Create app.py

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+# Load tokenizer and model
+tokenizer = AutoTokenizer.from_pretrained("TuringsSolutions/Phi3LawCaseManagement", trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained("TuringsSolutions/Phi3LawCaseManagement", trust_remote_code=True)
+
+def predict(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+# Create Gradio interface
+iface = gr.Interface(fn=predict, 
+                     inputs="text", 
+                     outputs="text",
+                     title="Phi3 Law Case Management Model",
+                     description="A model to assist with law case management.")
+
+# Launch the Gradio app
+iface.launch()