Readme
Browse files- .gitattributes +1 -0
- README.md +21 -4
- app.py +45 -10
- assets/ankira.png +3 -0
- assets/ankira_blue.png +0 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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assets/ankira.png filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -1,5 +1,5 @@
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---
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title: German Dictation Trainer
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emoji: ✍️
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colorFrom: indigo
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colorTo: green
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@@ -9,12 +9,27 @@ app_file: app.py
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pinned: false
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---
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-
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A mobile-first dictation trainer. Enter the words you want to practice, get a
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short German dictation read aloud, write it by hand, then photograph your page
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to see a word-level diff against the original.
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No models run in this Space — every inference is an HTTP call to a Modal
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endpoint. Configure these as **Space secrets**:
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@@ -24,5 +39,7 @@ endpoint. Configure these as **Space secrets**:
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| `MODAL_TTS_URL` | Higgs Audio v3 TTS (`/v1/audio/speech`; base URL also accepted) |
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| `MODAL_OCR_URL` | Qwen3-VL llama-server base URL (multimodal chat completions) |
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-
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-
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---
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title: Ankira - German Dictation Trainer
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emoji: ✍️
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colorFrom: indigo
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colorTo: green
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pinned: false
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---
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<p align="center">
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<img src="assets/ankira.png" alt="Ankira" width="320">
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</p>
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# Ankira: German Dictation Trainer
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A mobile-first dictation trainer. Enter the words you want to practice, get a
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short German dictation read aloud, write it by hand, then photograph your page
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to see a word-level diff against the original.
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Original plan included importing well-remembered words from Anki cards for practice, thus ANKIra.
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# Models used
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- https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-GGUF
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- https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct-GGUF
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- https://huggingface.co/bosonai/higgs-audio-v3-tts-4b
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# Running
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No models run in this Space — every inference is an HTTP call to a Modal
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endpoint. Configure these as **Space secrets**:
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| `MODAL_TTS_URL` | Higgs Audio v3 TTS (`/v1/audio/speech`; base URL also accepted) |
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| `MODAL_OCR_URL` | Qwen3-VL llama-server base URL (multimodal chat completions) |
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# Our Team
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- [@nofate](https://huggingface.co/nofater) Michael Gamov
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- [@latticetower](https://huggingface.co/latticetower) Tatiana Malygina
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app.py
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@@ -11,6 +11,7 @@ Run locally from this directory (the Space root):
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MODAL_LLM_URL=... MODAL_TTS_URL=... MODAL_OCR_URL=... uv run python app.py
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"""
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import json
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import os
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import tempfile
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margin: 0 auto !important;
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padding: 12px 14px 28px !important;
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}
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-
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font-size: 1.6rem;
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font-weight: 700;
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text-align: center;
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margin: 10px 0 2px;
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background: linear-gradient(135deg, #6366f1, #8b5cf6);
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-webkit-background-clip: text;
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background-clip: text;
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SPINNER = '<i class="fa-solid fa-spinner fa-spin"></i>'
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def _require_env(name: str) -> str:
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val = os.environ.get(name)
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if not val:
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# localStorage-backed: survives a tab reload while the learner writes (spec §3).
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state = gr.BrowserState({"diktat": "", "created_at": 0})
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gr.
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# Four stacked views; nav() keeps exactly one visible. Order must match
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# wizard.VIEWS.
