Spaces:
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Update app.py
Browse files
app.py
CHANGED
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@@ -12,18 +12,17 @@ MODELS = {
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"Meta LLaMA 3.1 (8B Instruct)": "meta-llama/Llama-3.1-8B-Instruct",
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"Mistral 7B Instruct": "mistralai/Mistral-7B-Instruct-v0.3",
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}
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-
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-
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HF_TOKEN = os.getenv("HF_TOKEN") # Set in your Space's Secrets
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DB_PATH = "history.db"
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# Minimal system prompt (short)
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SYSTEM_DEFAULT = (
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"
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"
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"
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"
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)
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# ---------------------------
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@@ -91,8 +90,7 @@ def get_messages(session_id: int):
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cur = conn.cursor()
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cur.execute("""
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SELECT role, content FROM messages
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WHERE session_id = ?
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ORDER BY id ASC
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""", (session_id,))
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rows = cur.fetchall()
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conn.close()
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@@ -118,7 +116,7 @@ def update_session_title_if_needed(session_id: int, first_user_text: str):
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title = first_user_text.strip().split("\n")[0]
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title = (title[:50] + "…") if len(title) > 50 else title
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cur.execute("UPDATE sessions SET title=? WHERE id=?", (title or "New chat", session_id))
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-
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conn.close()
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# ---------------------------
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@@ -177,14 +175,13 @@ def delete_chat_cb(selected_label):
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return gr.update(choices=labels, value=selected), []
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FRONTEND_KEYWORDS = [
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"react",
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]
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def is_frontend_request(user_text: str) -> bool:
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text_lower = user_text.lower()
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return any(kw in text_lower for kw in FRONTEND_KEYWORDS)
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# --- Fixed send_cb to show user message ---
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def send_cb(user_text, selected_label, chatbot_msgs, system_message, max_tokens, temperature, top_p, model_choice, dataset_choice, *args):
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sid = label_to_id(selected_label)
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if sid is None:
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@@ -192,14 +189,12 @@ def send_cb(user_text, selected_label, chatbot_msgs, system_message, max_tokens,
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labels, _ = list_sessions()
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selected_label = next((lbl for lbl in labels if lbl.startswith(f"{sid} ")), None)
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# Save user message
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add_message(sid, "user", user_text)
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update_session_title_if_needed(sid, user_text)
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display_msgs = chatbot_msgs[:]
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display_msgs.append({"role": "user", "content": user_text})
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# Check for frontend-heavy request
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if is_frontend_request(user_text):
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apology = "⚠️ I'm a backend-focused assistant and cannot provide frontend code."
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display_msgs.append({"role": "assistant", "content": apology})
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@@ -207,7 +202,6 @@ def send_cb(user_text, selected_label, chatbot_msgs, system_message, max_tokens,
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yield (display_msgs, "", selected_label)
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return
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# Normal backend response
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display_msgs.append({"role": "assistant", "content": "…"})
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yield (display_msgs, "", selected_label)
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@@ -222,10 +216,8 @@ def send_cb(user_text, selected_label, chatbot_msgs, system_message, max_tokens,
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top_p=float(top_p),
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stream=True,
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):
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# --- FIX: handle models that send empty chunks or use message instead of delta ---
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if not hasattr(chunk, "choices") or not chunk.choices:
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continue
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-
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choice = chunk.choices[0]
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delta = ""
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if hasattr(choice, "delta") and choice.delta and getattr(choice.delta, "content", None) is not None:
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@@ -243,7 +235,6 @@ def send_cb(user_text, selected_label, chatbot_msgs, system_message, max_tokens,
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display_msgs[-1]["content"] = f"⚠️ Error: {str(e)}"
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yield (display_msgs, "", selected_label)
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-
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def regenerate_cb(selected_label, system_message, max_tokens, temperature, top_p, model_choice, dataset_choice):
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sid = label_to_id(selected_label)
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if sid is None:
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@@ -253,13 +244,11 @@ def regenerate_cb(selected_label, system_message, max_tokens, temperature, top_p
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if not msgs:
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return [], ""
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# Remove the last assistant message if it exists (to regenerate it)
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if msgs and msgs[-1]["role"] == "assistant":
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conn = db()
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cur = conn.cursor()
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cur.execute("""
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DELETE FROM messages
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WHERE id = (
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SELECT id FROM messages WHERE session_id=? ORDER BY id DESC LIMIT 1
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)
