Upload app.py with huggingface_hub

app.py

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+import os
+
+from huggingface_hub import hf_hub_download, snapshot_download
+
+from pipeline import DialogPipeline
+from demo_app import create_demo
+
+MODEL_REPO = "sakeef/bangla-dialog-models"
+
+# Download NLU checkpoint (single .pt file) and the T5 model directory from the
+# Hub on first startup. After that they are cached and reused across restarts.
+nlu_ckpt = hf_hub_download(repo_id=MODEL_REPO, filename="nlu/best_model.pt")
+nlu_dir = os.path.dirname(nlu_ckpt)
+
+nlg_dir = snapshot_download(repo_id=MODEL_REPO, allow_patterns="nlg/*")
+nlg_dir = os.path.join(nlg_dir, "nlg")
+
+pipeline = DialogPipeline(
+    nlu_model_path=nlu_dir,
+    gen_model_path=nlg_dir,
+    labels_dir="./labels",
+    bert_model="sagorsarker/bangla-bert-base",
+)
+
+demo = create_demo(pipeline)
+demo.launch()