Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
 license: cc-by-nc-4.0
-pipeline_tag: translation
+pipeline_tag: automatic-speech-recognition
 ---
 # SimulSeamless
 ![ACL Anthology](https://img.shields.io/badge/anthology-brightgreen?logo=data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0iVVRGLTgiIHN0YW5kYWxvbmU9Im5vIj8%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%2BCjwvc3ZnPgo%3D&label=ACL&labelColor=white&color=red)
@@ -16,7 +16,7 @@ In the case of [💬 Inference using docker](#💬-inference-using-docker), use
 `f1f5b9a69a47496630aa43605f1bd46e5484a2f4` for SimulEval.
 
 ## 🤖 Inference using your environment
-Please, set `--source`, and `--target` as described in the 
+Set `--source`, and `--target` as described in the 
 [Fairseq Simultaneous Translation repository](https://github.com/facebookresearch/fairseq/blob/main/examples/speech_to_text/docs/simulst_mustc_example.md#inference--evaluation): 
 `${LIST_OF_AUDIO}` is the list of audio paths and `${TGT_FILE}` the segment-wise references in the 
 target language. 
@@ -30,7 +30,7 @@ tokenizer used, for example, to evaluate German) or `char` (e.g., to evaluate ch
 languages such as Chinese or Japanese). 
 
 The simultaneous inference of SimulSeamless is based on 
-[AlignAtt](ALIGNATT_SIMULST_AGENT_INTERSPEECH2023.md), thus the __f__ parameter (`${FRAME}`) and the
+[AlignAtt](https://github.com/hlt-mt/FBK-fairseq/blob/master/fbk_works/ALIGNATT_SIMULST_AGENT_INTERSPEECH2023.md), thus the __f__ parameter (`${FRAME}`) and the
 layer from which to extract the attention scores (`${LAYER}`) have to be set accordingly. 
 
 ### Instruction to replicate IWSLT 2024 results ↙️
@@ -97,41 +97,6 @@ To set, `${TGT_LANG}`, `${FRAME}`, `${LAYER}`, `${BLEU_TOKENIZER}`, `${LATENCY_U
 `${LIST_OF_AUDIO}`, `${TGT_FILE}`, `${SEG_SIZE}`, and `${OUT_DIR}` refer to 
 [🤖 Inference using your environment](#-inference-using-your-environment).
 
-### Instruction to recreate the docker images
-
-To recreate the docker images, follow the steps below.
-
-1. Download SimulEval and this repository. 
-2. Create a `Dockerfile` with the following content:
-```
-FROM python:3.9
-RUN pip install torch==1.11.0+cu113 torchvision==0.12.0+cu113 torchaudio==0.11.0 --extra-index-url https://download.pytorch.org/whl/cu113
-ADD /SimulEval /SimulEval
-WORKDIR /SimulEval
-RUN pip install -e .
-WORKDIR ../
-ADD /fbk-fairseq /fbk-fairseq
-WORKDIR /fbk-fairseq
-RUN pip install -e .
-RUN pip install -r speech_requirements.txt
-WORKDIR ../
-RUN pip install sentencepiece
-RUN pip install transformers
-
-ENTRYPOINT simuleval --standalone --remote-port 2024 \
-        --agent-class examples.speech_to_text.simultaneous_translation.agents.v1_1.simul_alignatt_seamlessm4t.AlignAttSeamlessS2T \
-        --model-size medium --num-beams 5 --user-dir fbk-fairseq/examples \
-        --target-language $TGTLANG --frame-num $FRAME --extract-attn-from-layer $LAYER --device $DEV \
-        --sacrebleu-tokenizer ${BLEU_TOKENIZER} --eval-latency-unit ${LATENCY_UNIT}
-```
-3. Build the docker image:
-```
-docker build -t simulseamless .
-```
-4. Save the docker image:
-```
-docker save -o simulseamless.tar simulseamless:latest
-```
 
 ## 📍Citation
 ```bibtex