Create launch.py

launch.py

@@ -0,0 +1,16 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+def generate_response(input_text):
+    model_name = "cognitivecomputations/dolphin-2.1-mistral-7b"
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
+    inputs = tokenizer(input_text, return_tensors="pt")
+    outputs = model.generate(**inputs, max_length=200, num_beams=5, early_stopping=True)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+    return response
+
+iface = gr.Interface(fn=generate_response, inputs="text", outputs="text")
+iface.launch()