Update app.py

app.py

@@ -0,0 +1,23 @@
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+import gradio as gr
+
+model_path = 'kahennefer/fine_tuned_gpt2'
+
+model = AutoModelForCausalLM.from_pretrained(model_path)
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+
+text_gen_pipeline = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def generate_answer(question):
+    result = text_gen_pipeline(question, max_length=100, num_return_sequences=1)
+    return result[0]['generated_text']
+
+iface = gr.Interface(
+    fn=generate_answer,
+    inputs=gr.Textbox(lines=2, placeholder="Ask a question about the case..."),
+    outputs=gr.Text(label="Answer"),
+    title="Case-Specific Question Answering System",
+    description="Ask any question about the case, and the model will provide an answer based on its knowledge."
+)
+
+iface.launch(enable_queue=True)