Update app.py
Browse files
app.py
CHANGED
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@@ -7,7 +7,7 @@ Multi-Modal AI Analysis (Vision + Text) + Multi-Language Support
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🚀 Key Features:
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- SambaNova Llama-4-Maverick Integration
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- Multi-Language Support (German, Chinese,
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- Advanced Gradio Interface
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- Advanced Error Handling & Security
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@@ -348,40 +348,40 @@ class AdvancedInstagramGenerator:
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return f"🇨🇳 CHINESE VERSION (Fallback):\n{translated}"
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def
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"""Fallback
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# Simple keyword-based translation for common Instagram terms
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"amazing": "
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"beautiful": "
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"love": "
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"perfect": "
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"awesome": "
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"incredible": "
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"follow": "
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"like": "
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"share": "
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"comment": "
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"today": "
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"moment": "
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"life": "
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"inspiration": "
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"community": "
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"content": "
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"check out": "
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"what do you think": "
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}
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# Basic word replacement (not perfect but functional fallback)
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translated = text.lower()
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for english,
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translated = translated.replace(english,
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# Add
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if "#" in translated:
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translated += "
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return f"
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def get_fallback_arabic_translation(self, text: str) -> str:
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"""Fallback Arabic translation when HF API fails"""
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@@ -1210,13 +1210,13 @@ async def translate_caption_interface(base_caption, selected_languages):
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def create_gradio_app():
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"""Create the Gradio app with
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# Status indicators
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hf_status = "✅ Connected" if generator and generator.hf_client_working else "⚠️ Fallback Mode"
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sambanova_status = "✅ Connected" if generator and generator.sambanova_client_working else "⚠️ Fallback Mode"
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#
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css = """
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@import url('https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@300;400;500;600;700&display=swap');
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@@ -1224,107 +1224,136 @@ def create_gradio_app():
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background: linear-gradient(135deg, #667eea 0%, #764ba2 25%, #f093fb 50%, #f5576c 75%, #4facfe 100%);
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font-family: 'Space Grotesk', 'Inter', system-ui, sans-serif;
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min-height: 100vh;
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}
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.main-header {
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text-align: center;
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color: white;
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margin-bottom:
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padding:
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background: rgba(255,255,255,0.1);
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border-radius:
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backdrop-filter: blur(
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border:
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box-shadow: 0
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}
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.feature-card {
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background: rgba(255,255,255,0.
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border-radius:
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padding:
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backdrop-filter: blur(
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border: 1px solid rgba(255,255,255,0.
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box-shadow: 0
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-
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}
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.gradio-button-primary {
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background: linear-gradient(45deg, #ff6b6b, #ee5a24, #ff9ff3, #54a0ff) !important;
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border: none !important;
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border-radius:
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padding:
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font-weight:
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-
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-
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transition: all 0.3s ease !important;
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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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background: linear-gradient(45deg, #feca57, #ff9ff3, #54a0ff, #5f27cd) !important;
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border: none !important;
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border-radius: 12px !important;
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padding: 12px 20px !important;
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font-weight: 600 !important;
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color: white !important;
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box-shadow: 0 8px 16px rgba(254, 202, 87, 0.3) !important;
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}
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-
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.status-badge {
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background: linear-gradient(90deg, #2ecc71, #27ae60);
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color: white;
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padding:
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border-radius:
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text-align: center;
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font-weight: 600;
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box-shadow: 0
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-
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}
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}
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"""
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with gr.Blocks(css=css, title="📱 Instagram Generator", theme=gr.themes.Glass()) as app:
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# Main Header
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gr.HTML(
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<div class="main-header">
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<h1 style="font-size:
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📱 INSTAGRAM CAPTION GENERATOR
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</h1>
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<h2 style="font-size: 1.
