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Murali Chandran commited on
Commit ·
bdfea42
1
Parent(s): 91ba198
test
Browse files
app.py
CHANGED
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# app.py — Mobile-safe Gradio Space (prevents truncation on phones)
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# -
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# -
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# -
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# -
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# -
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import os
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import gradio as gr
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APP_TITLE = "MiniGPT – Mobile Friendly"
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@@ -24,9 +24,15 @@ def predict(message: str, history: list[dict]):
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history is a list of {"role": "user"|"assistant", "content": str}.
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"""
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# EXAMPLE: simple echo with a long multi-line block to stress-wrap on mobile
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long_demo = "
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# If you want streaming, yield chunks instead of returning a full string:
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# for chunk in reply.split(" "):
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@@ -38,7 +44,9 @@ def predict(message: str, history: list[dict]):
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# -------------------------------
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# Build UI
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# -------------------------------
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with gr.Blocks(
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/* ====== MOBILE-SAFE CHAT STYLES ====== */
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html, body, .gradio-container { height: 100%; }
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#chatbox { height: 70vh; overflow: auto; }
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@@ -46,7 +54,8 @@ html, body, .gradio-container { height: 100%; }
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#chatbox * { overflow-wrap: anywhere; word-break: break-word; }
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#chatbox pre, #chatbox code, #chatbox .prose pre { white-space: pre-wrap; }
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@media (max-width: 480px) { #chatbox { font-size: 0.95rem; } }
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"""
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gr.Markdown(f"# {APP_TITLE}")
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gr.Markdown(APP_DESC)
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# ---------- Components ----------
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if MESSAGES_MODE:
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chat = gr.Chatbot(
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history_state = gr.State([]) # list[dict]
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else:
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chat = gr.Chatbot(
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msg = gr.Textbox(placeholder="Ask me something…", autofocus=True)
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send = gr.Button("Send")
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clear = gr.Button("Clear")
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# ---------- Event handlers ----------
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def on_clear():
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return ([], []) if MESSAGES_MODE else ([], [])
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def on_user_submit(user_message, hist):
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if MESSAGES_MODE:
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# hist: list[dict]
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new_hist = hist + [{"role": "user", "content": user_message}]
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# Show
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return gr.update(value=new_hist), new_hist, ""
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else:
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# hist: list[
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new_hist = hist + [
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return gr.update(value=new_hist), new_hist, ""
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def on_bot_respond(hist):
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# Derive the latest user message
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if MESSAGES_MODE:
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user_message = ""
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for m in reversed(hist or []):
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@@ -99,7 +114,6 @@ html, body, .gradio-container { height: 100%; }
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model_hist = hist
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else:
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user_message = hist[-1][0] if hist else ""
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# Convert tuple hist -> messages for model
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model_hist = []
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for u, a in hist:
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model_hist.append({"role": "user", "content": u})
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out = predict(user_message, model_hist)
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# Streaming generator
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if hasattr(out, "__iter__") and not isinstance(out, (str, bytes)):
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acc = ""
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for chunk in out:
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@@ -117,48 +131,57 @@ html, body, .gradio-container { height: 100%; }
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temp = hist + [{"role": "assistant", "content": acc}]
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yield gr.update(value=temp), temp
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else:
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# Replace last pair's assistant text as it streams
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if hist:
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temp = hist[:-1] + [
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else:
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temp = [
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yield gr.update(value=temp), temp
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return
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# Single string
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reply = str(out)
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if MESSAGES_MODE:
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new_hist = hist + [{"role": "assistant", "content": reply}]
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return gr.update(value=new_hist), new_hist
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else:
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new_hist = hist[:-1] + [
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return gr.update(value=new_hist), new_hist
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# Wire events
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user_submit = msg.submit(
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user_submit.then(on_bot_respond, inputs=[history_state], outputs=[chat, history_state])
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btn_submit.then(on_bot_respond, inputs=[
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clear.click(lambda: ([], []), None, [chat, history_state])
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gr.Markdown(
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**Notes**
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- This build avoids `ChatInterface` to prevent DuplicateBlockError on older Gradio.
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- On Gradio < 4.37, it uses tuple chat format; on newer, it uses `type="messages"`.
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- CSS ensures full wrapping + scroll on mobile; `ssr_mode=False` below improves stability.
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# Queue for stability
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# Version-safe queue setup
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try:
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# Gradio ≥ 4.33 typically supports default_concurrency_limit
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demo.queue(default_concurrency_limit=2, max_size=32, status_update_rate=0.5)
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except TypeError:
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if __name__ == "__main__":
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demo.launch(ssl_verify=False, ssr_mode=False)
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# app.py — Mobile-safe Gradio Space (prevents truncation on phones)
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# - Compatible with Gradio 4.31.0 and newer
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# - Uses Chatbot(type="messages") automatically on >= 4.37, legacy tuples on older
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# - Fixed-height, scrollable chat, forced wrapping to avoid truncation on phones
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# - No ChatInterface (avoids DuplicateBlockError on older Gradio)
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# - Version-safe queue() call
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# - Works with sync or streaming predict()
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import gradio as gr
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APP_TITLE = "MiniGPT – Mobile Friendly"
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history is a list of {"role": "user"|"assistant", "content": str}.
