update: HF deploy

.github/workflows/hf_hub_sync.yml

@@ -14,6 +14,10 @@ jobs:
         with:
           fetch-depth: 0
           lfs: true
+      - name: Add remote 
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        run: git remote add space  https://mecantronic-ai:$HF_TOKEN@huggingface.co/spaces/mecantronic-ai/sintetica-TTS
       - name: Push to hub
         env:
           HF_TOKEN: ${{ secrets.HF_TOKEN }}

Makefile

@@ -0,0 +1,27 @@
+install:
+	pip install --upgrade pip &&\
+		pip install -r requirements.txt
+
+test:
+	python -m pytest -vvv --cov=hello --cov=greeting \
+		--cov=smath --cov=web tests
+	python -m pytest --nbval notebook.ipynb	#tests our jupyter notebook
+	#python -m pytest -v tests/test_web.py #if you just want to test web
+
+debug:
+	python -m pytest -vv --pdb	#Debugger is invoked
+
+one-test:
+	python -m pytest -vv tests/test_greeting.py::test_my_name4
+
+debugthree:
+	#not working the way I expect
+	python -m pytest -vv --pdb --maxfail=4  # drop to PDB for first three failures
+
+format:
+	black *.py
+
+lint:
+	pylint --disable=R,C *.py
+
+all: install lint test format

app.py

@@ -0,0 +1,16 @@
+from transformers import pipeline
+import gradio as gr
+
+
+model = pipeline(
+    "summarization",
+)
+
+def predict(prompt):
+    summary = model(prompt)[0]["summary_text"]
+    return summary
+
+
+# create an interface for the model
+with gr.Interface(predict, "textbox", "text") as interface:
+    interface.launch()

requirements.txt

@@ -0,0 +1,3 @@
+gradio
+transformers
+tensorflow