Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+import transformers
+import torch
+
+# Function to load model and process inputs
+def chatbot(input_text):
+    # Load a pre-trained mental health model (e.g., the one you selected: 'mental_health_chatbot')
+    model_name = "thrishala/mental_health_chatbot"  # Update with your selected model
+    model = transformers.AutoModelForCausalLM.from_pretrained(model_name)
+    tokenizer = transformers.AutoTokenizer.from_pretrained(model_name)
+
+    # Process input and generate response
+    inputs = tokenizer(input_text, return_tensors="pt")
+    outputs = model.generate(**inputs)
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    
+    return response
+
+# Define the Gradio interface
+interface = gr.Interface(fn=chatbot, inputs="text", outputs="text")
+
+# Launch the Gradio app
+interface.launch()