Update app.py

app.py

@@ -1,63 +1,19 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
+import requests
+import os
 
-"""
-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")
+API_URL = "https://api-inference.huggingface.co/models/atlasia/Terjman-Large-v2"
+HF_TOKEN = os.environ['HF_TOKEN']
+headers = {"Authorization": "Bearer "+ HF_TOKEN}
 
+def respond(english_text):
+    payload  = {
+        "inputs": english_text,
+    }
+    darija_translated_text = requests.post(API_URL, headers=headers, json=payload)
+    return darija_translated_text.json()[0]["generated_text"]
 
-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)",
-        ),
-    ],
-)
-
+app = gr.Interface(fn=respond, inputs="text", outputs="text", title="Terjman-Ultra 👨‍💻", description="Translate English text to Moroccan Darija 🤗")
 
 if __name__ == "__main__":
-    demo.launch()
+    app.launch()