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Update app.py
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app.py
CHANGED
@@ -55,13 +55,27 @@ engine = agent_logic_module.RAG_Engine(
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print("--- [UI App] Bootstrap complete. Gradio UI is starting. ---")
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# ----------------------------------------------------------------------
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# 3.
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# ----------------------------------------------------------------------
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def respond(message: str, history: list[dict[str, str]]):
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"""
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Called by Gradio for each user message.
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"""
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final_response = engine.get_response(message, history)
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# Simple "typing" effect – yield partial strings
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@@ -72,9 +86,8 @@ def respond(message: str, history: list[dict[str, str]]):
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yield response
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# ----------------------------------------------------------------------
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#
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# ----------------------------------------------------------------------
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# 4.1 Tips (you can edit this markdown as you wish)
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tips_md = r"""
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## 📋 Tips menggunakan **PRECISE RAG Agent**
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@@ -91,7 +104,6 @@ tips_md = r"""
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"""
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# 4.2 Footer – the old description / notes
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footer_md = r"""
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---
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**Frameworks**: LangChain + FAISS
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@@ -100,7 +112,6 @@ footer_md = r"""
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"""
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# 4.3 Chat component (no description here)
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chatbot = gr.ChatInterface(
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respond,
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type="messages",
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@@ -114,22 +125,7 @@ chatbot = gr.ChatInterface(
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theme=gr.themes.Soft(),
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)
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# 4.4 Assemble everything inside a Blocks container
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with gr.Blocks() as demo:
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gr.Markdown(
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gr.Markdown(footer_md) # <-- Footer (old description)
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# ----------------------------------------------------------------------
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# 5. Launch
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# ----------------------------------------------------------------------
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if __name__ == "__main__":
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allowed_user = _secret("CHAT_USER")
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allowed_pass = _secret("CHAT_PASS")
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demo.launch(
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auth=(allowed_user, allowed_pass),
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server_name="0.0.0.0",
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ssr_mode=False,
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server_port=7860,
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)
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print("--- [UI App] Bootstrap complete. Gradio UI is starting. ---")
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# ----------------------------------------------------------------------
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# 3. Import the usage‑counter helper (the file‑lock implementation)
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# ----------------------------------------------------------------------
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from usage_counter import increment_and_check
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# ----------------------------------------------------------------------
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# 4. Core Gradio Chat Logic – now wrapped with the quota check
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# ----------------------------------------------------------------------
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def respond(message: str, history: list[dict[str, str]]):
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"""
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Called by Gradio for each user message.
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If the quota is exhausted we immediately return an error message.
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Otherwise we stream the response from the RAG engine.
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"""
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# ---- quota check (atomic) ----
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if not increment_and_check():
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# The limit has been reached – we do **not** call the engine.
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# Yield a single message so the UI shows it instantly.
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yield "❌ **Quota exceeded** – the maximum number of allowed requests has been reached."
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return
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# ---- normal RAG processing ----
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final_response = engine.get_response(message, history)
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# Simple "typing" effect – yield partial strings
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yield response
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# ----------------------------------------------------------------------
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# 5. UI Layout – Tips + Chat + Footer (unchanged)
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# ----------------------------------------------------------------------
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tips_md = r"""
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## 📋 Tips menggunakan **PRECISE RAG Agent**
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"""
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footer_md = r"""
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---
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**Frameworks**: LangChain + FAISS
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"""
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chatbot = gr.ChatInterface(
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respond,
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type="messages",
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theme=gr.themes.Soft(),
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)
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with gr.Blocks() as demo:
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chatbot.render()
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gr.Markdown(tips_md)
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gr.Markdown(footer_md)
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