Add application file

app.py

@@ -3,7 +3,6 @@ from typing import Iterable
 import gradio as gr
 from gradio.themes.base import Base
 from gradio.themes.utils import colors, fonts, sizes
-import time
 from transformers import AutoModelForCausalLM, AutoTokenizer
 from PIL import Image
 import numpy as np
@@ -17,25 +16,35 @@ model = AutoModelForCausalLM.from_pretrained(
 tokenizer = AutoTokenizer.from_pretrained(model_id, revision=revision)
 
 def analyze_image_direct(image, question):
+    # This is a placeholder; modify based on the actual capabilities of your model.
+    # Here we assume that the model has methods `encode_image` and `answer_question` which might not exist.
+    # You need to replace them with the actual methods your model uses to process images and generate answers.
+    
     # Convert PIL Image to the format expected by the model
-    # Note: This step depends on the model's expected input format
-    # For demonstration, assuming the model accepts PIL images directly
-    enc_image = model.encode_image(image)  # This method might not exist; adjust based on actual model capabilities
+    # Example transformation (actual code will depend on model's requirements):
+    enc_image = np.array(image)  # Placeholder transformation; adjust as needed
     
-    # Generate an answer to the question based on the encoded image
-    # Note: This step is hypothetical and depends on the model's capabilities
-    answer = model.answer_question(enc_image, question, tokenizer)  # Adjust based on actual model capabilities
+    # Hypothetical method calls (replace with actual methods):
+    inputs = tokenizer.encode(question, return_tensors='pt')
+    outputs = model.generate(inputs, max_length=50)
+    answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
     
     return answer
 
 # Define a custom theme with purple color scheme
 class PurpleTheme(Base):
-    primary_color = "#9b59b6"  # Example purple shade
-    primary_color_dark = "#8e44ad"  # Darker purple
-    text_color = "#FFFFFF"  # White text for contrast
-    background_color = "#5B2C6F"  # Deep purple background
-    secondary_background_color = "#7D3C98"  # Lighter purple for secondary elements
-    font = "Arial"
+    def __init__(self):
+        super().__init__()
+        self.primary_hue = colors.Purple
+        self.secondary_hue = colors.Purple
+        self.neutral_hue = colors.Gray
+        self.text_size = sizes.text_lg
+        self.text_color = colors.white
+        self.background_color = colors.purple_900
+        self.primary_text_color = colors.white
+        self.secondary_background_color = colors.purple_700
+        self.secondary_text_color = colors.white
+        self.font = fonts.GoogleFont("Arial")
 
 # Create a custom theme instance
 purple_theme = PurpleTheme()
@@ -49,4 +58,4 @@ iface = gr.Interface(fn=analyze_image_direct,
                      description="Upload an image and ask a question about it directly using the model.")
 
 # Launch the interface
-iface.launch()
+iface.launch()