Update app.py

app.py

@@ -1,31 +1,26 @@
 import os
-import pandas as pd
-from openai import OpenAI
 import gradio as gr
+from openai import OpenAI
+from datetime import datetime
 
-# Load API key securely
+# Load Groq API key
 api_key = os.getenv("GROQ_API_KEY")
+client = OpenAI(api_key=api_key, base_url="https://api.groq.com/openai/v1")
 
-# Initialize Groq-compatible OpenAI client
-client = OpenAI(
-    api_key=api_key,
-    base_url="https://api.groq.com/openai/v1"
-)
-
-# In-memory translation history
+# Store translation history
 translation_history = []
 
-# Full language list
-language_list = [
-    "Urdu", "Hindi", "Arabic", "Spanish", "French", "German", "Chinese", "Japanese",
-    "Korean", "Turkish", "Russian", "Portuguese", "Italian", "Bengali", "Tamil",
-    "Punjabi", "Greek", "Dutch", "Polish", "Swedish", "Norwegian", "Hebrew"
+# Supported languages
+LANGUAGES = [
+    "Urdu", "Arabic", "Chinese", "French", "German", "Hindi", "Italian", 
+    "Japanese", "Korean", "Persian", "Portuguese", "Punjabi", "Russian", 
+    "Spanish", "Turkish"
 ]
 
-# Translation function with history tracking
-def translate_and_save(text, target_lang):
+# Translation function
+def translate_text(text, target_lang):
     if not text.strip() or not target_lang.strip():
-        return "⚠️ Please enter both English text and target language.", pd.DataFrame(translation_history)
+        return "⚠️ Please enter both English text and select a target language."
 
     prompt = f"Translate the following English text to {target_lang}:\n\n{text}"
     
@@ -37,57 +32,72 @@ def translate_and_save(text, target_lang):
         )
         translated = response.choices[0].message.content.strip()
 
-        # Save to history as a dict
+        # Append to history
         translation_history.append({
-            "English Text": text,
-            "Language": target_lang,
-            "Translation": translated
+            "Time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
+            "From": text,
+            "To": target_lang,
+            "Result": translated
         })
+        return translated
+    except Exception as e:
+        return f"❌ Error: {str(e)}"
 
-        # Convert to DataFrame for display
-        history_df = pd.DataFrame(translation_history)
+# Clear input/output
+def clear_all():
+    return "", LANGUAGES[0], "", []
 
-        return translated, history_df
-    except Exception as e:
-        return f"❌ Error: {str(e)}", pd.DataFrame(translation_history)
+# Load history
+def get_history():
+    if not translation_history:
+        return []
+    return [[row["Time"], row["From"], row["To"], row["Result"]] for row in translation_history[::-1]]
 
-# Build the Gradio UI
+# Gradio UI
 with gr.Blocks(theme=gr.themes.Soft()) as app:
-    gr.Markdown("# 🌍 English Language Translator")
-    gr.Markdown("Translate any English sentence into your desired language using **Groq's LLaMA3 model**.")
+    gr.Markdown(
+        """
+        # 🌍 English Language Translator
+
+        ### ✅ Features:
+        - Translate English text to 15+ languages using **Groq’s LLaMA3 model**
+        - Clean, responsive, and dark-themed UI
+        - Easy language selection from dropdown menu
+        - Instant translation with a single click
+        - Translation history displayed in a table
+        - "Clear" button to reset inputs and output
+        """
+    )
 
     with gr.Row():
         with gr.Column(scale=1):
-            text_input = gr.Textbox(label="✏️ English Text", placeholder="Enter your English sentence here...", lines=4)
+            text_input = gr.Textbox(
+                label="📝 English Text",
+                placeholder="e.g., The construction site was damaged after the storm.",
+                lines=4
+            )
+
         with gr.Column(scale=1):
-            lang_dropdown = gr.Dropdown(
-                choices=language_list,
-                label="🌐 Target Language",
-                info="Select a language",
-                allow_custom_value=True,
-                interactive=True
+            lang_input = gr.Dropdown(
+                choices=LANGUAGES,
+                value=LANGUAGES[0],
+                label="🌐 Target Language"
             )
 
     with gr.Row():
         translate_btn = gr.Button("🌐 Translate")
         clear_btn = gr.Button("🧹 Clear")
 
-    output_box = gr.Textbox(label="📝 Translated Text", lines=6)
-    history_table = gr.Dataframe(label="📜 Translation History", interactive=False)
+    output_box = gr.Textbox(label="📄 Translated Text", lines=4)
 
-    translate_btn.click(
-        fn=translate_and_save,
-        inputs=[text_input, lang_dropdown],
-        outputs=[output_box, history_table]
-    )
+    with gr.Accordion("📜 Translation History", open=False):
+        history_table = gr.Dataframe(headers=["Time", "English Text", "Target Language", "Translation"])
 
-    clear_btn.click(
-        lambda: ("", "", "", pd.DataFrame(translation_history)),
-        outputs=[text_input, lang_dropdown, output_box, history_table]
-    )
+    # Bind actions
+    translate_btn.click(fn=translate_text, inputs=[text_input, lang_input], outputs=output_box)\
+                 .then(fn=get_history, outputs=history_table)
 
-    gr.Markdown("---")
-    gr.Markdown("⚡ Powered by [Groq](https://groq.com) | Built with ❤️ using [Gradio](https://gradio.app)")
+    clear_btn.click(fn=clear_all, outputs=[text_input, lang_input, output_box, history_table])
 
-# Launch the app
+# Launch app
 app.launch()