first commit

LICENSE

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README.md

@@ -1,10 +1,11 @@
 ---
-title: Generate Subtitles For Videos
-emoji: 📚
-colorFrom: indigo
-colorTo: indigo
+title: Generate subtitles
+emoji: 🌖
+colorFrom: yellow
+colorTo: green
 sdk: gradio
-sdk_version: 3.44.3
+python_version: 3.8.9
+sdk_version: 3.0.26
 app_file: app.py
 pinned: false
 license: apache-2.0

app.py

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+#!/usr/bin/env python3
+#
+# Copyright      2022-2023  Xiaomi Corp.        (authors: Fangjun Kuang)
+#
+# See LICENSE for clarification regarding multiple authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# References:
+# https://gradio.app/docs/#dropdown
+
+
+import logging
+import gradio as gr
+
+title = "# Next-gen Kaldi: Generate subtitles for videos"
+
+description = """
+This space shows how to generate subtitles/captions with Next-gen Kaldi.
+
+It is running on CPU within a docker container provided by Hugging Face.
+
+See more information by visiting the following links:
+
+- <https://github.com/k2-fsa/sherpa-onnx>
+- <https://github.com/k2-fsa/icefall>
+- <https://github.com/k2-fsa/k2>
+- <https://github.com/lhotse-speech/lhotse>
+
+If you want to deploy it locally, please see
+<https://k2-fsa.github.io/sherpa/>
+"""
+
+# css style is copied from
+# https://huggingface.co/spaces/alphacep/asr/blob/main/app.py#L113
+css = """
+.result {display:flex;flex-direction:column}
+.result_item {padding:15px;margin-bottom:8px;border-radius:15px;width:100%}
+.result_item_success {background-color:mediumaquamarine;color:white;align-self:start}
+.result_item_error {background-color:#ff7070;color:white;align-self:start}
+"""
+
+
+def build_html_output(s: str, style: str = "result_item_success"):
+    return f"""
+    <div class='result'>
+        <div class='result_item {style}'>
+          {s}
+        </div>
+    </div>
+    """
+
+
+def process_uploaded_file(
+    language: str,
+    in_filename: str,
+):
+    if in_filename is None or in_filename == "":
+        return "", build_html_output(
+            "Please first upload a file and then click "
+            'the button "submit for recognition"',
+            "result_item_error",
+        )
+
+    logging.info(f"Processing uploaded file: {in_filename}")
+
+    return "Done", build_html_output("ok", "result_item_success")
+
+
+demo = gr.Blocks(css=css)
+
+
+with demo:
+    gr.Markdown(title)
+    language_choices = ["English", "Chinese"]
+
+    language_radio = gr.Radio(
+        label="Language",
+        choices=language_choices,
+        value=language_choices[0],
+    )
+
+    with gr.Tabs():
+        with gr.TabItem("Upload video from disk"):
+            uploaded_file = gr.Video(
+                source="upload",
+                interactive=True,
+                type="filepath",
+                label="Upload from disk",
+            )
+            upload_button = gr.Button("Submit for recognition")
+            uploaded_output = gr.Textbox(label="Recognized speech from uploaded file")
+            uploaded_html_info = gr.HTML(label="Info")
+
+        upload_button.click(
+            process_uploaded_file,
+            inputs=[
+                language_radio,
+                uploaded_file,
+            ],
+            outputs=[uploaded_output, uploaded_html_info],
+        )
+
+    gr.Markdown(description)
+
+if __name__ == "__main__":
+    formatter = "%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s"
+
+    logging.basicConfig(format=formatter, level=logging.INFO)
+
+    demo.launch()

requirements.txt

@@ -0,0 +1,13 @@
+https://download.pytorch.org/whl/cpu/torch-1.13.1%2Bcpu-cp38-cp38-linux_x86_64.whl
+https://download.pytorch.org/whl/cpu/torchaudio-0.13.1%2Bcpu-cp38-cp38-linux_x86_64.whl
+
+https://huggingface.co/csukuangfj/wheels/resolve/main/2023-01-30/k2-1.23.4.dev20230130%2Bcpu.torch1.13.1-cp38-cp38-linux_x86_64.whl
+https://huggingface.co/csukuangfj/wheels/resolve/main/2023-01-30/k2_sherpa-1.1-cp38-cp38-linux_x86_64.whl
+https://huggingface.co/csukuangfj/wheels/resolve/main/2023-01-30/kaldifeat-1.22-cp38-cp38-linux_x86_64.whl
+
+sentencepiece>=0.1.96
+numpy
+
+huggingface_hub
+sherpa-onnx>=1.7.0
+ffmpeg-python