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🚀
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</h2>
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<div style="display: flex; justify-content: center; gap: 20px; margin-top:
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<span style="background: rgba(255,255,255,0.2); padding: 8px 16px; border-radius:
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<span style="background: rgba(255,255,255,0.2); padding: 8px 16px; border-radius:
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</div>
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</div>
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""")
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# Main Interface
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with gr.Tab("🎯 Caption Generator"):
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with gr.Row():
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# Left Column - Controls
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with gr.Column(scale=2, elem_classes=["feature-card"
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gr.Markdown("### 🖼️ Upload
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gr.Markdown("*SambaNova AI vision analysis with quality scoring*")
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images = gr.File(
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label="📸 Upload Images (Max 3)",
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file_count="multiple",
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file_types=["image"]
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height=200
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)
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gr.Markdown("### ⚙️ Configuration")
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with gr.Row():
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caption_style = gr.Dropdown(
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"💪 Fitness Community",
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"👗 Fashion Forward",
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"💻 Tech Innovators",
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"🎨 Creative Artists"
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],
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value="🌟 General Audience",
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label="👥 Target Audience"
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)
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custom_prompt = gr.Textbox(
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label="💬
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placeholder="e.g., 'Focus on sustainability', 'Include product details'...",
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lines=
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)
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generate_btn = gr.Button(
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"🚀 Generate Caption",
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variant="primary"
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size="lg"
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)
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# Right Column - Results
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with gr.Column(scale=3, elem_classes=["feature-card"]):
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gr.Markdown("### 📊 Generated Content")
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output = gr.Textbox(
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label="🎯 Generated Caption",
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lines=15,
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max_lines=20,
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show_copy_button=True,
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placeholder="Upload images and generate your Instagram content..."
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)
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-
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scale=1
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)
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alternatives_output = gr.Textbox(
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label="✨ Alternative Captions",
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lines=15,
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show_copy_button=True,
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placeholder="Generate 3 different caption alternatives
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)
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# Multi-Language Tab
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with gr.Tab("🌍 Multi-Language"):
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with gr.Row():
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with gr.Column(
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gr.Markdown("### 🗣️ Global Content Creation")
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gr.Markdown("*
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base_caption_input = gr.Textbox(
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label="📝 Base Caption",
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variant="primary"
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)
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with gr.Column(
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multilingual_output = gr.Textbox(
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label="🗺️ Multi-Language Captions",
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lines=20,
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@@ -1435,7 +1462,7 @@ def create_gradio_app():
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# SambaNova Features Tab
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with gr.Tab("🤖 SambaNova Features"):
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gr.HTML(f"""
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<div class="status
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🚀 SambaNova Status: {sambanova_status} • 🦙 Llama-4-Maverick + Llama-3.2-3B
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</div>
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""")
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@@ -1510,7 +1537,7 @@ variations = client.chat.completions.create(
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# Hugging Face Features Tab
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with gr.Tab("🤗 Hugging Face Features"):
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gr.HTML(f"""
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<div class="status
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🤗 Hugging Face Status: {hf_status} • 🌍 Multi-Language Translation
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</div>
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""")
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outputs=[output, base_caption_input]
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)
