Update app.py

app.py

@@ -6,21 +6,24 @@ from peft import PeftModel
 base_model = "ybelkada/falcon-7b-sharded-bf16"
 adapter_model = "Sanjay002/falcon-7b-mental-health-finetuned"
 
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
 tokenizer = AutoTokenizer.from_pretrained(base_model, trust_remote_code=True)
 model = AutoModelForCausalLM.from_pretrained(
     base_model,
-    device_map="auto",
-    torch_dtype=torch.bfloat16,
+    device_map=None,  # Don't map to GPU
+    torch_dtype=torch.float32 if device == "cpu" else torch.bfloat16,
     trust_remote_code=True
 )
 
 model = PeftModel.from_pretrained(model, adapter_model)
+model.to(device)
 model.eval()
 
 def chat(message):
-    inputs = tokenizer(message, return_tensors="pt").to("cuda")
+    inputs = tokenizer(message, return_tensors="pt").to(device)
     outputs = model.generate(**inputs, max_new_tokens=150, do_sample=True, temperature=0.7)
     response = tokenizer.decode(outputs[0], skip_special_tokens=True)
     return response
 
-gr.Interface(fn=chat, inputs="text", outputs="text", title="🧠 Mental Health Chatbot").queue().launch(share=False)
+gr.Interface(fn=chat, inputs="text", outputs="text", title="🧠 Mental Health Chatbot").queue().launch()