Create app.py

app.py

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+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+# Load fine-tuned model from Hugging Face
+model_name = "syedmoinms/MoinRomanticBot"  # ✅ Tumhara sahi model path
+
+try:
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, device_map="auto")
+except Exception as e:
+    print(f"❌ Error loading model: {e}")
+    exit()
+
+# Function to generate response
+def chatbot(input_text):
+    inputs = tokenizer(input_text, return_tensors="pt").to("cuda" if torch.cuda.is_available() else "cpu")
+    
+    with torch.no_grad():
+        outputs = model.generate(**inputs, max_length=150)
+    
+    response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+    
+    return response
+
+# Gradio interface
+iface = gr.Interface(fn=chatbot, inputs="text", outputs="text", title="Moin Romantic Bot")
+
+# Launch app
+if __name__ == "__main__":
+    iface.launch(server_name="0.0.0.0", server_port=7860)