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# Generate multiple alternatives
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alternatives_btn.click(
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fn=generate_multiple_captions_interface,
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inputs=[images, caption_style, target_audience, custom_prompt],
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outputs=alternatives_output
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)
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# Multi-language translation
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translate_btn.click(
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fn=translate_caption_interface,
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inputs=[base_caption_input, language_selector],
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🚀 Key Features:
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- SambaNova Llama-4-Maverick Integration
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- Multi-Language Support (German, Chinese, Hindi, Arabic via Hugging Face)
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- Advanced Gradio Interface
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- Advanced Error Handling & Security
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return f"🇨🇳 CHINESE VERSION (Fallback):\n{translated}"
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def get_fallback_hindi_translation(self, text: str) -> str:
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"""Fallback Hindi translation when HF API fails"""
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# Simple keyword-based translation for common Instagram terms
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hindi_translations = {
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"amazing": "अद्भुत",
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"beautiful": "सुंदर",
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"love": "प्रेम",
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"perfect": "परफेक्ट",
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"awesome": "शानदार",
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"incredible": "अविश्वसनीय",
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"follow": "फॉलो",
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"like": "लाइक",
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"share": "शेयर",
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"comment": "कमेंट",
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"today": "आज",
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"moment": "पल",
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"life": "जिंदगी",
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"inspiration": "प्रेरणा",
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"community": "समुदाय",
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"content": "सामग्री",
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"check out": "देखें",
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"what do you think": "आपको क्या लगता है"
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}
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# Basic word replacement (not perfect but functional fallback)
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translated = text.lower()
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for english, hindi in hindi_translations.items():
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translated = translated.replace(english, hindi)
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# Add Hindi hashtags
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if "#" in translated:
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translated += " #भारत #हिंदी #सोशलमीडिया #कंटेंट"
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return f"🇮🇳 HINDI VERSION (Fallback):\n{translated}"
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def get_fallback_arabic_translation(self, text: str) -> str:
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"""Fallback Arabic translation when HF API fails"""
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def create_gradio_app():
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"""Create the Gradio app with SambaNova and Hugging Face integration"""
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# Status indicators
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hf_status = "✅ Connected" if generator and generator.hf_client_working else "⚠️ Fallback Mode"
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sambanova_status = "✅ Connected" if generator and generator.sambanova_client_working else "⚠️ Fallback Mode"
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# Championship-level CSS from app.py
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css = """
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@import url('https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@300;400;500;600;700&display=swap');
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background: linear-gradient(135deg, #667eea 0%, #764ba2 25%, #f093fb 50%, #f5576c 75%, #4facfe 100%);
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font-family: 'Space Grotesk', 'Inter', system-ui, sans-serif;
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min-height: 100vh;
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position: relative;
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overflow-x: hidden;
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}
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.gradio-container::before {
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content: '';
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position: absolute;
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top: 0;
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left: 0;
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right: 0;
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bottom: 0;
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background: radial-gradient(circle at 20% 80%, rgba(120, 119, 198, 0.3) 0%, transparent 50%),
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radial-gradient(circle at 80% 20%, rgba(255, 119, 198, 0.3) 0%, transparent 50%);
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pointer-events: none;
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z-index: 1;
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}
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.main-header {
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text-align: center;
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color: white;
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margin-bottom: 40px;
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padding: 40px;
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background: rgba(255,255,255,0.1);
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border-radius: 30px;
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backdrop-filter: blur(30px);
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border: 2px solid rgba(255,255,255,0.2);
