Create app.py

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from transformers import pipeline
+
+pipeline = pipeline(task="text-generation", model="HiTZ/Mistral-7B-MedExpQA-EN")
+
+@app.get("/generate")
+def generate(text: str):
+    """
+    Using the text-generation pipeline from `transformers`, generate text
+    from the given input text. The base model is Mistral7b.
+    """
+    output = pipeline(text)
+    return {"output": output[0]["generated_text"]}
+
+gradio_app = gr.Interface(fn=generate, inputs="text", outputs="text")
+    
+#demo.launch()
+
+if __name__ == "__main__":
+    gradio_app.launch()