Revert: Move frontend files back to root for HF Spaces compatibility

app.py

@@ -6,8 +6,8 @@ import traceback
 # --- Configuration ---
 # This is the name of your Modal stub.
 MODAL_STUB_NAME = "vibevoice-generator"
-# This is the name of the remote class and method to call.
-MODAL_FUNCTION_NAME = "VibeVoiceModel.generate_podcast"
+MODAL_CLASS_NAME = "VibeVoiceModel" # Extract class name
+MODAL_METHOD_NAME = "generate_podcast" # Extract method name
 
 # These lists are now hardcoded because the data lives on the Modal container.
 # For a more dynamic app, you could create a small Modal function to fetch these lists.
@@ -21,9 +21,12 @@ DEFAULT_SPEAKERS = ['en-Alice_woman', 'en-Carter_man', 'en-Frank_man', 'en-Maya_
 
 # --- Modal Connection ---
 try:
-    # This looks up the remote function on Modal
-    # It will raise an error if the app isn't deployed (`modal deploy modal_runner.py`)
-    remote_generate_function = modal.Function.lookup(MODAL_STUB_NAME, MODAL_FUNCTION_NAME)
+    # Look up the remote class
+    RemoteVibeVoiceModel = modal.Cls.from_name(MODAL_STUB_NAME, MODAL_CLASS_NAME)
+    # Create an instance of the remote class
+    remote_model_instance = RemoteVibeVoiceModel()
+    # Get the remote method
+    remote_generate_function = remote_model_instance.generate_podcast
     print("Successfully connected to Modal function.")
 except modal.exception.NotFoundError:
     print("ERROR: Modal function not found.")

frontend_app/README.md

@@ -1,12 +0,0 @@
----
-title: Conference Generator VibeVoice
-emoji: ⭐
-colorFrom: indigo
-colorTo: red
-sdk: gradio
-sdk_version: "5.44.1"
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

