Initial commit

app.py

@@ -0,0 +1,13 @@
+# app.py — local chat with FLAN-T5 (no token needed)
+import gradio as gr
+from transformers import pipeline
+pipe = pipeline("text2text-generation",
+model="google/flan-t5-base")
+def chat(message, history):
+# prepend a simple instruction; keep short history to avoid long inputs
+ prompt = f"Respond helpfully to the user.\nUser:{message}\nAssistant:"
+ out = pipe(prompt, max_new_tokens=256,temperature=0.7)[0]["generated_text"]
+ return out
+demo = gr.ChatInterface(chat, title="FLAN-T5 Chat (no token)")
+if __name__ == "__main__":
+ demo.launch()

requirements.txt

@@ -0,0 +1,3 @@
+gradio
+transformers
+torch