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Update app.py
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app.py
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import gradio as gr
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from nivra_agent import nivra_chat, nivra_vision
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from indicTrans3Infer import translate_text
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# ===============================
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# Chat endpoint
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# ===============================
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def chat_fn(message, history):
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history = history or []
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history.append({"role": "user", "content": message})
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# ===============================
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# Translation endpoint
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# ===============================
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def indictrans_translate(text: str, target_language: str):
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return translate_text(text, target_language)
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# ===============================
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# 🆕 Vision endpoint
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# ===============================
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def vision_fn(image_base64: str, hint_text: str):
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return nivra_vision(image_base64, hint_text)
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# ===============================
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# UI
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# ===============================
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with gr.Blocks(title="🩺 Nivra AI Agent") as demo:
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gr.Markdown("# 🩺 Nivra AI Agent")
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chatbot = gr.Chatbot(show_label=False)
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txt = gr.Textbox(placeholder="Describe your symptoms...")
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send = gr.Button("Send")
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send.click(chat_fn, inputs=[txt, chatbot], outputs=[chatbot, txt])
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txt.submit(chat_fn, inputs=[txt, chatbot], outputs=[chatbot, txt])
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demo.launch(
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server_name="0.0.0.0",
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server_port=7860,
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import gradio as gr
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from nivra_agent import nivra_chat, nivra_vision
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from indicTrans3Infer import translate_text
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# ===============================
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# Chat endpoint
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# ===============================
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def chat_fn(message, history):
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history = history or []
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history.append({"role": "user", "content": message})
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# ===============================
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# Translation endpoint
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# ===============================
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def indictrans_translate(text: str, target_language: str):
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return translate_text(text, target_language)
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# ===============================
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# 🆕 Vision endpoint (CRITICAL FIX)
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# ===============================
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def vision_fn(image_base64: str, hint_text: str):
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# IMPORTANT: return STRING ONLY
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return nivra_vision(image_base64, hint_text)
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# ===============================
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# UI + API
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# ===============================
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with gr.Blocks(title="🩺 Nivra AI Agent") as demo:
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gr.Markdown("# 🩺 Nivra AI Agent")
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# -------------------------------
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# Chat UI
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# -------------------------------
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chatbot = gr.Chatbot(show_label=False)
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txt = gr.Textbox(placeholder="Describe your symptoms...")
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send = gr.Button("Send")
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send.click(chat_fn, inputs=[txt, chatbot], outputs=[chatbot, txt])
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txt.submit(chat_fn, inputs=[txt, chatbot], outputs=[chatbot, txt])
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# -------------------------------
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# Hidden API endpoints (ISOLATED)
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# -------------------------------
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with gr.Row(visible=False):
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translate_in = gr.Textbox()
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translate_lang = gr.Textbox()
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translate_out = gr.Textbox()
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gr.Button().click(
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indictrans_translate,
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inputs=[translate_in, translate_lang],
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outputs=[translate_out],
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api_name="indictrans_translate",
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)
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with gr.Row(visible=False):
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vision_image = gr.Textbox()
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vision_hint = gr.Textbox()
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vision_out = gr.Textbox()
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gr.Button().click(
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vision_fn,
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inputs=[vision_image, vision_hint],
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outputs=[vision_out],
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api_name="vision_fn",
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)
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# 🔑 QUEUE DISABLED — REQUIRED FOR IMAGE SSE
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demo.queue(concurrency_count=1, max_size=5)
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demo.launch(
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server_name="0.0.0.0",
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server_port=7860,
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