Update app.py

app.py

@@ -9,8 +9,6 @@ import tempfile
 import base64
 import requests
 from datetime import datetime
-from gtts import gTTS
-from googletrans import Translator
 import google.generativeai as genai  # Import Gemini API
 
 # Configuring Google Gemini API
@@ -103,22 +101,7 @@ def inference(image, conf_threshold=0.5):
     return infer, detected_classes, class_names, confidence_scores
 
 
-# Converting text to chosen language speech
-def text_to_speech(text, language="en"):
-    """Convert text to speech using gTTS."""
-    try:
-        with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as temp_audio:
-            tts = gTTS(text=text, lang=language, slow=False)
-            tts.save(temp_audio.name)
-
-            with open(temp_audio.name, "rb") as audio_file:
-                audio_bytes = audio_file.read()
 
-            os.unlink(temp_audio.name)
-            return audio_bytes
-    except Exception as e:
-        st.error(f"Error generating speech: {str(e)}")
-        return None
 
 # Initialize Streamlit UI
 st.title("AI-Powered Crop Disease Detection & Diagnosis System")
@@ -132,14 +115,7 @@ with st.sidebar:
 
     confidence_threshold = st.slider("Detection Confidence Threshold", 0.0, 1.0, 0.4)
     
-    # Text-to-Speech Settings
-    tts_enabled = st.checkbox("Enable Text-to-Speech", value=True)
-    language = st.selectbox("Speech Language", options=["en", "ne", "hi", "bn"], format_func=lambda x: {
-        "en": "English",
-        "ne": "Nepali",
-        "hi": "Hindi",
-        "bn": "Bengali"
-    }[x])
+  
 
     if st.button("Clear Conversation History"):
         st.session_state.conversation_history = {}
@@ -222,19 +198,7 @@ if uploaded_file:
             for i, entry in enumerate(st.session_state.conversation_history[file_id]):
                 with st.expander(f"Q{i+1}: {entry['question'][:50]}..."):
                     st.write("**User:**", entry["question"])
-                    st.write("**AI:**", entry["response"])
-
-        # Convert diagnosis to speech if enabled
-
-        translator = Translator()
-        if tts_enabled:
-            if st.button("🔊 Listen to Diagnosis"):
-                with st.spinner("Generating audio... 🎵"):
-                    if language != "en": 
-                        diagnosis = translator.translate(diagnosis, dest=language)
-                    audio_bytes = text_to_speech(diagnosis, language)
-                    if audio_bytes:
-                        st.audio(audio_bytes, format="audio/mp3")
+                    st.write("**AI:**", entry["response"]) 
     else:
         st.write("✅ No high-confidence diseases detected.")
 
@@ -247,5 +211,4 @@ st.markdown("""
 3. The system detects the disease using AI.
 4. Gemini generates a diagnosis with symptoms and treatments.
 5. Ask follow-up questions, and the AI will remember previous responses.
-6. Optionally, listen to the AI-generated diagnosis.
 """)