Create app.py

app.py

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+import os
+import gradio as gr
+from gradio_client import Client
+
+MY_HF_TOKEN_KEY = os.environ["MY_HF_TOKEN_KEY"]
+
+client = Client("Ghana-NLP/ewe-tts",hf_token=MY_HF_TOKEN_KEY)
+
+def generate(text, direction):
+    output = client.predict(text, direction)
+    return  output
+
+title = "GhanaNLP: Test Text Translation Models"
+
+description = """
+<b>How to use:</b> Translate Ga or Ewe text to/from English.
+"""
+
+examples = [
+    ["Yaaba jogbaŋŋ mi Misuɔmɔ.","Ga->En"],
+    ["ha mi gbe fioo","Ga->En"],
+    ["kɛ osuɔmɔ aha mi","Ga->En"],
+]
+
+gr.Interface(
+    fn=generate,
+    inputs=[
+        gr.Text(label="Input Text"),
+        gr.Dropdown(
+            ["En->Ga", "Ga->En","En->Ewe", "Ewe->En"], label="Direction", info="Select From (Input) -> To (Output) languages"
+        ), 
+        ],
+    outputs=[
+        gr.Text(label="Output Text"),
+    ],
+    title=title,
+    description=description,
+    examples=examples,
+).launch()