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with gr.Group(visible=True) as view_input:
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gr.Markdown("###
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words_in = gr.Textbox(
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label="Words to practice",
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placeholder="Comma- or newline-separated, e.g. angeblich, ablehnen, Apfel",
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lines=4,
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)
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level_in = gr.Dropdown(["A1", "A2", "B1", "B2"], value="A2", label="Level")
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start_btn = gr.Button("
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input_status = gr.Markdown(visible=False, sanitize_html=False, elem_classes="status")
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with gr.Group(visible=False) as view_listen:
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gr.Markdown("###
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audio_out = gr.Audio(
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type="filepath", interactive=False, label="Dictation audio"
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)
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finished_btn = gr.Button("Finished", variant="primary")
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with gr.Group(visible=False) as view_upload:
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gr.Markdown("###
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image_in = gr.Image(
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type="filepath",
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sources=["upload", "webcam"],
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label="Photo of your handwriting",
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)
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with gr.Row():
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upload_status = gr.Markdown(visible=False, sanitize_html=False, elem_classes="status")
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with gr.Group(visible=False) as view_results:
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gr.Markdown("###
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recognized_out = gr.Textbox(
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label="Recognized text (OCR)", interactive=False, lines=4
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)
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MODAL_LLM_URL=... MODAL_TTS_URL=... MODAL_OCR_URL=... uv run python app.py
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"""
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import base64
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import json
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import os
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import tempfile
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margin: 0 auto !important;
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padding: 12px 14px 28px !important;
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}
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.app-header {
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display: flex;
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align-items: center;
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justify-content: center;
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gap: 12px;
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margin: 12px 0 4px;
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}
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.app-logo {
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height: 128px;
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width: auto;
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flex: 0 0 auto;
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}
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.app-title {
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font-size: 1.6rem;
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font-weight: 700;
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background: linear-gradient(135deg, #6366f1, #8b5cf6);
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-webkit-background-clip: text;
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background-clip: text;
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SPINNER = '<i class="fa-solid fa-spinner fa-spin"></i>'
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def _logo_data_uri() -> str:
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"""Embed the scaled-down Ankira logo as a base64 PNG data URI, so the header
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needs no Gradio file-serving allowlist. Empty string if the file is missing
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(the header then falls back to the ✍️ emoji)."""
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path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "assets", "ankira_blue.png")
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try:
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with open(path, "rb") as f:
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b64 = base64.b64encode(f.read()).decode("ascii")
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return f"data:image/png;base64,{b64}"
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except OSError:
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return ""
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_LOGO_URI = _logo_data_uri()
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_LOGO_TAG = (
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f'<img class="app-logo" alt="Ankira" src="{_LOGO_URI}">' if _LOGO_URI else "✍️"
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)
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HEADER_HTML = (
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f'<div class="app-header">{_LOGO_TAG}'
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f'<span class="app-title">German Dictation Trainer</span></div>'
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)
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def _require_env(name: str) -> str:
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val = os.environ.get(name)
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if not val:
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# localStorage-backed: survives a tab reload while the learner writes (spec §3).
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state = gr.BrowserState({"diktat": "", "created_at": 0})
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gr.HTML(HEADER_HTML)
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# Four stacked views; nav() keeps exactly one visible. Order must match
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# wizard.VIEWS.
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with gr.Group(visible=True) as view_input:
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gr.Markdown("### Let's start!", elem_classes="panel-title")
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words_in = gr.Textbox(
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label="Words to practice",
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placeholder="Comma- or newline-separated, e.g. angeblich, ablehnen, Apfel",
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lines=4,
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)
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level_in = gr.Dropdown(["A1", "A2", "B1", "B2"], value="A2", label="Level")
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start_btn = gr.Button("Generate", variant="primary")
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input_status = gr.Markdown(visible=False, sanitize_html=False, elem_classes="status")
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with gr.Group(visible=False) as view_listen:
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gr.Markdown("### Listen", elem_classes="panel-title")
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audio_out = gr.Audio(
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type="filepath", interactive=False, label="Dictation audio"
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)
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finished_btn = gr.Button("Finished", variant="primary")
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with gr.Group(visible=False) as view_upload:
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gr.Markdown("### Upload", elem_classes="panel-title")
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image_in = gr.Image(
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type="filepath",
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sources=["upload", "webcam", "clipboard"],
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label="Photo of your handwriting",
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)
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with gr.Row():
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upload_status = gr.Markdown(visible=False, sanitize_html=False, elem_classes="status")
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with gr.Group(visible=False) as view_results:
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gr.Markdown("### Results", elem_classes="panel-title")
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recognized_out = gr.Textbox(
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label="Recognized text (OCR)", interactive=False, lines=4
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)
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assets/ankira.png
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Git LFS Details
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assets/ankira_blue.png
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