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box-shadow: 0 25px 50px rgba(0,0,0,0.1);
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position: relative;
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z-index: 2;
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animation: float 6s ease-in-out infinite;
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}
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@keyframes float {
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0%, 100% { transform: translateY(0px); }
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50% { transform: translateY(-10px); }
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}
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.feature-card {
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background: rgba(255,255,255,0.15);
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border-radius: 25px;
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padding: 30px;
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backdrop-filter: blur(20px);
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border: 1px solid rgba(255,255,255,0.3);
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box-shadow: 0 20px 40px rgba(0,0,0,0.1);
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transition: all 0.4s cubic-bezier(0.4, 0, 0.2, 1);
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position: relative;
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z-index: 2;
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}
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.gradio-button-primary {
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background: linear-gradient(45deg, #ff6b6b, #ee5a24, #ff9ff3, #54a0ff) !important;
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background-size: 300% 300% !important;
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animation: gradient-shift 4s ease infinite !important;
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border: none !important;
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border-radius: 20px !important;
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padding: 18px 35px !important;
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font-weight: 700 !important;
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text-transform: uppercase !important;
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letter-spacing: 2px !important;
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box-shadow: 0 15px 35px rgba(255, 107, 107, 0.4) !important;
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transition: all 0.3s ease !important;
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position: relative !important;
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overflow: hidden !important;
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}
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| 1291 |
|
| 1292 |
+
@keyframes gradient-shift {
|
| 1293 |
+
0% { background-position: 0% 50%; }
|
| 1294 |
+
50% { background-position: 100% 50%; }
|
| 1295 |
+
100% { background-position: 0% 50%; }
|
| 1296 |
}
|
| 1297 |
|
| 1298 |
+
.sambanova-status {
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1299 |
background: linear-gradient(90deg, #2ecc71, #27ae60);
|
| 1300 |
color: white;
|
| 1301 |
+
padding: 15px 25px;
|
| 1302 |
+
border-radius: 15px;
|
| 1303 |
text-align: center;
|
| 1304 |
font-weight: 600;
|
| 1305 |
+
box-shadow: 0 10px 20px rgba(46, 204, 113, 0.3);
|
| 1306 |
+
animation: pulse 2s infinite;
|
| 1307 |
}
|
| 1308 |
|
| 1309 |
+
@keyframes pulse {
|
| 1310 |
+
0% { box-shadow: 0 10px 20px rgba(46, 204, 113, 0.3); }
|
| 1311 |
+
50% { box-shadow: 0 15px 30px rgba(46, 204, 113, 0.5); }
|
| 1312 |
+
100% { box-shadow: 0 10px 20px rgba(46, 204, 113, 0.3); }
|
| 1313 |
}
|
| 1314 |
"""
|
| 1315 |
|
| 1316 |
+
with gr.Blocks(css=css, title="📱 Instagram Generator - MCP Hackathon 2025", theme=gr.themes.Glass()) as app:
|
| 1317 |
|
| 1318 |
# Main Header
|
| 1319 |
+
gr.HTML("""
|
| 1320 |
<div class="main-header">
|
| 1321 |
+
<h1 style="font-size: 3rem; margin-bottom: 15px; font-weight: 800; background: linear-gradient(45deg, #ff6b6b, #feca57, #ff9ff3, #54a0ff); -webkit-background-clip: text; -webkit-text-fill-color: transparent;">
|
| 1322 |
📱 INSTAGRAM CAPTION GENERATOR
|
| 1323 |
</h1>
|
| 1324 |
+
<h2 style="font-size: 1.4rem; margin-bottom: 20px; opacity: 0.9; font-weight: 500;">
|
| 1325 |
+
🚀 MCP Hackathon 2025 Submission • SambaNova + Hugging Face Edition
|
| 1326 |
</h2>
|
| 1327 |
+
<div style="display: flex; justify-content: center; gap: 20px; margin-top: 25px;">
|
| 1328 |
+
<span style="background: rgba(255,255,255,0.2); padding: 8px 16px; border-radius: 20px; font-size: 0.9rem;">🤖 SambaNova AI</span>
|
| 1329 |
+
<span style="background: rgba(255,255,255,0.2); padding: 8px 16px; border-radius: 20px; font-size: 0.9rem;">🌍 Multi-Language</span>
|
| 1330 |
+
<span style="background: rgba(255,255,255,0.2); padding: 8px 16px; border-radius: 20px; font-size: 0.9rem;">🔗 MCP Server</span>
|
| 1331 |
</div>
|
| 1332 |
</div>
|
| 1333 |
""")
|
| 1334 |
|
| 1335 |
+
# Status Indicators
|
| 1336 |
+
gr.HTML(f"""
|
| 1337 |
+
<div class="sambanova-status">
|
| 1338 |
+
🚀 SambaNova: {sambanova_status} • 🤗 Hugging Face: {hf_status} • Ready for Deployment!
|
| 1339 |
+
</div>
|
| 1340 |
+
""")
|
| 1341 |
+
|
| 1342 |
# Main Interface
|
| 1343 |
+
with gr.Tab("🎯 Advanced Caption Generator"):
|
| 1344 |
with gr.Row():
|
| 1345 |
# Left Column - Controls
|
| 1346 |
+
with gr.Column(scale=2, elem_classes=["feature-card"]):
|
| 1347 |
+
gr.Markdown("### 🖼️ Multi-Image Upload & Analysis")
|
| 1348 |
gr.Markdown("*SambaNova AI vision analysis with quality scoring*")
|
| 1349 |
|
| 1350 |
images = gr.File(
|
| 1351 |
label="📸 Upload Images (Max 3)",
|
| 1352 |
file_count="multiple",
|
| 1353 |
+
file_types=["image"]
|
|
|
|
| 1354 |
)
|
| 1355 |
|
| 1356 |
+
gr.Markdown("### ⚙️ AI Configuration")
|
| 1357 |
|
| 1358 |
with gr.Row():
|
| 1359 |
caption_style = gr.Dropdown(
|
|
|
|
| 1380 |
"💪 Fitness Community",
|
| 1381 |
"👗 Fashion Forward",
|
| 1382 |
"💻 Tech Innovators",
|
| 1383 |
+
"🎨 Creative Artists",
|
| 1384 |
+
"🌱 Sustainability Advocates",
|
| 1385 |
+
"🎵 Music Fans"
|
| 1386 |
],
|
| 1387 |
value="🌟 General Audience",
|
| 1388 |
label="👥 Target Audience"
|
| 1389 |
)
|
| 1390 |
|
| 1391 |
custom_prompt = gr.Textbox(
|
| 1392 |
+
label="💬 Advanced Instructions",
|
| 1393 |
+
placeholder="e.g., 'Focus on sustainability messaging', 'Include product launch details', 'Emphasize community building'...",
|
| 1394 |
+
lines=3
|
| 1395 |
)
|
| 1396 |
|
| 1397 |
generate_btn = gr.Button(
|
| 1398 |
"🚀 Generate Caption",
|
| 1399 |
+
variant="primary"
|
|
|
|
| 1400 |
)
|
| 1401 |
|
| 1402 |
# Right Column - Results
|
| 1403 |
with gr.Column(scale=3, elem_classes=["feature-card"]):
|
| 1404 |
+
gr.Markdown("### 📊 AI-Generated Content")
|
| 1405 |
|
| 1406 |
output = gr.Textbox(
|
| 1407 |
label="🎯 Generated Caption",
|
| 1408 |
lines=15,
|
|
|
|
| 1409 |
show_copy_button=True,
|
| 1410 |
+
placeholder="Upload images and generate your Instagram content with AI..."
