Update app.py

app.py

@@ -1,18 +1,5 @@
-import gradio as gr
-from transformers import pipeline
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
 
-pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
-
-def predict(input_img):
-    predictions = pipeline(input_img)
-    return input_img, {p["label"]: p["score"] for p in predictions} 
-
-gradio_app = gr.Interface(
-    predict,
-    inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"),
-    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
-    title="Hot Dog? Or Not?",
-)
-
-if __name__ == "__main__":
-    gradio_app.launch()
+tokenizer = AutoTokenizer.from_pretrained("cognitivecomputations/dolphin-2.6-mixtral-8x7b")
+model = AutoModelForCausalLM.from_pretrained("cognitivecomputations/dolphin-2.6-mixtral-8x7b")