chatbot file

chatbot.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load your fine-tuned model
+model_name = "SupermanRX/moderateTherapistModel"  # Replace with your Hugging Face model path
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def chatbot(input_text):
+    # Process user input and generate response
+    inputs = tokenizer(input_text, return_tensors="pt")
+    outputs = model.generate(inputs["input_ids"], max_length=200, pad_token_id=tokenizer.eos_token_id)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    return response
+
+# Create a Gradio interface
+interface = gr.Interface(
+    fn=chatbot,
+    inputs="text",
+    outputs="text",
+    title="Chat with Your Model"
+)
+
+# Launch the Gradio app
+interface.launch()