Update app.py

app.py

@@ -1,4 +1,5 @@
 import os
+import pandas as pd
 from openai import OpenAI
 import gradio as gr
 
@@ -11,13 +12,20 @@ client = OpenAI(
     base_url="https://api.groq.com/openai/v1"
 )
 
-# Store session-based history
+# In-memory translation history
 translation_history = []
 
-# Translation logic
+# 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"
+]
+
+# Translation function with history tracking
 def translate_and_save(text, target_lang):
     if not text.strip() or not target_lang.strip():
-        return "⚠️ Please enter both English text and target language.", translation_history
+        return "⚠️ Please enter both English text and target language.", pd.DataFrame(translation_history)
 
     prompt = f"Translate the following English text to {target_lang}:\n\n{text}"
     
@@ -29,18 +37,21 @@ def translate_and_save(text, target_lang):
         )
         translated = response.choices[0].message.content.strip()
 
-        # Save to history
+        # Save to history as a dict
         translation_history.append({
             "English Text": text,
             "Language": target_lang,
             "Translation": translated
         })
 
-        return translated, translation_history
+        # Convert to DataFrame for display
+        history_df = pd.DataFrame(translation_history)
+
+        return translated, history_df
     except Exception as e:
-        return f"❌ Error: {str(e)}", translation_history
+        return f"❌ Error: {str(e)}", pd.DataFrame(translation_history)
 
-# UI
+# Build the 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**.")
@@ -49,24 +60,30 @@ with gr.Blocks(theme=gr.themes.Soft()) as app:
         with gr.Column(scale=1):
             text_input = gr.Textbox(label="✏️ English Text", placeholder="Enter your English sentence here...", lines=4)
         with gr.Column(scale=1):
-            lang_input = gr.Textbox(label="🌐 Target Language", placeholder="e.g., Urdu, French, Spanish")
+            lang_dropdown = gr.Dropdown(
+                choices=language_list,
+                label="🌐 Target Language",
+                info="Select a language",
+                allow_custom_value=True,
+                interactive=True
+            )
 
     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(headers=["English Text", "Language", "Translation"], interactive=False)
+    history_table = gr.Dataframe(label="📜 Translation History", interactive=False)
 
     translate_btn.click(
         fn=translate_and_save,
-        inputs=[text_input, lang_input],
+        inputs=[text_input, lang_dropdown],
         outputs=[output_box, history_table]
     )
 
     clear_btn.click(
-        lambda: ("", "", "", translation_history),
-        outputs=[text_input, lang_input, output_box, history_table]
+        lambda: ("", "", "", pd.DataFrame(translation_history)),
+        outputs=[text_input, lang_dropdown, output_box, history_table]
     )
 
     gr.Markdown("---")