Create app.py

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load the model and tokenizer
+model_name = "CharacterEcho/Rohit-Sharma"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Function to generate responses
+def generate_response(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    output = model.generate(inputs.input_ids, max_length=50, temperature=0.7, top_p=0.95, do_sample=True)
+    response = tokenizer.decode(output[0], skip_special_tokens=True)
+    return response
+
+# Gradio interface
+interface = gr.Interface(
+    fn=generate_response,
+    inputs="text",
+    outputs="text",
+    title="Rohit Sharma AI",
+    description="Ask Rohit Sharma anything!"
+)
+
+# Launch the app
+interface.launch()