Update app.py

app.py

@@ -1,64 +1,46 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
+# Tifinagh to Latin conversion map
+tifinagh_to_latin_map = {
+    'ⴰ': 'a', 'ⴱ': 'b', 'ⵛ': 'c', 'ⴷ': 'd', 'ⴻ': 'e', 'ⴼ': 'f', 'ⴳ': 'g', 'ⵀ': 'h', 
+    'ⵉ': 'i', 'ⵊ': 'j', 'ⴽ': 'k', 'ⵍ': 'l', 'ⵎ': 'm', 'ⵏ': 'n', 'ⵓ': 'u', 'ⵒ': 'p', 
+    'ⵇ': 'q', 'ⵔ': 'r', 'ⵙ': 's', 'ⵜ': 't', 'ⵡ': 'w', 'ⵅ': 'x', 'ⵢ': 'y', 
+    'ⵣ': 'z', 'ⴽⵯ': 'kʷ', 'ⵯ': 'ʷ', 'ⵇⵯ': 'qʷ', 'ⵖ': 'ɣ', 'ⵄ': 'ɛ', 'ⵥ': 'ẓ', 
+    'ⵕ': 'ṛ', 'ⵚ': 'ṣ', 'ⵃ': 'ḥ', 'ⵟ': 'ṭ', 'ⴹ': 'ḍ'
+}
+
+# Latin to Tifinagh conversion map (support for both uppercase and lowercase)
+latin_to_tifinagh_map = {
+    'A': 'ⴰ', 'B': 'ⴱ', 'C': 'ⵛ', 'D': 'ⴷ', 'E': 'ⴻ', 'F': 'ⴼ', 'G': 'ⴳ', 'H': 'ⵀ', 
+    'I': 'ⵉ', 'J': 'ⵊ', 'K': 'ⴽ', 'L': 'ⵍ', 'M': 'ⵎ', 'N': 'ⵏ', 'U': 'ⵓ', 'P': 'ⵒ', 
+    'Q': 'ⵇ', 'R': 'ⵔ', 'S': 'ⵙ', 'T': 'ⵜ', 'V': 'ⴼ', 'W': 'ⵡ', 'X': 'ⵅ', 'Y': 'ⵢ', 
+    'Z': 'ⵣ', 'kʷ': 'ⴽⵯ', 'ʷ': 'ⵯ', 'qʷ': 'ⵇⵯ', 'ɣ': 'ⵖ', 'ɛ': 'ⵄ', 'ẓ': 'ⵥ', 
+    'ṛ': 'ⵕ', 'ṣ': 'ⵚ', 'ḥ': 'ⵃ', 'ṭ': 'ⵟ',
+    'a': 'ⴰ', 'b': 'ⴱ', 'c': 'ⵛ', 'd': 'ⴷ', 'e': 'ⴻ', 'f': 'ⴼ', 'g': 'ⴳ', 'h': 'ⵀ', 
+    'i': 'ⵉ', 'j': 'ⵊ', 'k': 'ⴽ', 'l': 'ⵍ', 'm': 'ⵎ', 'n': 'ⵏ', 'o': 'ⵓ', 'p': 'ⵒ', 
+    'q': 'ⵇ', 'r': 'ⵔ', 's': 'ⵙ', 't': 'ⵜ', 'v': 'ⴼ', 'w': 'ⵡ', 'x': 'ⵅ', 'y': 'ⵢ', 
+    'z': 'ⵣ','ḍ':'ⴹ','Ḍ':'ⴹ'
+}
+
+def convert_text(input_text, conversion_type):
+    if conversion_type == 'Tifinagh to Latin':
+        return ''.join(tifinagh_to_latin_map.get(char, char) for char in input_text)
+    elif conversion_type == 'Latin to Tifinagh':
+        return ''.join(latin_to_tifinagh_map.get(char, char) for char in input_text)
+    return input_text
+
+# Gradio Interface with updated theme and centered description
+iface = gr.Interface(
+    fn=convert_text,
+    inputs=[
+        gr.Textbox(label="Enter Text", placeholder="Type text here..."),
+        gr.Radio(["Tifinagh to Latin", "Latin to Tifinagh"], label="Conversion Type")
     ],
+    outputs=gr.Textbox(label="Converted Text", interactive=True),
+    live=True,
+    title="Tifinagh Converter",
+    description="<center>Convert text between Tifinagh and Latin scripts.</center>",  # Centering the description
+    theme=gr.themes.Glass()  # Updated theme
 )
 
-
-if __name__ == "__main__":
-    demo.launch()
+iface.launch()