Fix: Python 3.11 pin (audioop), correct AIGENCY API protocol, session chat_id, image flow

README.md

@@ -5,6 +5,7 @@ colorFrom: indigo
 colorTo: pink
 sdk: gradio
 sdk_version: 4.44.0
+python_version: 3.11
 app_file: app.py
 pinned: true
 license: other

app.py

@@ -3,9 +3,10 @@
 This Gradio app proxies user prompts to the eCloud production AIGENCY V4 API.
 
 Setup (when deploying to HuggingFace Spaces):
-    1. Add `AIGENCY_API_TOKEN` as a Space secret (Space settings → Secrets).
-    2. Optionally add `AIGENCY_API_BASE` (default https://aigency.dev/api/v2)
-       and `AIGENCY_ASSISTANT` (default alparslan-v4).
+    1. Add `AIGENCY_API_TOKEN` as a Space secret (Space settings → Variables and secrets).
+    2. Optionally add `AIGENCY_API_BASE`     (default https://aigency.dev/api/v2)
+                       `AIGENCY_ASSISTANT_ID` (default 277)
+                       `AIGENCY_ASSISTANT_SLUG` (default alparslan-v4).
 
 The Space supports text and image-with-text input (one image per request,
 ≤ 30 MB, image/* MIME).
@@ -14,10 +15,6 @@ from __future__ import annotations
 
 import io
 import os
-import time
-import json
-import base64
-import mimetypes
 
 import gradio as gr
 import requests
@@ -26,13 +23,24 @@ from PIL import Image
 # ── Config ─────────────────────────────────────────────────────────
 API_BASE = os.environ.get("AIGENCY_API_BASE", "https://aigency.dev/api/v2")
 API_TOKEN = os.environ.get("AIGENCY_API_TOKEN", "")  # set via Space secret
-ASSISTANT = os.environ.get("AIGENCY_ASSISTANT", "alparslan-v4")
+ASSISTANT_ID = int(os.environ.get("AIGENCY_ASSISTANT_ID", "277"))
+ASSISTANT_SLUG = os.environ.get("AIGENCY_ASSISTANT_SLUG", "alparslan-v4")
 TIMEOUT = 60  # seconds
 DEMO_BANNER = (
     "AIGENCY V4 — sovereign, multimodal, Turkish-first AI · "
     "128B parameters · 278K context · KVKK-resident"
 )
 
+PLACEHOLDER_MSG = (
+    "🔒 The interactive chat is being activated.\n\n"
+    "While the demo is finalised, you can already:\n"
+    "  · Browse the **Benchmark Leaderboard** tab — 22 benchmarks, 13,344 calls\n"
+    "  · Read the [model card](https://huggingface.co/aigencydev/AIGENCY-V4)\n"
+    "  · Inspect the [evaluation dataset](https://huggingface.co/datasets/aigencydev/aigency-v4-evaluation)\n"
+    "  · Read the whitepaper (32 pages, EN/TR) on [GitHub](https://github.com/ecloud-bh/aigency-v4-whitepaper)\n\n"
+    "For production access: **info@e-cloud.web.tr · ai@aigency.dev**"
+)
+
 
 # ── Bench numbers (static, mirrored from the model card) ───────────
 BENCH = [
@@ -61,86 +69,84 @@ BENCH = [
 ]
 
 
-def headers():
-    return {"Authorization": f"Bearer {API_TOKEN}"}
-
-
-PLACEHOLDER_MSG = (
-    "🔒 The interactive chat is being activated.\n\n"
-    "While the demo is finalised, you can already:\n"
-    "  · Browse the **Benchmark Leaderboard** tab — 22 benchmarks, 13,344 calls\n"
-    "  · Read the [model card](https://huggingface.co/aigencydev/AIGENCY-V4)\n"
-    "  · Inspect the [evaluation dataset](https://huggingface.co/datasets/aigencydev/aigency-v4-evaluation)\n"
-    "  · Read the whitepaper (32 pages, EN/TR) on [GitHub](https://github.com/ecloud-bh/aigency-v4-whitepaper)\n\n"
-    "For production access: **info@e-cloud.web.tr · ai@aigency.dev**"
-)
-
-
-# ── Two-step API protocol ─────────────────────────────────────────
-def new_chat() -> str:
-    r = requests.post(
-        f"{API_BASE}/chat/newChat",
-        headers=headers(),
-        json={"assistant_slug": ASSISTANT},
-        timeout=TIMEOUT,
-    )
+# ── Two-step API protocol (token in URL path) ─────────────────────
+def new_chat(message: str) -> tuple[str, str]:
+    """Open a chat. Returns (chat_id, first_response)."""
+    url = f"{API_BASE}/newChat/{ASSISTANT_ID}/{API_TOKEN}"
+    r = requests.post(url, json={"message": message}, timeout=TIMEOUT)
     r.raise_for_status()
-    return r.json()["chat_id"]
+    body = r.json()
+    return body.get("chat_id", ""), body.get("message", "")
 
