Update app.py

app.py

@@ -1,7 +1,21 @@
 import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
 
-def greet(name):
-    return "Hello " + name + "!!"
+generated_text = tokenizer.decode(output[0])
+print(generated_text)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def GenerateResp(prompt):
+    model = AutoModelForCausalLM.from_pretrained('rexwang8/qilin-lit-6b')
+    tokenizer = AutoTokenizer.from_pretrained('rexwang8/lit-6b')
+    
+    #prompt = '''I had eyes but couldn't see Mount Tai!'''
+    
+    input_ids = tokenizer.encode(prompt, return_tensors='pt')
+    output = model.generate(input_ids, do_sample=True, temperature=1.0, top_p=0.9, repetition_penalty=1.2, max_length=len(input_ids[0])+100, pad_token_id=tokenizer.eos_token_id)
+    return output
+
+
+inputbox = gr.Textbox(label="Input",lines=3,placeholder='Type anything. The longer the better since it gives Qilin more context. Qilin is trained on english translated eastern (mostly chinese) webnovels.')
+output = gr.Textbox(label="GPT-VC",lines=8)
+iface = gr.Interface(fn=GenerateResp, inputs="inputbox", outputs="output")
+iface.launch()