Update app.py

app.py

@@ -10,6 +10,9 @@ import tempfile
 import shlex
 import shutil
 
+# Predefined password
+PASSWORD = "your_password_here"  # Change this to your desired password
+
 # Supported models configuration
 MODELS = {
     "deepseek-ai/DeepSeek-V3": {
@@ -277,116 +280,147 @@ def update(
                 raise gr.Error(e)
 
 
+# Password protection logic
+def check_password(password):
+    return password == PASSWORD
+
+
+# Gradio app with password protection
 with gr.Blocks() as demo:
-    gr.Markdown(
-        """
+    # Login interface
+    with gr.Row():
+        password_input = gr.Textbox(label="Enter Password", type="password")
+        login_button = gr.LoginButton(label="Login")
+        logout_button = gr.LogoutButton(label="Logout")
+
+    # Main app interface (hidden by default)
+    with gr.Row(visible=False) as main_interface:
+        gr.Markdown(
+            """
             # 🏞 AI Video Composer (AI နဲ့ Video ပေါင်းစပ်ဖန်တီးမှု နည်းပညာ )
             AI အသုံးပြုပြီး ကိုယ့်မှာရှိသည့် ပုံ အသံဖိုင် video ဖိုင် စသည့် media fil များကို ပေါင်းစပ်ပြီး video ထုတ်ခိုင်းနိုင်ပါတယ် and let [Qwen2.5-Code] or [DeepSeek-V3 for Myanmar prompt] generate a new video for you (using FFMPEG).
         """,
-        elem_id="header",
-    )
-    with gr.Row():
-        with gr.Column():
-            user_files = gr.File(
-                file_count="multiple",
-                label="Media files",
-                file_types=allowed_medias,
-            )
-            user_prompt = gr.Textbox(
-                placeholder="eg: Remove the 3 first seconds of the video",
-                label="Instructions",
-            )
-            btn = gr.Button("Run")
-            with gr.Accordion("Parameters", open=False):
-                model_choice = gr.Radio(
-                    choices=list(MODELS.keys()),
-                    value=list(MODELS.keys())[0],
-                    label="Model",
+            elem_id="header",
+        )
+        with gr.Row():
+            with gr.Column():
+                user_files = gr.File(
+                    file_count="multiple",
+                    label="Media files",
+                    file_types=allowed_medias,
                 )
-                top_p = gr.Slider(
-                    minimum=-0,
-                    maximum=1.0,
-                    value=0.7,
-                    step=0.05,
-                    interactive=True,
-                    label="Top-p (nucleus sampling)",
+                user_prompt = gr.Textbox(
+                    placeholder="eg: Remove the 3 first seconds of the video",
+                    label="Instructions",
                 )
-                temperature = gr.Slider(
-                    minimum=-0,
-                    maximum=5.0,
-                    value=0.1,
-                    step=0.1,
-                    interactive=True,
-                    label="Temperature",
+                btn = gr.Button("Run")
+                with gr.Accordion("Parameters", open=False):
+                    model_choice = gr.Radio(
+                        choices=list(MODELS.keys()),
+                        value=list(MODELS.keys())[0],
+                        label="Model",
+                    )
+                    top_p = gr.Slider(
+                        minimum=-0,
+                        maximum=1.0,
+                        value=0.7,
+                        step=0.05,
+                        interactive=True,
+                        label="Top-p (nucleus sampling)",
+                    )
+                    temperature = gr.Slider(
+                        minimum=-0,
+                        maximum=5.0,
+                        value=0.1,
+                        step=0.1,
+                        interactive=True,
+                        label="Temperature",
+                    )
+            with gr.Column():
+                generated_video = gr.Video(
+                    interactive=False, label="Generated Video", include_audio=True
                 )
-        with gr.Column():
-            generated_video = gr.Video(
-                interactive=False, label="Generated Video", include_audio=True
-            )
-            generated_command = gr.Markdown()
+                generated_command = gr.Markdown()
 
