visible_state)
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return new_state, gr.update(visible=new_state)
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def new_conversation():
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with lock:
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name = f"Conversation {len(conversations) + 1}"
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conversations[name] = []
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names = list(conversations.keys())
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return gr.update(choices=names, value=name), [], name
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def load_conversation(conv_name):
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with lock:
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hist = conversations.get(conv_name, []).copy()
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return hist, conv_name
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def request_stop():
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stop_generation.set()
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return "🛑 Arrêt demandé..."
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def clear_chat():
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with lock:
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conversations["Conversation 1"] = []
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return [], "Conversation 1"
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# -------------------------
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# INTERFACE GRADIO OPTIMISÉE
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# -------------------------
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--input-bg: #1e293b;
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}
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#topbar {
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display: flex;
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align-items: center;
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gap: 12px;
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padding: 10px;
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background: var(--chat-bg);
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color: #fff;
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border-bottom: 1px solid #334155;
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}
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#leftcol {
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background: #111218;
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color: #fff;
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padding: 12px;
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min-height: 520px;
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border-right: 1px solid #334155;
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transition: all 0.3s ease;
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}
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#chatcol {
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padding: 12px;
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height: 100%;
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display: flex;
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flex-direction: column;
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}
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.hamburger {
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font-size: 20px;
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background: transparent;
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color: #fff;
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border: none;
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cursor: pointer;
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padding: 8px;
