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app.py

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+import gradio as gr
+import subprocess
+import json
+import os
+
+# Use the remote API if available, otherwise local
+API_URL = os.environ.get("API_URL", "")
+if not API_URL:
+    # Try to use the engine directly
+    API_URL = "http://localhost:8000"
+
+def search(query, top_n):
+    if not query.strip():
+        return "Entrez une requête pour lancer la recherche."
+    
+    try:
+        if API_URL and API_URL != "http://localhost:8000":
+            import requests
+            resp = requests.get(f"{API_URL}/search-semantic", params={"query": query, "top": str(top_n)})
+            results = resp.json()
+        else:
+            # Use local API
+            import requests
+            resp = requests.get("http://localhost:8000/search-semantic", params={"query": query, "top": str(top_n)})
+            results = resp.json()
+    except Exception as e:
+        return f"Erreur de connexion: {e}\n\nLe moteur doit être lancé avec `zaza server` d'abord."
+    
+    if not results:
+        return "Aucun résultat trouvé."
+    
+    output = []
+    for i, r in enumerate(results, 1):
+        score_pct = int(r.get("score", 0) * 100)
+        output.append(f"**#{i}** — {r.get('filename', '?')} (score: {score_pct}%)")
+        output.append(f"{r.get('excerpt', '')}")
+        output.append(f"Type: {r.get('filetype', 'txt')} • Chunk {r.get('chunk_index', 0)}/{r.get('total_chunks', 1)}")
+        output.append("")
+    
+    return "\n".join(output)
+
+# Gradio interface
+with gr.Blocks(title="Zaza Semantic Search") as demo:
+    gr.Markdown("# 🔍 Zaza Semantic Search\nRecherche sémantique dans vos documents ingérés")
+    
+    with gr.Row():
+        query_input = gr.Textbox(placeholder="Ex: comment gérer un projet IA local...", lines=2)
+        top_slider = gr.Slider(1, 20, value=5, step=1, label="Top résultats")
+    
+    search_btn = gr.Button("Rechercher", variant="primary")
+    output = gr.Markdown("Entrez votre requête ci-dessus et cliquez Rechercher.")
+    
+    search_btn.click(search, [query_input, top_slider], output)
+    query_input.submit(search, [query_input, top_slider], output)
+
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0", share=False)