frontend_app/app.py

@@ -1,174 +0,0 @@
-import os
-import gradio as gr
-import modal
-import traceback
-
-# --- Configuration ---
-# This is the name of your Modal stub.
-MODAL_STUB_NAME = "vibevoice-generator"
-# This is the name of the remote class and method to call.
-MODAL_FUNCTION_NAME = "VibeVoiceModel.generate_podcast"
-
-# These lists are now hardcoded because the data lives on the Modal container.
-# For a more dynamic app, you could create a small Modal function to fetch these lists.
-AVAILABLE_MODELS = ["VibeVoice-1.5B", "VibeVoice-7B"]
-AVAILABLE_VOICES = [
-    "en-Alice_woman_bgm", "en-Alice_woman", "en-Carter_man", "en-Frank_man",
-    "en-Maya_woman", "en-Yasser_man", "in-Samuel_man", "zh-Anchen_man_bgm",
-    "zh-Bowen_man", "zh-Xinran_woman"
-]
-DEFAULT_SPEAKERS = ['en-Alice_woman', 'en-Carter_man', 'en-Frank_man', 'en-Maya_woman']
-
-# --- Modal Connection ---
-try:
-    # This looks up the remote function on Modal
-    # It will raise an error if the app isn't deployed (`modal deploy modal_runner.py`)
-    remote_generate_function = modal.Function.lookup(MODAL_STUB_NAME, MODAL_FUNCTION_NAME)
-    print("Successfully connected to Modal function.")
-except modal.exception.NotFoundError:
-    print("ERROR: Modal function not found.")
-    print(f"Please deploy the Modal app first by running: modal deploy modal_runner.py")
-    remote_generate_function = None
-
-# --- Gradio UI Definition ---
-theme = gr.themes.Ocean(
-    primary_hue="indigo",
-    secondary_hue="fuchsia",
-    neutral_hue="slate",
-).set(
-    button_large_radius='*radius_sm'
-)
-
-def create_demo_interface():
-    with gr.Blocks(
-        title="VibeVoice - Conference Generator",
-        theme=theme,
-    ) as interface:
-        gr.HTML("""
-        <div style="width: 100%; margin-bottom: 20px;">
-            <img src="https://huggingface.co/spaces/ACloudCenter/Conference-Generator-VibeVoice/resolve/main/public/images/banner.png" 
-                style="width: 100%; height: auto; border-radius: 15px; box-shadow: 0 10px 40px rgba(0,0,0,0.2);"
-                alt="VibeVoice Banner">
-        </div>
-        """)
-        gr.Markdown("## GPU processing is now offloaded to a Modal.com backend!")
-        
-        with gr.Tabs():
-            with gr.Tab("Generate"):
-                gr.Markdown("### Generated Conference")
-                complete_audio_output = gr.Audio(
-                    label="Complete Conference (Download)",
-                    type="numpy",
-                    autoplay=False,
-                    show_download_button=True,
-                )
-                
-                with gr.Row():
-                    with gr.Column(scale=1):
-                        gr.Markdown("### Conference Settings")
-                        model_dropdown = gr.Dropdown(
-                            choices=AVAILABLE_MODELS,
-                            value=AVAILABLE_MODELS[0],
-                            label="Model",
-                        )
-                        num_speakers = gr.Slider(
-                            minimum=1, maximum=4, value=2, step=1,
-                            label="Number of Speakers",
-                        )
-
-                        gr.Markdown("### Speaker Selection")
-                        speaker_selections = []
-                        for i in range(4):
-                            speaker = gr.Dropdown(
-                                choices=AVAILABLE_VOICES,
-                                value=DEFAULT_SPEAKERS[i] if i < len(DEFAULT_SPEAKERS) else None,
-                                label=f"Speaker {i+1}",
-                                visible=(i < 2),
-                            )
-                            speaker_selections.append(speaker)
-
-                        with gr.Accordion("Advanced Settings", open=False):
-                            cfg_scale = gr.Slider(
-                                minimum=1.0, maximum=2.0, value=1.3, step=0.05,
-                                label="CFG Scale (Guidance Strength)",
-                            )
-
-                    with gr.Column(scale=2):
-                        gr.Markdown("### Script Input")
-                        script_input = gr.Textbox(
-                            label="Conversation Script",
-                            placeholder="Enter your conference script here...",
-                            lines=12,
-                            max_lines=20,
-                        )
-                        generate_btn = gr.Button(
-                            "🚀 Generate Conference (on Modal)", size="lg",
-                            variant="primary",
-                        )
-                        log_output = gr.Textbox(
-                            label="Generation Log",
-                            lines=8, max_lines=15,
-                            interactive=False,
-                        )
-
-                def update_speaker_visibility(num_speakers):
-                    return [gr.update(visible=(i < num_speakers)) for i in range(4)]
-
-                num_speakers.change(
-                    fn=update_speaker_visibility,
-                    inputs=[num_speakers],
-                    outputs=speaker_selections
-                )
-
-                def generate_podcast_wrapper(model_choice, num_speakers_val, script, *speakers_and_params):
-                    if remote_generate_function is None:
-                        return None, "ERROR: Modal function not deployed. Please contact the space owner."
-                    
-                    # Show a message that we are calling the remote function
-                    yield None, "🔄 Calling remote GPU on Modal.com... this may take a moment to start."
-
-                    try:
-                        speakers = speakers_and_params[:4]
-                        cfg_scale_val = speakers_and_params[4]
-                        
-                        # This is the call to the remote Modal function
-                        result, log = remote_generate_function.remote(
-                            num_speakers=int(num_speakers_val),
-                            script=script,
-                            speaker_1=speakers[0],
-                            speaker_2=speakers[1],
-                            speaker_3=speakers[2],
-                            speaker_4=speakers[3],
-                            cfg_scale=cfg_scale_val,
-                            model_name=model_choice
-                        )
-                        yield result, log
-                    except Exception as e:
-                        tb = traceback.format_exc()
-                        print(f"Error calling Modal: {e}")
-                        yield None, f"An error occurred in the Gradio wrapper: {e}\n\n{tb}"
-
-                generate_btn.click(
-                    fn=generate_podcast_wrapper,
-                    inputs=[model_dropdown, num_speakers, script_input] + speaker_selections + [cfg_scale],
-                    outputs=[complete_audio_output, log_output]
-                )
-    return interface
-
-# --- Main Execution ---
-if __name__ == "__main__":
-    if remote_generate_function is None:
-        # If Modal isn't set up, we can't launch the full app.
-        # We'll show a simplified UI with an error message.
-        with gr.Blocks(theme=theme) as interface:
-            gr.Markdown("# ❌ Configuration Error")
-            gr.Markdown(
-                "The Gradio application cannot connect to the Modal backend. "
-                "The Modal app has not been deployed yet. "
-                "Please run `modal deploy modal_runner.py` in your terminal and then refresh this page."
-            )
-        interface.launch()
-    else:
-        # Launch the full Gradio interface
-        interface = create_demo_interface()
-        interface.queue().launch(show_error=True)

frontend_app/public/voices/Cherry.mp3

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:0ac5796a412b2a4e191ecc037be6467cfd3c6233cf7dd2ce07d7742eb046cfbe
-size 509537

frontend_app/public/voices/Chicago.mp3

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6be99cc80c226a150402e0ec92ac40206de08ff7399136fc309597b0bd8837ad
-size 696782

frontend_app/public/voices/Janus.mp3

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4b8d608ec67b43a088e96691c009a095e488523a6aca29e1fa30d628e46e3ce7
-size 528763

frontend_app/public/voices/Mantis.mp3

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e37695776f1c93c4c86c7ba1b26ea365af566363432a02cbd65ca571f99e3c14
-size 619460

frontend_app/public/voices/Sponge.mp3

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c7ab366e71ec9c709d49cdb2778bf76f2de27cbbabb1d5452675b2b9a6c24d01
-size 535450

frontend_app/public/voices/Starchild.mp3

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e4255d53586fae89e44ba64f13857cc72c823acfa013c47617b42425bfe96d1f
-size 624894

frontend_app/requirements.txt

@@ -1,2 +0,0 @@
-gradio
-modal