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""", (sid,))
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@@ -281,10 +270,8 @@ def regenerate_cb(selected_label, system_message, max_tokens, temperature, top_p
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top_p=float(top_p),
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stream=True,
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):
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# --- FIX: handle models that send empty chunks or use message instead of delta ---
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if not hasattr(chunk, "choices") or not chunk.choices:
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continue
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-
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choice = chunk.choices[0]
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delta = ""
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if hasattr(choice, "delta") and choice.delta and getattr(choice.delta, "content", None) is not None:
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@@ -302,7 +289,6 @@ def regenerate_cb(selected_label, system_message, max_tokens, temperature, top_p
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display_msgs[-1]["content"] = f"⚠️ Error: {str(e)}"
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yield display_msgs
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-
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# ---------------------------
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# App UI
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# ---------------------------
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@@ -311,113 +297,23 @@ labels, _ = list_sessions()
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if not labels:
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first_sid = create_session("New chat")
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labels, _ = list_sessions()
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default_selected = labels[0] if labels else None
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with gr.Blocks(title="Backend-Focused LLaMA/Mistral CRUD Assistant", theme=gr.themes.Soft()) as demo:
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# Prevent page-level scrolling and tighten UI spacing.
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gr.HTML("""
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<style>
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html, body { overflow: hidden; height: 100%; } /* Lock scrolling on page */
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.gradio-container { height: 100vh; width: 100vw; } /* Fill window */
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/* Button styling (smaller icons) */
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.gr-button, button {
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padding: 6px 8px !important;
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font-size: 14px !important;
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min-height: 28px !important;
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}
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/* Make sidebar compact and scrollable */
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.gr-block.gr-column:nth-of-type(1) {
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max-width: 340px;
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overflow-y: auto;
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padding-right: 8px;
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}
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/* Compact dropdown / radio list for sessions */
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.gr-dropdown, .gr-radio {
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max-height: 420px !important;
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overflow-y: auto !important;
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}
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/* Reduce space used by sliders & textareas */
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.gr-slider, .gr-textbox, .gr-dropdown, .gr-radio {
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margin-bottom: 6px !important;
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}
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/* Make the chat area fill more vertical space */
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.gr-chat { height: 720px !important; }
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/* Reduce overall margins */
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.container, .gr-box { margin: 0 !important; padding: 4px !important; }
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/* Make small icon buttons visually compact */
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.icon-btn { padding: 4px 6px !important; min-width: 34px !important; }
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/* Keep the second column scrollable if content overflows */
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.gr-block.gr-column:nth-of-type(2) { max-height: calc(100vh - 40px); overflow-y: auto; }
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</style>
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""")
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gr.Markdown("## 🗄️ LLaMA & Mistral Backend-Focused CRUD Automation — with Persistent History")
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with gr.Row():
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with gr.Column(scale=1, min_width=260):
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gr.
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value=default_selected,
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label="Chats",
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interactive=True
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)
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new_btn = gr.Button("➕", elem_id="new-chat-btn")
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rename_btn = gr.Button("✏️", elem_id="rename-chat-btn")
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del_btn = gr.Button("🗑️", elem_id="delete-chat-btn")
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refresh_btn = gr.Button("🔄", elem_id="refresh-chat-btn")
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# editable title input (kept but small)
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edit_title_box = gr.Textbox(label="Rename selected chat", placeholder="Type new title...", lines=1)
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# rename callback (kept unchanged)
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def rename_session_cb(new_title, selected_label):
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sid = label_to_id(selected_label)
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if sid and new_title and new_title.strip():
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conn = db()
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cur = conn.cursor()
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cur.execute("UPDATE sessions SET title=? WHERE id=?", (new_title.strip(), sid))
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conn.commit()
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conn.close()
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labels, _ = list_sessions()
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new_selected = next((lbl for lbl in labels if lbl.startswith(f"{sid} ")), None)
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return gr.update(choices=labels, value=new_selected)
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gr.Markdown("### 🤖 Model")
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model_choice = gr.Dropdown(
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choices=list(MODELS.keys()),
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value=list(MODELS.keys())[0],
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label="Model",
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interactive=True
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)
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gr.
