inital file system

README.md

@@ -1,13 +1,13 @@
 ---
-title: Fasttext Darija Identification
-emoji: 📚
-colorFrom: green
-colorTo: yellow
+title: Fasttext Language Identification
+emoji: 👁
+colorFrom: indigo
+colorTo: blue
 sdk: gradio
-sdk_version: 5.12.0
+sdk_version: 5.9.0
 app_file: app.py
 pinned: false
-license: mit
+license: apache-2.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,24 @@
+import fasttext
+from huggingface_hub import hf_hub_download
+import gradio as gr
+import numpy as np
+
+model_path = hf_hub_download(repo_id="medmac01/fasttext-darija-identification", filename="model.bin")
+model = fasttext.load_model(model_path)
+
+def predict(text, top=2):
+    labels, probabilities = model.predict(text, k=top)
+    cleaned_labels = [label.replace('__label__', '') for label in labels]
+    result = dict(zip(cleaned_labels, np.array(probabilities)))
+    return result
+
+demo = gr.Interface(
+    fn=predict,
+    inputs=[
+      gr.Textbox(lines=1, placeholder="Text", label="Content"),
+      # gr.Number(value=5, info='number of predictions that should be returned', minimum=1, maximum=100,  label="Top"),
+    ],
+    title="Language Identification Demo",
+    flagging_mode="never",
+    outputs=gr.Label(label="Result"))
+demo.launch(share=True, show_api=True)

requirements.txt

@@ -0,0 +1,4 @@
+gradio
+fasttext
+huggingface_hub
+numpy==1.26.4