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border-radius: 50%;
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transition: background 0.2s;
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}
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.hamburger:hover {
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background: #334155;
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}
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| 241 |
+
#chat-container {
|
| 242 |
+
flex-grow: 1;
|
| 243 |
+
display: flex;
|
| 244 |
+
flex-direction: column;
|
| 245 |
+
height: 100%;
|
| 246 |
+
}
|
| 247 |
+
|
| 248 |
#chatbot {
|
| 249 |
flex-grow: 1;
|
| 250 |
+
height: 600px;
|
| 251 |
background: var(--chat-bg);
|
| 252 |
border-radius: 16px;
|
| 253 |
padding: 20px;
|
| 254 |
overflow-y: auto;
|
| 255 |
+
border: 1px solid #334155;
|
| 256 |
}
|
| 257 |
|
| 258 |
#input-container {
|
|
|
|
| 270 |
border-radius: 24px;
|
| 271 |
padding: 16px 20px;
|
| 272 |
font-size: 16px;
|
| 273 |
+
box-shadow: inset 0 2px 4px rgba(0, 0, 0, 0.1);
|
| 274 |
+
}
|
| 275 |
+
|
| 276 |
+
#msg_input:focus {
|
| 277 |
+
outline: none;
|
| 278 |
+
border-color: var(--primary-color);
|
| 279 |
+
box-shadow: 0 0 0 3px rgba(79, 70, 229, 0.2);
|
| 280 |
+
}
|
| 281 |
+
|
| 282 |
+
#send_btn {
|
| 283 |
+
background: var(--primary-color);
|
| 284 |
+
color: white;
|
| 285 |
+
border: none;
|
| 286 |
+
border-radius: 24px;
|
| 287 |
+
padding: 14px 20px;
|
| 288 |
+
height: 50px;
|
| 289 |
+
min-width: 80px;
|
| 290 |
+
font-weight: 600;
|
| 291 |
+
cursor: pointer;
|
| 292 |
+
transition: background 0.2s;
|
| 293 |
+
}
|
| 294 |
+
|
| 295 |
+
#send_btn:hover {
|
| 296 |
+
background: var(--primary-hover);
|
| 297 |
+
}
|
| 298 |
+
|
| 299 |
+
#stop_btn {
|
| 300 |
+
background: #ef4444;
|
| 301 |
+
color: white;
|
| 302 |
+
border: none;
|
| 303 |
+
border-radius: 24px;
|
| 304 |
+
padding: 14px 20px;
|
| 305 |
+
height: 50px;
|
| 306 |
+
min-width: 80px;
|
| 307 |
+
font-weight: 600;
|
| 308 |
+
cursor: pointer;
|
| 309 |
+
transition: background 0.2s;
|
| 310 |
+
}
|
| 311 |
+
|
| 312 |
+
#stop_btn:hover {
|
| 313 |
+
background: #dc2626;
|
| 314 |
+
}
|
| 315 |
+
|
| 316 |
+
.conversation-list {
|
| 317 |
+
margin-top: 20px;
|
| 318 |
+
max-height: 400px;
|
| 319 |
+
overflow-y: auto;
|
| 320 |
+
}
|
| 321 |
+
|
| 322 |
+
.conversation-item {
|
| 323 |
+
padding: 12px 16px;
|
| 324 |
+
border-radius: 12px;
|
| 325 |
+
margin-bottom: 8px;
|
| 326 |
+
cursor: pointer;
|
| 327 |
+
transition: background 0.2s;
|
| 328 |
+
}
|
| 329 |
+
|
| 330 |
+
.conversation-item:hover {
|
| 331 |
+
background: #1e293b;
|
| 332 |
+
}
|
| 333 |
+
|
| 334 |
+
.conversation-item.active {
|
| 335 |
+
background: var(--primary-color);
|
| 336 |
+
color: white;
|
| 337 |
+
}
|
| 338 |
+
|
| 339 |
+
.alisia-badge {
|
| 340 |
+
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
| 341 |
+
color: white;
|
| 342 |
+
padding: 4px 8px;
|
| 343 |
+
border-radius: 12px;
|
| 344 |
+
font-size: 12px;
|
| 345 |
+
font-weight: bold;
|
| 346 |
+
margin-left: 8px;
|
| 347 |
+
}
|
| 348 |
+
|
| 349 |
+
.clear-btn {
|
| 350 |
+
background: #94a3b8;
|
| 351 |
+
color: white;
|
| 352 |
+
border: none;
|
| 353 |
+
border-radius: 12px;
|
| 354 |
+
padding: 10px 16px;
|
| 355 |
+
margin-top: 10px;
|
| 356 |
+
cursor: pointer;
|
| 357 |
+
}
|
| 358 |
+
|
| 359 |
+
.clear-btn:hover {
|
| 360 |
+
background: #64748b;
|
| 361 |
}
|
| 362 |
"""
|
| 363 |
|
| 364 |
with gr.Blocks(css=css, title="Alisia Chat - Ultra Rapide", theme=gr.themes.Soft()) as demo:
|
| 365 |
+
history_visible = gr.State(True)
|
| 366 |
+
current_chat = gr.State("Conversation 1")
|
| 367 |
+
|
| 368 |
+
with gr.Row(elem_id="topbar"):
|
| 369 |
+
menu_btn = gr.Button("☰", elem_classes="hamburger")
|
| 370 |
+
gr.Markdown("### 💬 Alisia <span class='alisia-badge'>AI Assistant</span>", elem_id="title")
|
| 371 |
+
gr.HTML("<div style='flex:1'></div>")
|
| 372 |
