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Update app.py
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app.py
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@@ -3,6 +3,7 @@ import gradio as gr
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import json
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from datetime import datetime
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from pathlib import Path
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# ============================
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# USER DATABASE
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@@ -33,6 +34,23 @@ else:
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]
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}
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# ============================
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# HELPERS
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# ============================
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@@ -112,13 +130,6 @@ def generate_variants(kind, goal, tone, audience, length, constraints, language,
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return variants
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def generate_json(username, tier, goal, kind, tone, audience, length, constraints, language, n):
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goal = normalize(goal, "Describe the task clearly.")
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tone = normalize(tone, "neutral")
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audience = normalize(audience, "general")
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length = normalize(length, "medium")
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constraints = normalize(constraints, "none")
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language = normalize(language, "Indonesian")
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limits = {"free": 5, "premium": 10, "super": 20}
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n = max(1, min(limits[tier], int(n)))
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@@ -154,9 +165,7 @@ with gr.Blocks() as demo:
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login_user = gr.State("")
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login_tier = gr.State("free")
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#
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# LOGIN UI
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# ============================
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with gr.Group(visible=True) as login_ui:
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gr.Markdown("# π Login untuk Menggunakan AIPromptLab")
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@@ -165,14 +174,28 @@ with gr.Blocks() as demo:
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login_btn = gr.Button("Login")
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login_msg = gr.Markdown("")
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#
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# MAIN FEATURE UI (HIDDEN FIRST)
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# ============================
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with gr.Group(visible=False) as main_ui:
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gr.Markdown("# π AIPromptLab β JSON Output Edition")
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kind = gr.Radio(["text", "image", "code"], value="text")
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tone = gr.Textbox(label="Tone")
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audience = gr.Textbox(label="Audience")
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@@ -185,15 +208,13 @@ with gr.Blocks() as demo:
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output_json = gr.Textbox(label="Output JSON", lines=25, elem_id="json-output")
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copy_btn = gr.Button("Copy JSON")
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#
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# LOGIN LOGIC
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# ============================
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def handle_login(username, password):
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ok, tier, msg = login(username, password)
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return (
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msg,
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gr.update(visible=not ok),
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gr.update(visible=ok),
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ok,
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username if ok else "",
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tier if ok else "free"
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@@ -205,27 +226,30 @@ with gr.Blocks() as demo:
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[login_msg, login_ui, main_ui, login_status, login_user, login_tier]
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)
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#
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# GENERATE JSON
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# ============================
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def handle_generate(login_status, login_user, login_tier,
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if not login_status:
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return "β Anda belum login."
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return generate_json(login_user, login_tier, goal, kind, tone, audience, length, constraints, language, n)
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generate_btn.click(
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handle_generate,
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[login_status, login_user, login_tier,
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output_json
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)
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#
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# COPY JSON (SAFE FOR GRADIO 6.x)
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# ============================
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copy_btn.click(
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None,
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None,
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js="navigator.clipboard.writeText(document.getElementById('json-output').value)"
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)
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#
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# LAUNCH (share=True FIX)
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# ============================
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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 json
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from datetime import datetime
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from pathlib import Path
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from PIL import Image
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# ============================
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# USER DATABASE
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]
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}
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# ============================
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# IMAGE CAPTIONING MODEL
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# ============================
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from transformers import BlipProcessor, BlipForConditionalGeneration
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processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
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model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
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def describe_image(img):
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if img is None:
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return ""
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image = Image.open(img)
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inputs = processor(image, return_tensors="pt")
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out = model.generate(**inputs)
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caption = processor.decode(out[0], skip_special_tokens=True)
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return caption
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# ============================
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# HELPERS
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# ============================
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return variants
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def generate_json(username, tier, goal, kind, tone, audience, length, constraints, language, n):
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limits = {"free": 5, "premium": 10, "super": 20}
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n = max(1, min(limits[tier], int(n)))
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login_user = gr.State("")
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login_tier = gr.State("free")
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# LOGIN UI
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with gr.Group(visible=True) as login_ui:
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gr.Markdown("# π Login untuk Menggunakan AIPromptLab")
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login_btn = gr.Button("Login")
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login_msg = gr.Markdown("")
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# MAIN UI (hidden first)
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with gr.Group(visible=False) as main_ui:
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gr.Markdown("# π AIPromptLab β JSON Output Edition")
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input_mode = gr.Radio(["text", "image"], value="text", label="Input Mode")
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text_input = gr.Textbox(label="Text Input", visible=True)
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image_input = gr.Image(label="Upload Image", type="filepath", visible=False)
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def switch_input(mode):
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return (
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gr.update(visible=(mode=="text")),
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gr.update(visible=(mode=="image"))
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)
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input_mode.change(
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switch_input,
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[input_mode],
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[text_input, image_input]
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)
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kind = gr.Radio(["text", "image", "code"], value="text")
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tone = gr.Textbox(label="Tone")
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audience = gr.Textbox(label="Audience")
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output_json = gr.Textbox(label="Output JSON", lines=25, elem_id="json-output")
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copy_btn = gr.Button("Copy JSON")
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# LOGIN LOGIC
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def handle_login(username, password):
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ok, tier, msg = login(username, password)
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return (
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msg,
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gr.update(visible=not ok),
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gr.update(visible=ok),
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ok,
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username if ok else "",
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tier if ok else "free"
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[login_msg, login_ui, main_ui, login_status, login_user, login_tier]
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)
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# GENERATE JSON
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def handle_generate(login_status, login_user, login_tier,
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input_mode, text_input, image_input,
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kind, tone, audience, length, constraints, language, n):
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if not login_status:
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return "β Anda belum login."
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if input_mode == "text":
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goal = text_input
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else:
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goal = describe_image(image_input)
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return generate_json(login_user, login_tier, goal, kind, tone, audience, length, constraints, language, n)
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generate_btn.click(
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handle_generate,
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[login_status, login_user, login_tier,
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input_mode, text_input, image_input,
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kind, tone, audience, length, constraints, language, n],
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output_json
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)
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# COPY JSON
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copy_btn.click(
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None,
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None,
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js="navigator.clipboard.writeText(document.getElementById('json-output').value)"
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)
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# LAUNCH
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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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