Create app.py

app.py

@@ -0,0 +1,38 @@
+import gradio as gr
+from transformers import pipeline
+
+# Model aani files HF space chya main folder madhech ahet mhanun path "./" thevlay
+model_path = "./" 
+
+print("Model load hot ahe, kripaya thamba...")
+
+# Text-generation saathi pipeline banavli ahe
+try:
+    # Jar tujha model text-classification kiva dusra asel tar "text-generation" badlu shaktos
+    pipe = pipeline("text-generation", model=model_path)
+except Exception as e:
+    print(f"Model load kartana error aala: {e}")
+
+def generate_text(prompt):
+    if not prompt:
+        return "Kripaya kahi tari text type kara."
+    try:
+        # Prompt model la deun output kadhne (max_length tu tujhya hishobane badlu shaktos)
+        output = pipe(prompt, max_length=150, do_sample=True, temperature=0.7)
+        return output[0]['generated_text']
+    except Exception as e:
+        return f"Kahitari chukla ahe (Error): {str(e)}"
+
+# Gradio cha UI (User Interface)
+demo = gr.Interface(
+    fn=generate_text,
+    inputs=gr.Textbox(lines=4, placeholder="Tula je vicharaychay te ithe type kar..."),
+    outputs=gr.Textbox(label="AI Model che Uttar:"),
+    title="🤖 Majha Swatacha AI Model",
+    description="Ha majha custom text AI model ahe jo Hugging Face var deploy kela ahe. Type kara aani test kara!",
+    theme="default"
+)
+
+# App chalu karne
+if __name__ == "__main__":
+    demo.launch()