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dataset_choice = gr.Dropdown(
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choices=DATASETS,
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value=DATASETS[0],
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label="Dataset",
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interactive=True
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)
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gr.Markdown("### ⚙️ Settings")
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# make system box short (min lines)
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system_box = gr.Textbox(
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value=SYSTEM_DEFAULT,
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label="System message",
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lines=3
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)
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max_tokens = gr.Slider(256, 4096, value=1200, step=16, label="Max tokens")
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temperature = gr.Slider(0.0, 2.0, value=0.25, step=0.05, label="Temperature")
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top_p = gr.Slider(0.1, 1.0, value=0.9, step=0.05, label="Top-p")
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send_btn = gr.Button("Send ▶️", variant="primary")
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regen_btn = gr.Button("Regenerate 🔁", variant="secondary")
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# wire rename button (rename callback returns gr.update)
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rename_btn.click(rename_session_cb, inputs=[edit_title_box, session_list], outputs=[session_list])
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# wire other small buttons - use components in outputs (not gr.update)
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refresh_btn.click(refresh_sessions_cb, outputs=[session_list])
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new_btn.click(new_chat_cb, outputs=[session_list, chatbot, user_box])
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del_btn.click(delete_chat_cb, inputs=
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# session load/change
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session_list.change(load_session_cb, inputs=[session_list], outputs=[chatbot])
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# main conversation wiring
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send_btn.click(
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send_cb,
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inputs=[user_box, session_list, chatbot, system_box, max_tokens, temperature, top_p, model_choice, dataset_choice],
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regen_btn.click(
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regenerate_cb,
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inputs=[session_list, system_box, max_tokens, temperature, top_p, model_choice, dataset_choice],
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outputs=
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)
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if __name__ == "__main__":
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"Meta LLaMA 3.1 (8B Instruct)": "meta-llama/Llama-3.1-8B-Instruct",
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"Mistral 7B Instruct": "mistralai/Mistral-7B-Instruct-v0.3",
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}
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DATASETS = ["The Stack", "CodeXGLUE"]
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HF_TOKEN = os.getenv("HF_TOKEN")
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DB_PATH = "history.db"
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SYSTEM_DEFAULT = (
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"You are a backend-focused coding assistant. "
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"Always prioritize database, API, authentication, routing, migrations, and CRUD logic. "
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"Provide full backend code scaffolds with files, paths, and commands. "
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"Only include frontend if required for framework integration "
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"(e.g., Laravel Blade, Django templates). "
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"If user asks for too much frontend, politely say: 'I'm a backend-focused assistant and cannot provide excessive frontend code.'"
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)
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# ---------------------------
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cur = conn.cursor()
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cur.execute("""
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SELECT role, content FROM messages
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WHERE session_id = ? ORDER BY id ASC
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""", (session_id,))
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rows = cur.fetchall()
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conn.close()
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title = first_user_text.strip().split("\n")[0]
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title = (title[:50] + "…") if len(title) > 50 else title
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cur.execute("UPDATE sessions SET title=? WHERE id=?", (title or "New chat", session_id))
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conn.commit()
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conn.close()
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# ---------------------------
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return gr.update(choices=labels, value=selected), []
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FRONTEND_KEYWORDS = [
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"react","vue","angular","html","css","javascript","tailwind","recharts","typescript"
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]
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def is_frontend_request(user_text: str) -> bool:
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text_lower = user_text.lower()
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return any(kw in text_lower for kw in FRONTEND_KEYWORDS)
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def send_cb(user_text, selected_label, chatbot_msgs, system_message, max_tokens, temperature, top_p, model_choice, dataset_choice, *args):
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sid = label_to_id(selected_label)
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if sid is None:
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labels, _ = list_sessions()
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selected_label = next((lbl for lbl in labels if lbl.startswith(f"{sid} ")), None)
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add_message(sid, "user", user_text)
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update_session_title_if_needed(sid, user_text)
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display_msgs = chatbot_msgs[:]
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display_msgs.append({"role": "user", "content": user_text})
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if is_frontend_request(user_text):
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apology = "⚠️ I'm a backend-focused assistant and cannot provide frontend code."
