Update app.py

app.py

@@ -5,7 +5,7 @@ from diffusers import DiffusionPipeline
 import tempfile
 import imageio
 
-# ---------- Models ----------
+# ---------- Setup ----------
 AVAILABLE_MODELS = {
     "GPT-2 (small, fast)": "gpt2",
     "Falcon (TII UAE)": "tiiuae/falcon-7b-instruct",
@@ -14,16 +14,26 @@ AVAILABLE_MODELS = {
 
 set_seed(42)
 text_model_cache = {}
-image_generator = pipeline("text-to-image", model="CompVis/stable-diffusion-v1-4")
 
-# Try loading video model safely
+# Load text-to-image model using diffusers (correct API)
+try:
+    image_generator = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
+    image_generator.to("cpu")
+    image_enabled = True
+except Exception as e:
+    image_generator = None
+    image_enabled = False
+    print(f"[Image model error]: {e}")
+
+# Load text-to-video model
 try:
     video_pipeline = DiffusionPipeline.from_pretrained("damo-vilab/text-to-video-ms-1.7b")
+    video_pipeline.to("cpu")
     video_enabled = True
 except Exception as e:
     video_pipeline = None
     video_enabled = False
-    print(f"[Video model not loaded]: {e}")
+    print(f"[Video model error]: {e}")
 
 chat_memory = {}
 
@@ -36,7 +46,6 @@ def codette_terminal(prompt, model_name, generate_image, generate_video, session
         chat_memory[session_id] = []
         return "🧠 Codette signing off... Session reset.", None, None
 
-    # Load and run text model
     if model_name not in text_model_cache:
         text_model_cache[model_name] = pipeline("text-generation", model=AVAILABLE_MODELS[model_name])
     generator = text_model_cache[model_name]
@@ -46,33 +55,35 @@ def codette_terminal(prompt, model_name, generate_image, generate_video, session
     chat_memory[session_id].append(f"🧠 Codette > {response}")
     chat_log = "\n".join(chat_memory[session_id][-10:])
 
-    # Image generation
-    image = image_generator(prompt)[0]['image'] if generate_image else None
+    img = None
+    if generate_image and image_enabled:
+        try:
+            img = image_generator(prompt).images[0]
+        except Exception as e:
+            chat_log += f"\n[Image error]: {e}"
 
-    # Video generation (if enabled and requested)
-    video_path = None
+    vid = None
     if generate_video and video_enabled:
         try:
             video_frames = video_pipeline(prompt, num_inference_steps=50).frames
             temp_video_path = tempfile.NamedTemporaryFile(suffix=".mp4", delete=False).name
             imageio.mimsave(temp_video_path, video_frames, fps=8)
-            video_path = temp_video_path
-        except Exception as ve:
-            chat_log += f"\n[Video generation error]: {ve}"
+            vid = temp_video_path
+        except Exception as e:
+            chat_log += f"\n[Video error]: {e}"
 
-    return chat_log, image, video_path
+    return chat_log, img, vid
 
-# ---------- UI ----------
-with gr.Blocks(title="Codette Terminal – AI Text + Image + Video") as demo:
-    gr.Markdown("## 🧬 Codette Terminal (Text + Image + Video, Hugging Face Edition)")
-    gr.Markdown("Choose a model, type your prompt, and optionally generate an image or video.\nType `'exit'` to reset session.")
+# ---------- Gradio UI ----------
+with gr.Blocks(title="Codette Terminal – Text + Image + Video") as demo:
+    gr.Markdown("## 🧬 Codette Terminal (Text + Image + Video, CPU-Friendly)")
+    gr.Markdown("Type a prompt and select your model. Optionally generate images or videos. Type `'exit'` to reset session.")
 
     session_id = gr.Textbox(value="session_default", visible=False)
     model_dropdown = gr.Dropdown(choices=list(AVAILABLE_MODELS.keys()), value="GPT-2 (small, fast)", label="Choose Language Model")
-    generate_image_toggle = gr.Checkbox(label="Also generate image?", value=False)
+    generate_image_toggle = gr.Checkbox(label="Also generate image?", value=False, interactive=image_enabled)
     generate_video_toggle = gr.Checkbox(label="Also generate video?", value=False, interactive=video_enabled)
-
-    user_input = gr.Textbox(label="Your Prompt", placeholder="e.g. A dragon flying over Tokyo", lines=1)
+    user_input = gr.Textbox(label="Your Prompt", placeholder="e.g. A robot dreaming on Mars", lines=1)
     output_text = gr.Textbox(label="Codette Output", lines=15, interactive=False)
     output_image = gr.Image(label="Generated Image")
     output_video = gr.Video(label="Generated Video")