|
| 1411 |
)
|
| 1412 |
|
| 1413 |
+
alternatives_btn = gr.Button(
|
| 1414 |
+
"✨ Generate 3 Alternative Captions",
|
| 1415 |
+
variant="secondary"
|
| 1416 |
+
)
|
|
|
|
|
|
|
| 1417 |
|
| 1418 |
alternatives_output = gr.Textbox(
|
| 1419 |
label="✨ Alternative Captions",
|
| 1420 |
lines=15,
|
| 1421 |
show_copy_button=True,
|
| 1422 |
+
placeholder="Generate 3 different caption alternatives..."
|
| 1423 |
)
|
| 1424 |
|
| 1425 |
# Multi-Language Tab
|
| 1426 |
+
with gr.Tab("🌍 Multi-Language Generator"):
|
| 1427 |
with gr.Row():
|
| 1428 |
+
with gr.Column():
|
| 1429 |
gr.Markdown("### 🗣️ Global Content Creation")
|
| 1430 |
+
gr.Markdown("*Featuring Hugging Face Helsinki-NLP Translation Models*")
|
| 1431 |
|
| 1432 |
base_caption_input = gr.Textbox(
|
| 1433 |
label="📝 Base Caption",
|
|
|
|
| 1451 |
variant="primary"
|
| 1452 |
)
|
| 1453 |
|
| 1454 |
+
with gr.Column():
|
| 1455 |
multilingual_output = gr.Textbox(
|
| 1456 |
label="🗺️ Multi-Language Captions",
|
| 1457 |
lines=20,
|
|
|
|
| 1462 |
# SambaNova Features Tab
|
| 1463 |
with gr.Tab("🤖 SambaNova Features"):
|
| 1464 |
gr.HTML(f"""
|
| 1465 |
+
<div class="sambanova-status">
|
| 1466 |
🚀 SambaNova Status: {sambanova_status} • 🦙 Llama-4-Maverick + Llama-3.2-3B
|
| 1467 |
</div>
|
| 1468 |
""")
|
|
|
|
| 1537 |
# Hugging Face Features Tab
|
| 1538 |
with gr.Tab("🤗 Hugging Face Features"):
|
| 1539 |
gr.HTML(f"""
|
| 1540 |
+
<div class="sambanova-status">
|
| 1541 |
🤗 Hugging Face Status: {hf_status} • 🌍 Multi-Language Translation
|
| 1542 |
</div>
|
| 1543 |
""")
|
|
|
|
| 1621 |
outputs=[output, base_caption_input]
|
| 1622 |
)
|
| 1623 |
|
|
|
|
| 1624 |
alternatives_btn.click(
|
| 1625 |
fn=generate_multiple_captions_interface,
|
| 1626 |
inputs=[images, caption_style, target_audience, custom_prompt],
|
| 1627 |
outputs=alternatives_output
|
| 1628 |
)
|
| 1629 |
|
|
|
|
| 1630 |
translate_btn.click(
|
| 1631 |
fn=translate_caption_interface,
|
| 1632 |
inputs=[base_caption_input, language_selector],
|