+
gr.Markdown("<small style='color:#94a3b8'>llama.cpp optimisé</small>")
|
| 373 |
+
|
| 374 |
with gr.Row():
|
| 375 |
+
with gr.Column(scale=1, visible=True, elem_id="leftcol") as left_column:
|
| 376 |
+
with gr.Column(elem_classes="conversation-list"):
|
| 377 |
+
conv_dropdown = gr.Dropdown(
|
| 378 |
+
choices=get_conv_names(),
|
| 379 |
+
value="Conversation 1",
|
| 380 |
+
label="Conversations",
|
| 381 |
+
interactive=True,
|
| 382 |
+
elem_classes="conversation-item"
|
| 383 |
+
)
|
| 384 |
+
new_conv_btn = gr.Button(
|
| 385 |
+
"➕ Nouvelle conversation",
|
| 386 |
+
variant="primary",
|
| 387 |
+
elem_classes="conversation-item"
|
| 388 |
+
)
|
| 389 |
+
clear_btn = gr.Button(
|
| 390 |
+
"🗑️ Effacer chat",
|
| 391 |
+
elem_classes="clear-btn"
|
| 392 |
+
)
|
| 393 |
+
gr.Markdown("## 🚀 Mode Ultra-Rapide", elem_classes="conversation-header")
|
| 394 |
+
gr.Markdown("""
|
| 395 |
+
<div style="color: #94a3b8; font-size: 14px;">
|
| 396 |
+
✅ Streaming hybride<br>
|
| 397 |
+
✅ Réactivité 120ms<br>
|
| 398 |
+
✅ Optimisé llama.cpp
|
| 399 |
+
</div>
|
| 400 |
+
""", elem_classes="conversation-subheader")
|
| 401 |
|
| 402 |
+
with gr.Column(scale=3, elem_id="chatcol"):
|
| 403 |
+
with gr.Column(elem_id="chat-container"):
|
| 404 |
+
chatbot = gr.Chatbot(
|
| 405 |
+
label="Alisia",
|
| 406 |
+
elem_id="chatbot",
|
| 407 |
+
show_label=False,
|
| 408 |
+
height=500
|
| 409 |
+
)
|
| 410 |
+
with gr.Row(elem_id="input-container"):
|
| 411 |
+
msg_input = gr.Textbox(
|
| 412 |
+
placeholder="Posez votre question à Alisia…",
|
| 413 |
+
lines=2,
|
| 414 |
+
show_label=False,
|
| 415 |
+
elem_id="msg_input"
|
| 416 |
+
)
|
| 417 |
+
send_btn = gr.Button(
|
| 418 |
+
"Envoyer",
|
| 419 |
+
variant="primary",
|
| 420 |
+
elem_id="send_btn"
|
| 421 |
+
)
|
| 422 |
+
stop_btn = gr.Button(
|
| 423 |
+
"Arrêter",
|
| 424 |
+
variant="stop",
|
| 425 |
+
elem_id="stop_btn",
|
| 426 |
+
visible=False
|
| 427 |
+
)
|
| 428 |
+
|
| 429 |
+
# Événements
|
| 430 |
+
menu_btn.click(
|
| 431 |
+
fn=toggle_history,
|
| 432 |
+
inputs=[history_visible],
|
| 433 |
+
outputs=[history_visible, left_column]
|
| 434 |
+
)
|
| 435 |
+
|
| 436 |
+
new_conv_btn.click(
|
| 437 |
+
fn=new_conversation,
|
| 438 |
+
inputs=None,
|
| 439 |
+
outputs=[conv_dropdown, chatbot, current_chat]
|
| 440 |
+
)
|
| 441 |
+
|
| 442 |
+
clear_btn.click(
|
| 443 |
+
fn=clear_chat,
|
| 444 |
+
inputs=None,
|
| 445 |
+
outputs=[chatbot, current_chat]
|
| 446 |
+
)
|
| 447 |
+
|
| 448 |
+
conv_dropdown.change(
|
| 449 |
+
fn=load_conversation,
|
| 450 |
+
inputs=[conv_dropdown],
|
| 451 |
+
outputs=[chatbot, current_chat]
|
| 452 |
+
)
|
| 453 |
|
| 454 |
send_btn.click(
|
| 455 |
+
fn=lambda: (gr.update(visible=False), gr.update(visible=True)),
|
| 456 |
inputs=None,
|
| 457 |
outputs=[send_btn, stop_btn],
|
| 458 |
queue=False
|
| 459 |
).then(
|
| 460 |
fn=send_message_stream,
|
| 461 |
+
inputs=[msg_input, chatbot, current_chat],
|
| 462 |
outputs=[chatbot, msg_input],
|
| 463 |
queue=True
|
| 464 |
).then(
|
|
|
|
| 469 |
)
|
| 470 |
|
| 471 |
msg_input.submit(
|
| 472 |
+
fn=lambda: (gr.update(visible=False), gr.update(visible=True)),
|
| 473 |
inputs=None,
|
| 474 |
outputs=[send_btn, stop_btn],
|
| 475 |
queue=False
|
| 476 |
).then(
|
| 477 |
fn=send_message_stream,
|
| 478 |
+
inputs=[msg_input, chatbot, current_chat],
|
| 479 |
outputs=[chatbot, msg_input],
|
| 480 |
queue=True
|
| 481 |
).then(
|
|
|
|
| 486 |
)
|
| 487 |
|
| 488 |
stop_btn.click(
|
| 489 |
+
fn=request_stop,
|
| 490 |
inputs=None,
|
| 491 |
outputs=None
|
| 492 |
)
|
|
|
|
| 495 |
# LANCEMENT
|
| 496 |
# -------------------------
|
| 497 |
if __name__ == "__main__":
|
| 498 |
+
print("🚀 Lancement de l'interface ultra-réactive...")
|
| 499 |
+
print("⏱️ Mode streaming hybride activé (120ms)")
|
| 500 |
demo.launch(
|
| 501 |
share=True,
|
| 502 |
server_name="0.0.0.0",
|
| 503 |
server_port=7860,
|
| 504 |
+
debug=False
|
| 505 |
)
|