Update app.py

app.py

@@ -2,19 +2,22 @@ import os
 from openai import OpenAI
 import gradio as gr
 
-# 🔐 Load API key securely (from HF Spaces Secrets or local environment)
-api_key = os.getenv("GROQ_API_KEY")  # Set this in your environment
+# Load API key securely
+api_key = os.getenv("GROQ_API_KEY")
 
-# 🧠 Initialize Groq-compatible OpenAI client
+# Initialize Groq-compatible OpenAI client
 client = OpenAI(
     api_key=api_key,
     base_url="https://api.groq.com/openai/v1"
 )
 
-# 🌐 Translation function
-def translate_text(text, target_lang):
+# Store session-based history
+translation_history = []
+
+# Translation logic
+def translate_and_save(text, target_lang):
     if not text.strip() or not target_lang.strip():
-        return "⚠️ Please enter both English text and the target language."
+        return "⚠️ Please enter both English text and target language.", translation_history
 
     prompt = f"Translate the following English text to {target_lang}:\n\n{text}"
     
@@ -24,47 +27,50 @@ def translate_text(text, target_lang):
             messages=[{"role": "user", "content": prompt}],
             temperature=0.5
         )
-        return response.choices[0].message.content.strip()
+        translated = response.choices[0].message.content.strip()
+
+        # Save to history
+        translation_history.append({
+            "English Text": text,
+            "Language": target_lang,
+            "Translation": translated
+        })
+
+        return translated, translation_history
     except Exception as e:
-        return f"❌ Error: {str(e)}"
+        return f"❌ Error: {str(e)}", translation_history
 
-# 🎨 Gradio UI
+# UI
 with gr.Blocks(theme=gr.themes.Soft()) as app:
-    gr.Markdown(
-        """
-        # 🌍 English Language Translator
-        Translate any English text into your desired language using **Groq's LLaMA3 model**.
-        """
-    )
+    gr.Markdown("# 🌍 English Language Translator")
+    gr.Markdown("Translate any English sentence into your desired language using **Groq's LLaMA3 model**.")
 
     with gr.Row():
         with gr.Column(scale=1):
-            gr.Markdown("### ✏️ Enter English Text")
-            text_input = gr.Textbox(
-                placeholder="e.g., The construction site was damaged after the storm.",
-                lines=4,
-                label="English Text"
-            )
-
+            text_input = gr.Textbox(label="✏️ English Text", placeholder="Enter your English sentence here...", lines=4)
         with gr.Column(scale=1):
-            gr.Markdown("### 🌐 Target Language")
-            lang_input = gr.Textbox(
-                placeholder="e.g., Urdu, Spanish, French",
-                label="Target Language"
-            )
+            lang_input = gr.Textbox(label="🌐 Target Language", placeholder="e.g., Urdu, French, Spanish")
 
     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)
+
+    translate_btn.click(
+        fn=translate_and_save,
+        inputs=[text_input, lang_input],
+        outputs=[output_box, history_table]
+    )
 
-    # Bind button actions
-    translate_btn.click(fn=translate_text, inputs=[text_input, lang_input], outputs=[output_box])
-    clear_btn.click(lambda: ("", "", ""), outputs=[text_input, lang_input, output_box])
+    clear_btn.click(
+        lambda: ("", "", "", translation_history),
+        outputs=[text_input, lang_input, output_box, history_table]
+    )
 
     gr.Markdown("---")
-    gr.Markdown("⚡ Powered by [Groq](https://groq.com) | Built with ❤️ and [Gradio](https://gradio.app)")
+    gr.Markdown("⚡ Powered by [Groq](https://groq.com) | Built with ❤️ using [Gradio](https://gradio.app)")
 
-# 🚀 Launch
+# Launch the app
 app.launch()