Update app.py

app.py

@@ -8,20 +8,12 @@ from transformers import GPT2LMHeadModel, GPT2Tokenizer
 from transformers import set_seed
 import random
 
-
-import pyttsx3
-from gtts import gTTS
-import os
-
-
 import nltk
 from nltk.corpus import stopwords
 from nltk.tokenize import sent_tokenize, word_tokenize
 from nltk.probability import FreqDist
 from nltk import download
 
-
-
 # Download NLTK data (if not already downloaded)
 download('punkt')
 download('stopwords')
@@ -1275,13 +1267,6 @@ st.write()
 st.markdown("""---""")
 st.write()
 
-
-def read_recipe_aloud(recipe):
-    tts = gTTS(text=recipe, lang='en')
-    tts.save("recipe.mp3")
-    os.system("mpg321 recipe.mp3")
-
-    
 if my_upload is not None:
     st.image(my_upload, caption="Uploaded Image", use_column_width=True)
 
@@ -1320,27 +1305,26 @@ if st.button("Generate Recipe"):
         title = selected_entry["title"]
         ingredients = selected_entry["ingredients"]
         recipe = selected_entry["recipe"]
+        youtube_link = f"https://www.youtube.com/results?search_query={title}+recipe"
     else:
         title = "Default Recipe Title"
         ingredients = []
         recipe = "No recipe found for this item."
+        youtube_link = ""
 
     st.write(f"Generated Recipe for {title}:\n")
     st.write(f"Ingredients: {', '.join(ingredients)}")
     st.write(f"Instructions: {recipe}")
 
-    
-    # Add a button to trigger the voice function
-if st.button("voice"):
-    read_recipe_aloud(recipe)
-
-    
-
     # Generate and display the recipe summary
     st.write("Recipe Summary:")
     recipe_summary = generate_summary(recipe)
     st.write(recipe_summary)
 
+    # Display YouTube link
+    st.write(f"YouTube Recipe Link: [{title} Recipe]({youtube_link})")
+
+
 # Add some descriptions and instructions
 st.sidebar.markdown("### Instructions")
 st.sidebar.markdown("1. Upload an image.")