Create app.py

app.py

@@ -0,0 +1,29 @@
+import os
+import gradio as gr
+from huggingface_hub import login
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+
+login(os.environ["HF_TOKEN"])
+model_id = "jimy26/Sherlock_Model"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id, use_auth_token=True)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    device_map="auto",
+    torch_dtype="auto",
+    use_auth_token=True
+)
+
+def chat(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+    outputs = model.generate(**inputs, max_new_tokens=150, temperature=0.7, top_p=0.9)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+gr.Interface(
+    fn=chat,
+    inputs=gr.Textbox(lines=3, placeholder="Ask Sherlock Holmes something..."),
+    outputs="text",
+    title="🕵️ Chat with Sherlock Holmes",
+    description="A character-based chatbot fine-tuned to act like Sherlock Holmes."
+).launch()