requirements.txt

gradio
transformers
torch

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_name = "cognitivecomputations/dolphin-2.8-mistral-7b-v02"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def generate_text(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs, max_length=200)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+iface = gr.Interface(
+    fn=generate_text,
+    inputs="text",
+    outputs="text",
+    title="Dolphin Mistral Demo",
+    description="Enter a prompt and get a generated response."
+)
+
+iface.launch()