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display_msgs.append({"role": "assistant", "content": apology})
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yield (display_msgs, "", selected_label)
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return
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display_msgs.append({"role": "assistant", "content": "…"})
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yield (display_msgs, "", selected_label)
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top_p=float(top_p),
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stream=True,
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):
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if not hasattr(chunk, "choices") or not chunk.choices:
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continue
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choice = chunk.choices[0]
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delta = ""
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if hasattr(choice, "delta") and choice.delta and getattr(choice.delta, "content", None) is not None:
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display_msgs[-1]["content"] = f"⚠️ Error: {str(e)}"
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yield (display_msgs, "", selected_label)
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def regenerate_cb(selected_label, system_message, max_tokens, temperature, top_p, model_choice, dataset_choice):
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sid = label_to_id(selected_label)
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if sid is None:
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if not msgs:
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return [], ""
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if msgs and msgs[-1]["role"] == "assistant":
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conn = db()
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cur = conn.cursor()
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cur.execute("""
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DELETE FROM messages WHERE id = (
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SELECT id FROM messages WHERE session_id=? ORDER BY id DESC LIMIT 1
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)
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""", (sid,))
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top_p=float(top_p),
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stream=True,
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):
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if not hasattr(chunk, "choices") or not chunk.choices:
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continue
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choice = chunk.choices[0]
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delta = ""
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if hasattr(choice, "delta") and choice.delta and getattr(choice.delta, "content", None) is not None:
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display_msgs[-1]["content"] = f"⚠️ Error: {str(e)}"
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yield display_msgs
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# ---------------------------
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# App UI
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# ---------------------------
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if not labels:
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first_sid = create_session("New chat")
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labels, _ = list_sessions()
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+
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default_selected = labels[0] if labels else None
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with gr.Blocks(title="Backend-Focused LLaMA/Mistral CRUD Assistant", theme=gr.themes.Soft()) as demo:
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gr.Markdown("## 🗄️ LLaMA & Mistral Backend-Focused CRUD Automation — with Persistent History")
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with gr.Row():
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with gr.Column(scale=1, min_width=260):
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+
session_list = gr.Radio(choices=labels, value=default_selected, label="Your chats", interactive=True)
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+
new_btn = gr.Button("➕ New Chat", variant="primary")
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+
del_btn = gr.Button("🗑️ Delete", variant="stop")
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+
refresh_btn = gr.Button("🔄 Refresh", variant="secondary")
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+
model_choice = gr.Dropdown(choices=list(MODELS.keys()), value=list(MODELS.keys())[0], label="Choose a model", interactive=True)
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dataset_choice = gr.Dropdown(choices=DATASETS, value=DATASETS[0], label="Select a dataset", interactive=True)
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system_box = gr.Textbox(value=SYSTEM_DEFAULT, label="System message", lines=5)
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max_tokens = gr.Slider(256, 4096, value=1200, step=16, label="Max tokens")
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temperature = gr.Slider(0.0, 2.0, value=0.25, step=0.05, label="Temperature")
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top_p = gr.Slider(0.1, 1.0, value=0.9, step=0.05, label="Top-p")
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send_btn = gr.Button("Send ▶️", variant="primary")
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regen_btn = gr.Button("Regenerate 🔁", variant="secondary")
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+
refresh_btn.click(refresh_sessions_cb, outputs=session_list)
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| 330 |
new_btn.click(new_chat_cb, outputs=[session_list, chatbot, user_box])
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+
del_btn.click(delete_chat_cb, inputs=session_list, outputs=[session_list, chatbot])
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| 332 |
+
session_list.change(load_session_cb, inputs=session_list, outputs=chatbot)
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send_btn.click(
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send_cb,
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inputs=[user_box, session_list, chatbot, system_box, max_tokens, temperature, top_p, model_choice, dataset_choice],
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| 346 |
regen_btn.click(
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| 347 |
regenerate_cb,
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| 348 |
inputs=[session_list, system_box, max_tokens, temperature, top_p, model_choice, dataset_choice],
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| 349 |
+
outputs=chatbot
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| 350 |
)
|
| 351 |
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| 352 |
if __name__ == "__main__":
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