Update app.py

app.py

@@ -27,7 +27,7 @@ benefits = st.sidebar.text_area("Product Benefits", "Benefit 1, Benefit 2, Benef
 specifications = st.sidebar.text_area("Product Specifications", "Specification 1, Specification 2, Specification 3")
 
 # Select target language for translation
-target_language = st.sidebar.selectbox("Target Language for Translation", ["Arabic", "Chinese", "French", "German", "Japanese", "Portugese", "Russian", "Spanish", "Urdu"])
+target_language = st.sidebar.selectbox("Target Language for Translation", ["French", "Spanish", "German", "Chinese", "Japanese"])
 
 # Main app title and description
 st.title("ProductProse - AI Product Description Generator")
@@ -46,10 +46,12 @@ if api_key and project_id:
     client.set.default_project(project_id)
 
     # Tone Selection for Description Customization
-    tone = st.sidebar.selectbox("Select Tone for Description", ["Formal", "Casual", "Professional", "Playful"])
+    tone_example = st.sidebar.selectbox("Select Example Tone (Feel free to modify)", ["Formal", "Casual", "Professional", "Playful"])
+    st.sidebar.markdown("_Example: You can choose a tone that best fits your brand's style._")
 
     # Keyword Input for SEO Optimization
-    seo_keywords = st.sidebar.text_area("SEO Keywords (comma-separated)", "smart home, intelligent, automation")
+    seo_keywords_example = st.sidebar.text_area("SEO Keywords (comma-separated, e.g., 'smart home, automation')", "smart home, intelligent, automation")
+    st.sidebar.markdown("_Example: Add keywords to optimize for search engines._")
 
     # Step 1: Generate Product Description
     st.header("Step 1: Generate Product Description")
@@ -75,6 +77,7 @@ if api_key and project_id:
                 with st.spinner("Generating product description..."):
                     description_response = model.generate_text(prompt=prompt)
                     st.session_state.generated_description = description_response
+                    st.session_state.translated_description = None  # Clear previous translations
                     st.success("Product description generated!")
                     st.write(description_response)
             except Exception as e:
@@ -115,13 +118,13 @@ if api_key and project_id:
 
     # Step 3: Customize Product Description via Chat Interface
     st.header("Step 3: Customize Product Description")
-    customization_prompt = st.text_input(f"Customize the product description with a {tone} tone and the following SEO keywords: {seo_keywords}")
+    customization_prompt = st.text_input("Customize the product description (Feel free to modify the example tone and SEO keywords)")
 
     if st.session_state.generated_description and customization_prompt:
         if st.button("Customize Description"):
             try:
                 # Customize the description using Granite-13B-Chat
-                prompt = f"Customize the following product description with a {tone} tone, using the following SEO keywords: {seo_keywords}.\nProduct Description:\n{st.session_state.generated_description}\nCustomization Request: {customization_prompt}\nGenerate only the final customized product description."
+                prompt = f"Customize the following product description with a {tone_example} tone, using the following SEO keywords: {seo_keywords_example}.\nProduct Description:\n{st.session_state.generated_description}\nCustomization Request: {customization_prompt}\nGenerate only the final customized product description."
                 model = ModelInference(model_id=ModelTypes.GRANITE_13B_CHAT_V2, params={
                     GenParams.DECODING_METHOD: DecodingMethods.GREEDY,
                     GenParams.MIN_NEW_TOKENS: 50,