Create app.py

app.py

@@ -0,0 +1,25 @@
+from transformers import pipeline
+hf_tag = "facebook/xglm-4.5B"
+xglm_model = pipeline('text-generation', model=hf_tag)
+
+
+def query_xglm(prompt:str, print_response=True, min_rl=40, max_rl=260):
+    result =xglm_model(prompt, 
+            do_sample=True,
+            min_length=min_rl+len(prompt),
+            max_length=max_rl+len(prompt),
+            top_k=40,
+            temperature=0.6,
+            clean_up_tokenization_spaces=True)
+
+    return result[0]['generated_text']
+   
+   
+   face=gr.Interface(
+    fn=query_xglm,
+    inputs=['text'],
+    outputs=['text'],
+    title='MULTILINGUAL TEXT GENERATION',
+    examples=samples
+)
+face.launch()