Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_name = "hari7261/TechChat"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
+
+def chat(prompt, max_new_tokens=150):
+    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+    outputs = model.generate(**inputs, max_new_tokens=max_new_tokens)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+iface = gr.Interface(
+    fn=chat,
+    inputs=[
+        gr.Textbox(label="Your Question"),
+        gr.Slider(50, 500, value=150, step=10, label="Max New Tokens")
+    ],
+    outputs="text",
+    title="TechChat - Domain Specific Chatbot"
+)
+
+iface.launch()