Update app.py

app.py

@@ -11,53 +11,53 @@ from PIL import Image
 import requests
 import io
 import time
- 
+
 # Set up Groq API key
 api_key = os.getenv("grog_key")
 client = Groq(api_key=api_key)
- 
+
 # Hugging Face API details for image generation
-key = os.getenv("hf_key")
+H_key = os.getenv("hf_key")
 API_URL = "https://api-inference.huggingface.co/models/Artples/LAI-ImageGeneration-vSDXL-2"
-headers = {"Authorization": f"Bearer {key}"}
- 
- 
+headers = {"Authorization": f"Bearer {H_key}"}
+
+
 # Function for querying image generation with retries
 def query_image_generation(payload, max_retries=5):
     for attempt in range(max_retries):
         response = requests.post(API_URL, headers=headers, json=payload)
- 
+
         if response.status_code == 503:
             print(f"Model is still loading, retrying... Attempt {attempt + 1}/{max_retries}")
             estimated_time = min(response.json().get("estimated_time", 60), 60)
             time.sleep(estimated_time)
             continue
- 
+
         if response.status_code != 200:
             print(f"Error: Received status code {response.status_code}")
             print(f"Response: {response.text}")
             return None
- 
+
         return response.content
- 
+
     print(f"Failed to generate image after {max_retries} attempts.")
     return None
- 
+
 # Function for generating an image from text
 def generate_image(prompt):
     image_bytes = query_image_generation({"inputs": prompt})
- 
+
     if image_bytes is None:
         return None
- 
+
     try:
         image = Image.open(io.BytesIO(image_bytes))  # Opening the image from bytes
         return image
     except Exception as e:
         print(f"Error: {e}")
         return None
- 
- 
+
+
 # Updated function for text generation using the new API structure
 def generate_creative_text(prompt):
     chat_completion = client.chat.completions.create(
@@ -68,12 +68,12 @@ def generate_creative_text(prompt):
             )
     chatbot_response = chat_completion.choices[0].message.content
     return chatbot_response
- 
- 
+
+
 def process_audio(audio_path, image_option, creative_text_option):
     if audio_path is None:
         return "Please upload an audio file.", None, None, None
- 
+
     # Step 1: Transcribe audio
     try:
         with open(audio_path, "rb") as file:
@@ -86,28 +86,29 @@ def process_audio(audio_path, image_option, creative_text_option):
         tamil_text = transcription.text
     except Exception as e:
         return f"An error occurred during transcription: {str(e)}", None, None, None
+   
     # Step 2: Translate Tamil to English
     try:
         translator = GoogleTranslator(source='ta', target='en')
         translation = translator.translate(tamil_text)
     except Exception as e:
         return tamil_text, f"An error occurred during translation: {str(e)}", None, None
- 
+
     # Step 3: Generate creative text (if selected)
     creative_text = None
     if creative_text_option == "Generate Creative Text":
         creative_text = generate_creative_text(translation)
- 
+
     # Step 4: Generate image (if selected)
     image = None
     if image_option == "Generate Image":
         image = generate_image(translation)
         if image is None:
             return tamil_text, translation, creative_text, f"An error occurred during image generation"
- 
+
     return tamil_text, translation, creative_text, image      
- 
- 
+
+
 # Create Gradio interface
 with gr.Blocks(theme=gr.themes.Base()) as iface:
     gr.Markdown("# Audio Transcription, Translation, Image & Creative Text Generation")
@@ -127,7 +128,6 @@ with gr.Blocks(theme=gr.themes.Base()) as iface:
         inputs=[audio_input, image_option, creative_text_option],
         outputs=[tamil_text_output, translation_output, creative_text_output, image_output]
     )
- 
-# Launch the interface
-iface.launch()
 
+# Launch the interface
+iface.launch()