-        btn.click(
-            fn=update,
-            inputs=[user_files, user_prompt, top_p, temperature, model_choice],
-            outputs=[generated_video, generated_command],
-        )
-    with gr.Row():
-        gr.Examples(
-            examples=[
-                [
-                    ["./examples/ai_talk.wav", "./examples/bg-image.png"],
-                    "Use the image as the background with a waveform visualization for the audio positioned in center of the video.",
-                    0.7,
-                    0.1,
-                    (
-                        list(MODELS.keys())[1]
-                        if len(MODELS) > 1
-                        else list(MODELS.keys())[0]
-                    ),
-                ],
-                [
-                    ["./examples/ai_talk.wav", "./examples/bg-image.png"],
-                    "Use the image as the background with a waveform visualization for the audio positioned in center of the video. Make sure the waveform has a max height of 250 pixels.",
-                    0.7,
-                    0.1,
-                    list(MODELS.keys())[0],
-                ],
-                [
+            btn.click(
+                fn=update,
+                inputs=[user_files, user_prompt, top_p, temperature, model_choice],
+                outputs=[generated_video, generated_command],
+            )
+        with gr.Row():
+            gr.Examples(
+                examples=[
+                    [
+                        ["./examples/ai_talk.wav", "./examples/bg-image.png"],
+                        "Use the image as the background with a waveform visualization for the audio positioned in center of the video.",
+                        0.7,
+                        0.1,
+                        (
+                            list(MODELS.keys())[1]
+                            if len(MODELS) > 1
+                            else list(MODELS.keys())[0]
+                        ),
+                    ],
+                    [
+                        ["./examples/ai_talk.wav", "./examples/bg-image.png"],
+                        "Use the image as the background with a waveform visualization for the audio positioned in center of the video. Make sure the waveform has a max height of 250 pixels.",
+                        0.7,
+                        0.1,
+                        list(MODELS.keys())[0],
+                    ],
                     [
-                        "./examples/cat1.jpeg",
-                        "./examples/cat2.jpeg",
-                        "./examples/cat3.jpeg",
-                        "./examples/cat4.jpeg",
-                        "./examples/cat5.jpeg",
-                        "./examples/cat6.jpeg",
-                        "./examples/heat-wave.mp3",
+                        [
+                            "./examples/cat1.jpeg",
+                            "./examples/cat2.jpeg",
+                            "./examples/cat3.jpeg",
+                            "./examples/cat4.jpeg",
+                            "./examples/cat5.jpeg",
+                            "./examples/cat6.jpeg",
+                            "./examples/heat-wave.mp3",
+                        ],
+                        "နောက်ခံတေးဂီတအဖြစ် အသံဖြင့် cat3 ရုပ်ပုံနှင့် cat4, cat5 ရုပ်ပုံများကို သုံးပါ။ ဗီဒီယိုကြာချိန်ကို အသံကြာချိန်နှင့် ကိုက်ညီအောင်လုပ်ပါ။ cat3 ပုံဖြင့် စပါ။ 10 စက္ကန့်ကြာပြီးနောက် cat4 ပုံကို ပြောင်းပါ။ 20 စက္ကန့်ကြာပြီးနောက် cat5 ပုံကို ပြောင်းပါ။",
+                        0.7,
+                        0.1,
+                        (
+                            list(MODELS.keys())[0]
+                            if len(MODELS) > 1
+                            else list(MODELS.keys())[0]
+                        ),
                     ],
-                    "နောက်ခံတေးဂီတအဖြစ် အသံဖြင့် cat3 ရုပ်ပုံနှင့် cat4, cat5 ရုပ်ပုံများကို သုံးပါ။ ဗီဒီယိုကြာချိန်ကို အသံကြာချိန်နှင့် ကိုက်ညီအောင်လုပ်ပါ။ cat3 ပုံဖြင့် စပါ။ 10 စက္ကန့်ကြာပြီးနောက် cat4 ပုံကို ပြောင်းပါ။ 20 စက္ကန့်ကြာပြီးနောက် cat5 ပုံကို ပြောင်းပါ။",
-                    0.7,
-                    0.1,
-                    (
-                        list(MODELS.keys())[0]
-                        if len(MODELS) > 1
-                        else list(MODELS.keys())[0]
-                    ),
                 ],
-            ],
-            inputs=[user_files, user_prompt, top_p, temperature, model_choice],
-            outputs=[generated_video, generated_command],
-            fn=update,
-            run_on_click=True,
-            cache_examples=False,
-        )
+                inputs=[user_files, user_prompt, top_p, temperature, model_choice],
+                outputs=[generated_video, generated_command],
+                fn=update,
+                run_on_click=True,
+                cache_examples=False,
+            )
 
-    with gr.Row():
-        gr.Markdown(
-            """
-            If you have idea to improve this please open a PR:
+        with gr.Row():
+            gr.Markdown(
+                """
+                If you have idea to improve this please open a PR:
 
-            [![Open a Pull Request](https://huggingface.co/datasets/huggingface/badges/raw/main/open-a-pr-lg-light.svg)](https://huggingface.co/spaces/huggingface-projects/video-composer-gpt4/discussions)
-            """,
-        )
+                [![Open a Pull Request](https://huggingface.co/datasets/huggingface/badges/raw/main/open-a-pr-lg-light.svg)](https://huggingface.co/spaces/huggingface-projects/video-composer-gpt4/discussions)
+                """,
+            )
+
+    # Show/hide main interface based on login status
+    def toggle_interface(is_logged_in):
+        return gr.update(visible=is_logged_in)
+
+    login_button.click(
+        fn=check_password,
+        inputs=password_input,
+        outputs=None,
+        success=toggle_interface,
+        queue=False,
+    )
+    logout_button.click(
+        fn=lambda: False,
+        outputs=main_interface,
+        queue=False,
+    )
 
 # Launch the app with embedding enabled
 demo.queue(default_concurrency_limit=200)
-demo.launch(show_api=False, ssr_mode=True, share=True, inline=True)
+demo.launch(show_api=False, ssr_mode=False, share=True, inline=True)