Update app.py

app.py

@@ -1,41 +1,24 @@
-import openai
 import gradio as gr
-import os
-
-# Set up Groq API key
-GROQ_API_KEY = "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" # Use environment variable for security
-client = openai.OpenAI(api_key=GROQ_API_KEY, base_url="https://api.groq.com/openai/v1")
-
-# Initialize conversation history
-conversation_history = []
-
-def chat_with_groq(user_input):
-    global conversation_history
-
-    if user_input.lower() == 'exit':
-        return "Chatbot: Goodbye!"
-
-    conversation_history.append({"role": "user", "content": user_input})
-
-    try:
-        response = client.chat.completions.create(
-            model="llama3-8b-8192",  # Replace with your desired model
-            messages=conversation_history
-        )
-        bot_reply = response.choices[0].message.content
-        conversation_history.append({"role": "assistant", "content": bot_reply})
-        return bot_reply
-    except Exception as e:
-        return f"Error: {e}"
-
-# Create Gradio interface
-chatbot_ui = gr.Interface(
-    fn=chat_with_groq,
-    inputs=gr.Textbox(lines=2, placeholder="Type your message..."),
-    outputs=gr.Textbox(),
-    title="Groq Chatbot",
-    description="Chat with an AI powered by Groq API!"
+from transformers import pipeline
+
+# Load the translation pipeline
+translator = pipeline("translation_en_to_ur", model="Helsinki-NLP/opus-mt-en-ur")
+
+def translate_text(text):
+    if not text.strip():
+        return "Please enter some text."
+    
+    translated = translator(text)
+    return translated[0]['translation_text']
+
+# Gradio Interface
+iface = gr.Interface(
+    fn=translate_text,
+    inputs=gr.Textbox(lines=5, placeholder="Enter text in English..."),
+    outputs=gr.Textbox(label="Translated Text in Urdu"),
+    title="English to Urdu Translator",
+    description="Enter English text and get its Urdu translation instantly."
 )
 
 if __name__ == "__main__":
-    chatbot_ui.launch(share=True)
+    iface.launch()