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"""
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# EXAMPLE: simple echo with a long multi-line block to stress-wrap on mobile
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long_demo = " ".join([
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f"step {i+1}: example line that is intentionally long to test wrapping on mobile browsers. "
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f"It should never be truncated; it should wrap and the container should scroll."
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for i in range(8)
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])
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reply = (
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f"Here is your message back:{message} {long_demo}"
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f"final answer: this text should fully render on mobile."
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)
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# If you want streaming, yield chunks instead of returning a full string:
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# for chunk in reply.split(" "):
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# -------------------------------
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# Build UI
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# -------------------------------
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with gr.Blocks(
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fill_height=True,
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css="""
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/* ====== MOBILE-SAFE CHAT STYLES ====== */
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html, body, .gradio-container { height: 100%; }
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#chatbox { height: 70vh; overflow: auto; }
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#chatbox * { overflow-wrap: anywhere; word-break: break-word; }
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#chatbox pre, #chatbox code, #chatbox .prose pre { white-space: pre-wrap; }
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@media (max-width: 480px) { #chatbox { font-size: 0.95rem; } }
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""",
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) as demo:
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gr.Markdown(f"# {APP_TITLE}")
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gr.Markdown(APP_DESC)
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# ---------- Components ----------
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if MESSAGES_MODE:
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chat = gr.Chatbot(
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type="messages",
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height=540,
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show_copy_button=True,
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elem_id="chatbox",
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)
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history_state = gr.State([]) # list[dict]
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else:
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chat = gr.Chatbot(
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height=540,
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show_copy_button=True,
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elem_id="chatbox",
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)
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history_state = gr.State([]) # list[list[str, str]]
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msg = gr.Textbox(placeholder="Ask me something…", autofocus=True)
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send = gr.Button("Send")
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clear = gr.Button("Clear")
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# ---------- Event handlers ----------
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def on_user_submit(user_message, hist):
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if MESSAGES_MODE:
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# hist: list[dict]
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new_hist = hist + [{"role": "user", "content": user_message}]
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# Show user message in chat immediately; clear textbox
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return gr.update(value=new_hist), new_hist, ""
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else:
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# hist: list[[user, bot]]
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new_hist = hist + [[user_message, ""]]
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return gr.update(value=new_hist), new_hist, ""
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def on_bot_respond(hist):
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# Derive the latest user message; build model history in messages format
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if MESSAGES_MODE:
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user_message = ""
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for m in reversed(hist or []):
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model_hist = hist
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else:
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user_message = hist[-1][0] if hist else ""
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model_hist = []
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for u, a in hist:
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model_hist.append({"role": "user", "content": u})
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out = predict(user_message, model_hist)
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# Streaming generator support
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if hasattr(out, "__iter__") and not isinstance(out, (str, bytes)):
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acc = ""
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for chunk in out:
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temp = hist + [{"role": "assistant", "content": acc}]
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yield gr.update(value=temp), temp
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else:
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if hist:
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temp = hist[:-1] + [[hist[-1][0], acc]]
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else:
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temp = [[user_message, acc]]
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yield gr.update(value=temp), temp
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return
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# Single string reply
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reply = str(out)
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if MESSAGES_MODE:
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new_hist = hist + [{"role": "assistant", "content": reply}]
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return gr.update(value=new_hist), new_hist
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else:
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new_hist = hist[:-1] + [[hist[-1][0], reply]] if hist else [[user_message, reply]]
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return gr.update(value=new_hist), new_hist
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# ---------- Wire events (inside Blocks) ----------
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user_submit = msg.submit(
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on_user_submit,
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inputs=[msg, history_state],
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outputs=[chat, history_state, msg],
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)
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btn_submit = send.click(
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on_user_submit,
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inputs=[msg, history_state],
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outputs=[chat, history_state, msg],
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)
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# After appending the user message, trigger the bot to respond
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user_submit.then(on_bot_respond, inputs=[history_state], outputs=[chat, history_state])
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btn_submit.then(on_bot_respond, inputs=[history_state], outputs=[chat, history_state])
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clear.click(lambda: ([], []), None, [chat, history_state])
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gr.Markdown(
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"""
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**Notes**
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- This build avoids `ChatInterface` to prevent DuplicateBlockError on older Gradio.
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- On Gradio < 4.37, it uses legacy tuple chat format; on newer, it uses `type="messages"`.
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- CSS ensures full wrapping + scroll on mobile; `ssr_mode=False` below improves stability.
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"""
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)
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# Queue for stability (version-safe args)
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try:
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demo.queue(default_concurrency_limit=2, max_size=32, status_update_rate=0.5)
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except TypeError:
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try:
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demo.queue(concurrency_count=2)
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except TypeError:
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demo.queue()
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if __name__ == "__main__":
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demo.launch(ssl_verify=False, ssr_mode=False)
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