 
-def send_text(chat_id: str, prompt: str) -> str:
-    r = requests.post(
-        f"{API_BASE}/chat/sendMessage",
-        headers=headers(),
-        json={"chat_id": chat_id, "message": prompt},
-        timeout=TIMEOUT,
-    )
+def send_message(chat_id: str, message: str) -> str:
+    url = f"{API_BASE}/sendMessage/{API_TOKEN}"
+    files = {
+        "chat_id": (None, str(chat_id)),
+        "message": (None, message),
+    }
+    r = requests.post(url, files=files, timeout=TIMEOUT)
     r.raise_for_status()
     return r.json().get("message", "")
 
 
-def send_with_image(chat_id: str, prompt: str, image: Image.Image) -> str:
+def send_with_image(chat_id: str, message: str, image: Image.Image) -> str:
     buf = io.BytesIO()
     image.save(buf, format="PNG")
     buf.seek(0)
+    url = f"{API_BASE}/sendMessage/{API_TOKEN}"
     files = {
-        "attachements": ("image.png", buf, "image/png"),  # canonical typo
+        "chat_id": (None, str(chat_id)),
+        "message": (None, message),
+        "attachements": ("image.png", buf.getvalue(), "image/png"),  # canonical typo
     }
-    data = {"chat_id": chat_id, "message": prompt}
-    r = requests.post(
-        f"{API_BASE}/chat/sendMessage",
-        headers=headers(),
-        files=files,
-        data=data,
-        timeout=TIMEOUT,
-    )
+    r = requests.post(url, files=files, timeout=TIMEOUT)
     r.raise_for_status()
     return r.json().get("message", "")
 
 
-# ── Gradio handlers ────────────────────────────────────────────────
-def chat(prompt, image, history):
+# ── Gradio handler with session-scoped chat_id ─────────────────────
+def chat(prompt, image, history, chat_id_state):
     history = history or []
+    chat_id = chat_id_state or ""
+
     if not prompt.strip():
-        return history, ""
+        return history, "", chat_id
+
     if not API_TOKEN:
         history.append((prompt, PLACEHOLDER_MSG))
-        return history, ""
+        return history, "", chat_id
+
     try:
-        chat_id = new_chat()
-        if image is not None:
-            answer = send_with_image(chat_id, prompt, image)
+        if not chat_id:
+            # Open a new conversation; the seed message can be the user's first prompt
+            if image is None:
+                cid, answer = new_chat(prompt)
+                chat_id = cid
+            else:
+                # newChat doesn't accept attachments — open with a brief seed, then send image
+                cid, _ = new_chat("Bir görsel inceleyeceksin.")
+                chat_id = cid
+                answer = send_with_image(chat_id, prompt, image)
         else:
-            answer = send_text(chat_id, prompt)
+            # Continue existing conversation
+            if image is None:
+                answer = send_message(chat_id, prompt)
+            else:
+                answer = send_with_image(chat_id, prompt, image)
     except Exception as e:
         answer = f"Error: {e}"
+
     history.append((prompt, answer))
-    return history, ""
+    return history, "", chat_id
+
+
+def reset_session():
+    return [], "", ""
 
 
 def make_leaderboard():
-    rows = [(name, f"{val:.2%}", note) for name, val, note in BENCH]
-    return rows
+    return [(name, f"{val:.2%}", note) for name, val, note in BENCH]
 
 
 # ── UI ─────────────────────────────────────────────────────────────
@@ -168,6 +174,7 @@ Responses are served live by the production API.
 
 with gr.Blocks(title="AIGENCY V4 Demo", theme=gr.themes.Soft()) as demo:
     gr.Markdown(f"# AIGENCY V4\n\n*{DEMO_BANNER}*")
+    chat_id_state = gr.State("")
 
     with gr.Tab("Chat"):
         with gr.Row():
@@ -185,9 +192,12 @@ with gr.Blocks(title="AIGENCY V4 Demo", theme=gr.themes.Soft()) as demo:
                 )
             with gr.Column(scale=1):
                 img = gr.Image(label="Optional image", type="pil", height=200)
-        send = gr.Button("Send", variant="primary")
-        send.click(chat, [msg, img, chatbot], [chatbot, msg])
-        msg.submit(chat, [msg, img, chatbot], [chatbot, msg])
+        with gr.Row():
+            send = gr.Button("Send", variant="primary")
+            clear = gr.Button("New conversation")
+        send.click(chat, [msg, img, chatbot, chat_id_state], [chatbot, msg, chat_id_state])
+        msg.submit(chat, [msg, img, chatbot, chat_id_state], [chatbot, msg, chat_id_state])
+        clear.click(reset_session, [], [chatbot, msg, chat_id_state])
 
     with gr.Tab("Benchmark Leaderboard"):
         gr.Markdown(