Update app.py

app.py

@@ -99,7 +99,7 @@ def text_to_speech(text, language="en"):
         return None
 
 # Initialize Streamlit UI
-st.title("🌱 AI-Powered Crop Disease Detection & Diagnosis 🔬")
+st.title("AI-Powered Crop Disease Detection & Diagnosis System")
 
 # Sidebar settings
 with st.sidebar:
@@ -125,7 +125,7 @@ with st.sidebar:
 
 
 # User context input with example prompts
-st.subheader("📝 Provide Initial Context or Ask a Question")
+st.subheader("Provide Initial Context or Ask a Question")
 
 # Generalized example prompts for easier input
 example_prompts = {
@@ -201,9 +201,10 @@ if uploaded_file:
                 with st.spinner("Generating audio... 🎵"):
                     # Translate the diagnosis to the target language
                     translator = Translator()
-                    translated_text = translator.translate(diagnosis, dest=language).text
+                    diagnosis = diagnosis.text
+                    translated_text = translator.translate(diagnosis, dest=language)
                     # Filter out unwanted characters like '#' and '*'
-                    filtered_text = ''.join[c for c in translated_text if c not in ['#', '*']]
+                    filtered_text = ''.join(c for c in translated_text if c not in ['#', '*'])
                     # Now process the translated text for TTS
                     audio_bytes = text_to_speech(filtered_text, language)
                     if audio_bytes: