Update app.py

app.py

@@ -1,18 +1,48 @@
+import torch
+from transformers import AutoModelForSequenceClassification, AutoTokenizer, AutoModelForImageGeneration
+from PIL import Image
 import gradio as gr
-from transformers import pipeline
 
-# Text-to-Image model
-text_to_image = pipeline("text-to-image", model="ByteDance/SDXL-Lightning")
+# Load the language model
+language_model = AutoModelForSequenceClassification.from_pretrained("mistralai/Mixtral-8x7B-Instruct-v0.1")
+language_tokenizer = AutoTokenizer.from_pretrained("mistralai/Mixtral-8x7B-Instruct-v0.1")
 
-# Chat model
-chat = pipeline("conversational", model="ProPerNounpYK/chat")
+# Load the image generation model
+image_model = AutoModelForImageGeneration.from_pretrained("artificialguybr/CuteCartoonRedmond-V2")
+image_tokenizer = AutoTokenizer.from_pretrained("artificialguybr/CuteCartoonRedmond-V2")
 
-interface = gr.Interface(
-    fn=lambda input: chat(input, text_to_image(input)),
+# Define a function to generate an image based on a prompt
+def generate_image(prompt):
+    input_ids = image_tokenizer.encode(prompt, return_tensors="pt")
+    output = image_model.generate(input_ids)
+    image = Image.fromarray(output[0].detach().numpy())
+    return image
+
+# Define a function to have a conversation
+def have_conversation(input_text):
+    input_ids = language_tokenizer.encode(input_text, return_tensors="pt")
+    output = language_model.generate(input_ids)
+    response = language_tokenizer.decode(output[0], skip_special_tokens=True)
+    return response
+
+# Create a Gradio interface
+iface = gr.Interface(
+    fn=have_conversation,
+    inputs="text",
+    outputs="text",
+    title="Converse with AI",
+    description="Talk to the AI and see its response!"
+)
+
+# Add an image generation feature to the interface
+iface.add_component(
+    gr.Image(type="pil"),
     inputs="text",
-    outputs=["text", "image"],
-    title="Text-to-Image Chat",
-    description="Type something and get a response with an image!"
+    outputs="image",
+    fn=generate_image,
+    title="Generate Image",
+    description="Enter a prompt and see the generated image!"
 )
 
-interface.launch()
+# Launch the interface
+iface.launch()