Update app.py

app.py

@@ -3,6 +3,7 @@ import requests
 import os
 
 # Fetch Hugging Face and Groq API keys from secrets
+
 Transalate_token = os.getenv('HUGGINGFACE_TOKEN')
 Image_Token = os.getenv('HUGGINGFACE_TOKEN')
 Content_Token = os.getenv('GROQ_API_KEY')
@@ -36,7 +37,7 @@ def translate_text(text):
         return translated_text
     else:
         st.error(f"Translation Error {response.status_code}: {response.text}")
-        st.write('Please try again or provide an English input 😥')
+        st.write(f'Please try after sometime 😥😥😥')
         return None
 
 # Function to query Groq content generation model
@@ -89,13 +90,12 @@ def generate_image(image_prompt):
 
 # Main Streamlit app
 def main():
-
     st.title("🅰️ℹ️ FusionMind ➡️ Multimodal Generator 🤖")
-    
+
     # Sidebar for temperature and token adjustment
     st.sidebar.header("Settings")
     temperature = st.sidebar.slider("Select Temperature", 0.1, 1.0, 0.7)
-    max_tokens = st.sidebar.slider("Max Tokens for Content Generation", 100, 300, 200)
+    max_tokens = st.sidebar.slider("Max Tokens for Content Generation", 100, 400, 200)
 
     # Suggested inputs
     st.write("## Suggested Inputs")
@@ -105,37 +105,28 @@ def main():
     # Input box for user
     tamil_input = st.text_input("Enter Tamil text (or select a suggestion):", selected_suggestion)
 
-    # Initialize a variable to store the English text
-    english_text = None
-
     if st.button("Generate"):
         # Step 1: Translation (Tamil to English)
         if tamil_input:
             st.write("### Translated English Text:")
             english_text = translate_text(tamil_input)
-
-        # If translation fails, ask for English input
-        if not english_text:
-            english_text = st.text_input("Translation failed. Please enter English text instead:")
-
-        # Ensure the English text is available
-        if english_text:
-            st.success(english_text)
-
-            # Step 2: Generate Educational Content
-            st.write("### Generated Educational Content:")
-            with st.spinner('Generating content...'):
-                content_output = generate_content(english_text, max_tokens, temperature)
-                if content_output:
-                    st.success(content_output)
-
-            # Step 3: Generate Image from the prompt
-            st.write("### Generated Image:")
-            with st.spinner('Generating image...'):
-                image_prompt = generate_image_prompt(english_text)
-                image_data = generate_image(image_prompt)
-                if image_data:
-                    st.image(image_data, caption="Generated Image")
+            if english_text:
+                st.success(english_text)
+
+                # Step 2: Generate Educational Content
+                st.write("### Generated Educational Content:")
+                with st.spinner('Generating content...'):
+                    content_output = generate_content(english_text, max_tokens, temperature)
+                    if content_output:
+                        st.success(content_output)
+
+                # Step 3: Generate Image from the prompt
+                st.write("### Generated Image:")
+                with st.spinner('Generating image...'):
+                    image_prompt = generate_image_prompt(english_text)
+                    image_data = generate_image(image_prompt)
+                    if image_data:
+                        st.image(image_data, caption="Generated Image")
 
 if __name__ == "__main__":
     main()