Update app.py

app.py

@@ -4,16 +4,16 @@ import os
 from PIL import Image
 
 # Set up the OpenAI API key and prompt from environment variables (secrets)
-openai.api_key = os.getenv('OPENAI_API_KEY')
-nutrition_prompt = os.getenv('NUTRITION_PROMPT')
+openai.api_key = os.getenv('OPENAI_API_KEY').strip()
+nutrition_prompt = os.getenv('NUTRITION_PROMPT').strip()
 
-# Function to call OpenAI API and get nutritional information
+# Function to call GPT-4o-mini to get nutritional information from text description
 def get_nutritional_info(description):
     prompt = f"{nutrition_prompt}: {description}"
     
     try:
         response = openai.ChatCompletion.create(
-            model="gpt-3.5-turbo",  # Using GPT-3.5 turbo model
+            model="gpt-4o-mini",  # Assuming GPT-4o-mini is the text model you're using
             messages=[
                 {"role": "system", "content": "You are a nutrition expert."},
                 {"role": "user", "content": prompt}
@@ -23,14 +23,13 @@ def get_nutritional_info(description):
         )
         return response.choices[0].message['content'].strip()
     except Exception as e:
-        return f"Oops! Something went wrong: {str(e)}"
+        return f"Oops! Something went wrong with nutritional breakdown: {str(e)}"
 
 # Gradio interface function
 def analyze_meal(image, description):
     if image is not None:
-        # Placeholder for image recognition (to be implemented or integrated later)
-        detected_dish = "Yum! Looks like a delicious dish, but image analysis is not ready yet. Please describe your meal below!"
-        return detected_dish
+        # Since GPT-4o-mini does not support image input, we ask the user to describe the meal
+        return "Yum! Looks like a delicious dish, but image analysis is not supported. Please describe your meal below!"
     elif description:
         # Use the description to get nutritional information
         result = get_nutritional_info(description)
@@ -40,7 +39,7 @@ def analyze_meal(image, description):
 
 # Gradio app layout
 inputs = [
-    gr.Image(label="Upload your meal (Take a bite out of that picture!)", type="pil"),
+    gr.Image(label="Upload your meal (Take a bite out of that picture!)", type="pil", optional=True),
     gr.Textbox(label="Describe your meal if image recognition fails", lines=2, placeholder="e.g., a plate of upma with coconut chutney"),
 ]